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Meng B, Folaron MR, Strawbridge RR, Sadeghipour N, Samkoe KS, Tichauer K, Davis SC. Noninvasive imaging of dual-agent uptake in glioma and normal tissue using MRI-coupled fluorescence tomography. PROCEEDINGS OF SPIE--THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING 2019; 10874:1087413. [PMID: 31929675 PMCID: PMC6953723 DOI: 10.1117/12.2510515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
As the role of immuno-oncological therapeutics expands, the capacity to noninvasively quantify molecular targets and drug-target engagement is increasingly critical to drug development efforts and treatment monitoring. Previously, we showed that MRI-coupled dual-agent fluorescence tomography (FMT) is capable of estimating the concentration of epidermal growth factor receptor (EGFR) in orthotopic glioma models noninvasively. This approach uses the dynamic information of two fluorescent agents (a targeted agent and untargeted isotype) to estimate tumor receptor concentration in vivo. This approach generally relies on the two tracers having similar kinetics in normal tissues, which may not always be the case. Herein, we describe an additional channel added to the MRI-FMT system which measures the uptake of both agents in the normal muscle, data which can be used to compensate for differing kinetic behavior.
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Affiliation(s)
- Boyu Meng
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755
| | | | | | - Negar Sadeghipour
- Armour College of Engineering, Illinois Institute of Technology, Chicago, IL 60616
| | | | - Kenneth Tichauer
- Armour College of Engineering, Illinois Institute of Technology, Chicago, IL 60616
| | - Scott C Davis
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755
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Liao P, Larsson J, Krite Svanberg E, Lundin P, Swartling J, Lewander Xu M, Bood J, Andersson-Engels S. Computer simulation analysis of source-detector position for percutaneously measured O 2 -gas signal in a three-dimensional preterm infant lung. JOURNAL OF BIOPHOTONICS 2018; 11:e201800023. [PMID: 29978572 DOI: 10.1002/jbio.201800023] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Accepted: 07/02/2018] [Indexed: 05/16/2023]
Abstract
Further improvements in the clinical care of our most vulnerable patients-preterm infants-are needed. Novel diagnostic and surveillance tools facilitate such advances. The GASMAS technique has shown potential to become a tool to, noninvasively, monitor gas in the lungs of preterm infants, by placing a laser source and a detector on the chest wall skin. It is believed that this technology will become a valuable clinical diagnostic tool for monitoring the lung function of these patients. Today, the technology is, for this application, in an early stage and further investigations are needed. In the present study, a three-dimensional computer model of the thorax of an infant is constructed, from a set of CT images. Light transport simulations are performed to provide information about the position dependence of the laser- and detector probe on the thorax of the infant. The result of the simulations, based on the study method and the specified model used in this work, indicates that measurement geometries in front and on the side of the lung are favorable in order to obtain a good gas absorption signal.
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Affiliation(s)
- Peilang Liao
- Department of Physics, Lund University, Lund, Sweden
- GPX Medical AB, Lund, Sweden
- Lund Laser Centre, Lund University, Lund, Sweden
| | - Jim Larsson
- Lund Laser Centre, Lund University, Lund, Sweden
- Division of Combustion Physics, Department of Physics, Lund University, Lund, Sweden
| | - Emilie Krite Svanberg
- Lund Laser Centre, Lund University, Lund, Sweden
- Department of Clinical Sciences, Anesthesiology and Intensive Care Medicine, Skåne University Hospital, Lund University, Lund, Sweden
| | - Patrik Lundin
- Department of Physics, Lund University, Lund, Sweden
- GPX Medical AB, Lund, Sweden
- Lund Laser Centre, Lund University, Lund, Sweden
| | | | | | - Joakim Bood
- Lund Laser Centre, Lund University, Lund, Sweden
- Division of Combustion Physics, Department of Physics, Lund University, Lund, Sweden
| | - Stefan Andersson-Engels
- Department of Physics, Lund University, Lund, Sweden
- Lund Laser Centre, Lund University, Lund, Sweden
- IPIC, Tyndall National Institute, Cork, Ireland
- Department of Physics, University College Cork, Cork, Ireland
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53
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Bae H, Kim SS, Lee S, Song H, Lee S, Koh D, Kim JG, Jung DC. Development of a multi-channel NIRS-USG hybrid imaging system for detecting prostate cancer and improving the accuracy of imaging-based diagnosis: a phantom study. Ultrasonography 2018; 38:143-148. [PMID: 30196648 PMCID: PMC6443586 DOI: 10.14366/usg.18030] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Accepted: 07/14/2018] [Indexed: 11/09/2022] Open
Abstract
Purpose This study aimed to develop a multi-channel near-infrared spectroscopy (NIRS) and ultrasonography (USG) fusion imaging system for imaging prostate cancer and to verify its diagnostic capability by applying the hybrid imaging system to a prostate cancer phantom. Methods A multi-channel NIRS system using the near-infrared 785-nm wavelength with 12 channels and four detectors was developed. After arranging the optical fibers around a USG transducer, we performed NIRS imaging and grayscale USG imaging simultaneously. Fusion imaging was obtained by processing incoming signals and the spatial reconstruction of NIRS, which corresponded with grayscale USG acquired at the same time. The NIRS-USG hybrid system was applied to a silicone-based optical phantom of the prostate gland containing prostate cancer to verify its diagnostic capability qualitatively. Results The NIRS-USG hybrid imaging system for prostate cancer imaging simultaneously provided anatomical and optical information with 2-dimensional registration. The hybrid imaging system showed more NIR attenuation over the prostate cancer model than over the model of normal prostate tissue. Its diagnostic capability to discriminate a focal area mimicking the optical properties of prostate cancer from the surrounding background mimicking the optical properties of normal prostate tissue was verified by applying the hybrid system to a silicone-based optical phantom of prostate cancer. Conclusion This study successfully demonstrated that the NIRS-USG hybrid system may serve as a new imaging method for improving the diagnostic accuracy of prostate cancer, with potential utility for future clinical applications.
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Affiliation(s)
- Heejin Bae
- Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
| | - Seung-Seob Kim
- Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
| | - Seungsoo Lee
- Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
| | - Hyuna Song
- Department of Biomicrosystem Engineering, Korea University College of Health Science, Seoul, Korea
| | - Songhyun Lee
- Department of Medical System Engineering, School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, Korea
| | - Dalkwon Koh
- Department of Biomicrosystem Engineering, Korea University College of Health Science, Seoul, Korea
| | - Jae Gwan Kim
- Department of Medical System Engineering, School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, Korea
| | - Dae Chul Jung
- Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
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Zhang B, Yin W, Liu H, Cao X, Wang H. Bioluminescence tomography with structural information estimated via statistical mouse atlas registration. BIOMEDICAL OPTICS EXPRESS 2018; 9:3544-3558. [PMID: 30338139 PMCID: PMC6191626 DOI: 10.1364/boe.9.003544] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Revised: 06/27/2018] [Accepted: 07/02/2018] [Indexed: 05/10/2023]
Abstract
Due to an ill-posed and underestimated characteristic of bioluminescence tomography (BLT) reconstruction, a priori anatomical information obtained from computed tomography (CT) or magnetic resonance imaging (MRI), is usually incorporated to improve the reconstruction accuracy. The organs need to be segmented, which is time-consuming and challenging, especially for the low-contrast CT images. In this paper, we present a BLT reconstruction method based on a statistical mouse atlas to improve the efficiency of heterogeneous model generation and the accuracy of target localization. The low-contrast CT image of the mouse was first registered to the statistical mouse atlas model with the constraints of mouse surface and high-contrast organs (bone and lung). Then the other organs, such as the liver and kidney, were determined automatically through the statistical mouse atlas model. The estimated organs were then discretized into tetrahedral meshes for BLT reconstruction. The linearized Bregman method was used to solve the sparse inverse problem of BLT by minimizing the regularization function (L1 norm plus L2 norm with smooth factor). Both numerical simulations and in vivo experiments were conducted, and the results demonstrate that even though the localization of the estimated organs may not be exactly accurate, the proposed method is feasible to reconstruct the bioluminescent source effectively and accurately with the estimated organs. This method would greatly benefit the bioluminescent light source localization for hybrid BLT/CT systems.
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Affiliation(s)
- Bin Zhang
- School of Biomedical Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Wanzhou Yin
- School of Biomedical Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Hao Liu
- School of Biomedical Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Xu Cao
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education & School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Hongkai Wang
- School of Biomedical Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
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55
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Xu K, Shi J, Pourmand A, Udayakumar TS, Dogan N, Zhao W, Pollack A, Yang Y. Plasmonic Optical Imaging of Gold Nanorods Localization in Small Animals. Sci Rep 2018; 8:9342. [PMID: 29921960 PMCID: PMC6008467 DOI: 10.1038/s41598-018-27624-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Accepted: 06/04/2018] [Indexed: 12/22/2022] Open
Abstract
Gold nanoparticles (GNP) have been intensively investigated for applications in cancer imaging and therapy. Most imaging studies focused on microscopic imaging. Their potential as optical imaging probes for whole body small animal imaging has rarely been explored. Taking advantage of their surface plasmon resonance (SPR) properties, we aim to develop a noninvasive diffuse optical imaging method to map the distribution of a special type of GNP, gold nanorods (GNR), in small animals. We developed an integrated dual-modality imaging system capable of both x-ray computed tomography (XCT) and diffuse optical tomography (DOT). XCT provides the animal anatomy and contour required for DOT; DOT maps the distribution of GNR in the animal. This SPR enhanced optical imaging (SPROI) technique was investigated using simulation, phantom and mouse experiments. The distribution of GNR at various concentrations (0.1-100 nM, or 3.5 ug/g-3.5 mg/g) was successfully reconstructed from centimeter-scaled volumes. SPROI detected GNR at 18 μg/g concentration in the mouse breast tumor, and is 3 orders more sensitive than x-ray imaging. This study demonstrated the high sensitivity of SPROI in mapping GNR distributions in small animals. It does not require additional imaging tags other than GNR themselves. SPROI can be used to detect tumors targeted by GNR via passive targeting based on enhanced permeability and retention or via active targeting using biologically conjugated ligands.
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Affiliation(s)
- Keying Xu
- Department of Radiation Oncology, University of Miami School of Medicine, Miami, FL, 33136, USA
- Department of Biomedical Engineering, University of Miami College of Engineering, Coral Gables, FL, 33146, USA
| | - Junwei Shi
- Department of Radiation Oncology, University of Miami School of Medicine, Miami, FL, 33136, USA
| | - Ali Pourmand
- Department of Marine Geoscience, University of Miami RSMAS, Miami, FL, 33149, USA
| | | | - Nesrin Dogan
- Department of Radiation Oncology, University of Miami School of Medicine, Miami, FL, 33136, USA
- Department of Biomedical Engineering, University of Miami College of Engineering, Coral Gables, FL, 33146, USA
| | - Weizhao Zhao
- Department of Biomedical Engineering, University of Miami College of Engineering, Coral Gables, FL, 33146, USA
| | - Alan Pollack
- Department of Radiation Oncology, University of Miami School of Medicine, Miami, FL, 33136, USA
| | - Yidong Yang
- Department of Radiation Oncology, University of Miami School of Medicine, Miami, FL, 33136, USA.
- Department of Biomedical Engineering, University of Miami College of Engineering, Coral Gables, FL, 33146, USA.
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Han S, Proctor AR, Ren J, Benoit DSW, Choe R. Temporal blood flow changes measured by diffuse correlation tomography predict murine femoral graft healing. PLoS One 2018; 13:e0197031. [PMID: 29813078 PMCID: PMC5973582 DOI: 10.1371/journal.pone.0197031] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Accepted: 04/25/2018] [Indexed: 12/18/2022] Open
Abstract
Blood flow changes during bone graft healing have the potential to provide important information about graft success, as the nutrients, oxygen, circulating cells and growth factors essential for integration are delivered by blood. However, longitudinal monitoring of blood flow changes during graft healing has been a challenge due to limitations in current techniques. To this end, non-invasive diffuse correlation tomography (DCT) was investigated to enable longitudinal monitoring of three-dimensional blood flow changes in deep tissue. Specific to this study, longitudinal blood flow changes were utilized to predict healing outcomes of common interventions for massive bone defects using a common mouse femoral defect model. Weekly blood flow changes were non-invasively measured using a diffuse correlation tomography system for 9 weeks in three types of grafts: autografts (N = 7), allografts (N = 6) and tissue-engineered allografts (N = 6). Healing outcomes were quantified using an established torsion testing method 9 weeks after transplantation. Analysis of the spatial and temporal blood flow reveals that major differences among the three groups were captured in weeks 1-5 after graft transplantation. A multivariate model to predict maximum torque by relative blood flow changes over 5 weeks after graft transplantation was built using partial least squares regression. The results reveal lower bone strength correlates with greater cumulative blood flow over an extended period of time (i.e., 1-5 weeks). The current research demonstrates that DCT-measured blood flow changes after graft transplantation can be utilized to predict long-term healing outcomes in a mouse femoral graft model.
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Affiliation(s)
- Songfeng Han
- Institute of Optics, University of Rochester, Rochester, NY, United States of America
| | - Ashley R. Proctor
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, United States of America
| | - Jingxuan Ren
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, United States of America
| | - Danielle S. W. Benoit
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, United States of America
- Department of Orthopaedics and Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, United States of America
- Department of Chemical Engineering, University of Rochester, Rochester, NY, United States of America
- Department of Biomedical Genetics, University of Rochester Medical Center, Rochester, NY, United States of America
| | - Regine Choe
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, United States of America
- Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, United States of America
- * E-mail:
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57
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Wang H, Ren L, Zhao Z, Wang J, Chen H. Fast localization method of an anomaly in tissue based on differential optical density. BIOMEDICAL OPTICS EXPRESS 2018; 9:2018-2026. [PMID: 29760966 PMCID: PMC5946767 DOI: 10.1364/boe.9.002018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Revised: 03/25/2018] [Accepted: 03/25/2018] [Indexed: 05/07/2023]
Abstract
The position of the source-detector (S-D) relative to an anomaly has an important influence on the detection effect in non-invasive near-infrared spectroscopy-based methods. In this study, a single-source multi-detector structure was designed in order to realize the rapid localization of anomalies within tissue. This method uses finite element analysis of the optical density distribution for different horizontal positions, depths and diameters of anomalies. The difference in optical density between the detectors was then calculated. The simulation results show that the horizontal position of the anomaly in the tissue can be quickly located according to the differential optical density difference curves formed by the multiple detectors. The Gaussian fitting feature of these curves shows strong correlation with the horizontal positions, depths and diameters of the anomaly. Through the differential optical density difference curves, rapid localization within the region of interest can be achieved. This method provides an important reference for sources and detectors location for tumor detection, brain function optical imaging and other fields using near infrared spectroscopy, and improves its detection accuracy.
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Affiliation(s)
- Huiquan Wang
- School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387, China
- Tianjin Photoelectric Detection Technology and Systems Key Laboratory, Tianjin 300387, China
| | - Lina Ren
- School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387, China
| | - Zhe Zhao
- School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387, China
- Tianjin Photoelectric Detection Technology and Systems Key Laboratory, Tianjin 300387, China
| | - Jinhai Wang
- School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387, China
- Tianjin Photoelectric Detection Technology and Systems Key Laboratory, Tianjin 300387, China
| | - Hongli Chen
- School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387, China
- Tianjin Photoelectric Detection Technology and Systems Key Laboratory, Tianjin 300387, China
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58
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Abstract
Functional near-infrared spectroscopy (fNIRS) is a noninvasive neuroimaging technique that uses low-levels of light (650-900 nm) to measure changes in cerebral blood volume and oxygenation. Over the last several decades, this technique has been utilized in a growing number of functional and resting-state brain studies. The lower operation cost, portability, and versatility of this method make it an alternative to methods such as functional magnetic resonance imaging for studies in pediatric and special populations and for studies without the confining limitations of a supine and motionless acquisition setup. However, the analysis of fNIRS data poses several challenges stemming from the unique physics of the technique, the unique statistical properties of data, and the growing diversity of non-traditional experimental designs being utilized in studies due to the flexibility of this technology. For these reasons, specific analysis methods for this technology must be developed. In this paper, we introduce the NIRS Brain AnalyzIR toolbox as an open-source Matlab-based analysis package for fNIRS data management, pre-processing, and first- and second-level (i.e., single subject and group-level) statistical analysis. Here, we describe the basic architectural format of this toolbox, which is based on the object-oriented programming paradigm. We also detail the algorithms for several of the major components of the toolbox including statistical analysis, probe registration, image reconstruction, and region-of-interest based statistics.
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Affiliation(s)
- Hendrik Santosa
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213-2536, USA
| | - Xuetong Zhai
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213-2536, USA
| | - Frank Fishburn
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213-2536, USA
| | - Theodore Huppert
- Departments of Radiology and Bioengineering, University of Pittsburgh, Clinical Science Translational Institute, and Center for the Neural Basis of Cognition, Pittsburgh, PA 15213-2536, USA
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59
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Pogue BW, Feng J, LaRochelle EP, Bruža P, Lin H, Zhang R, Shell JR, Dehghani H, Davis SC, Vinogradov SA, Gladstone DJ, Jarvis LA. Maps of in vivo oxygen pressure with submillimetre resolution and nanomolar sensitivity enabled by Cherenkov-excited luminescence scanned imaging. Nat Biomed Eng 2018; 2:254-264. [PMID: 30899599 PMCID: PMC6424530 DOI: 10.1038/s41551-018-0220-3] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Low signal-to-noise ratios and limited imaging depths restrict the ability of optical-imaging modalities to detect and accurately quantify molecular emissions from tissue. Here, by using a scanning external X-ray beam from a clinical linear accelerator to induce Cherenkov excitation of luminescence in tissue, we demonstrate in vivo mapping of the oxygenation of tumours at depths of several millimetres, with submillimetre resolution and nanomolar sensitivity. This was achieved by scanning thin sheets of the X-ray beam orthogonally to the emission-detection plane, and by detecting the signal via a time-gated CCD camera synchronized to the radiation pulse. We also show with experiments using phantoms and with simulations that the performance of Cherenkov-excited luminescence scanned imaging (CELSI) is limited by beam size, scan geometry, probe concentration, radiation dose and tissue depth. CELSI might provide the highest sensitivity and resolution in the optical imaging of molecular tracers in vivo.
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Affiliation(s)
- Brian W Pogue
- Thayer School of Engineering, Dartmouth College, Hanover, NH, USA. .,Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA.
| | - Jinchao Feng
- Faculty of Information Technology, Beijing University of Technology, Beijing, China
| | | | - Petr Bruža
- Thayer School of Engineering, Dartmouth College, Hanover, NH, USA
| | - Huiyun Lin
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Rongxiao Zhang
- Thayer School of Engineering, Dartmouth College, Hanover, NH, USA
| | - Jennifer R Shell
- Thayer School of Engineering, Dartmouth College, Hanover, NH, USA
| | - Hamid Dehghani
- School of Computer Science, University of Birmingham, Birmingham, UK
| | - Scott C Davis
- Thayer School of Engineering, Dartmouth College, Hanover, NH, USA.,Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA
| | - Sergei A Vinogradov
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David J Gladstone
- Thayer School of Engineering, Dartmouth College, Hanover, NH, USA.,Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA.,Department of Medicine, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
| | - Lesley A Jarvis
- Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA.,Department of Medicine, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
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Guo H, Yu J, Hu Z, Yi H, Hou Y, He X. A hybrid clustering algorithm for multiple-source resolving in bioluminescence tomography. JOURNAL OF BIOPHOTONICS 2018; 11:e201700056. [PMID: 28700135 DOI: 10.1002/jbio.201700056] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 06/20/2017] [Accepted: 06/21/2017] [Indexed: 05/23/2023]
Abstract
Bioluminescence tomography is a preclinical imaging modality to locate and quantify internal bioluminescent sources from surface measurements, which experienced rapid growth in the last 10 years. However, multiple-source resolving remains a challenging issue in BLT. In this study, it is treated as an unsupervised pattern recognition problem based on the reconstruction result, and a novel hybrid clustering algorithm combining the advantages of affinity propagation (AP) and K-means is developed to identify multiple sources automatically. Moreover, we incorporate the clustering analysis into a general multiple-source reconstruction framework, which can provide stable reconstruction and accurate resolving result without providing the number of targets. Numerical simulations and in vivo experiments on 4T1-luc2 mouse model were conducted to assess the performance of the proposed method in multiple-source resolving. The encouraging results demonstrate significant effectiveness and potential of our method in preclinical BLT applications.
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Affiliation(s)
- Hongbo Guo
- The School of Information Sciences and Technology, Northwest University, Xi'an, China
- Chinese Academy of Sciences, Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China
| | - Jingjing Yu
- The School of Physics and Information Technology, Shaanxi Normal University, Xi'an, China
| | - Zhenhua Hu
- Chinese Academy of Sciences, Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China
| | - Huangjian Yi
- The School of Information Sciences and Technology, Northwest University, Xi'an, China
| | - Yuqing Hou
- The School of Information Sciences and Technology, Northwest University, Xi'an, China
| | - Xiaowei He
- The School of Information Sciences and Technology, Northwest University, Xi'an, China
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61
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Jayet B, Morgan SP, Dehghani H. Incorporation of an ultrasound and model guided permissible region improves quantitative source recovery in bioluminescence tomography. BIOMEDICAL OPTICS EXPRESS 2018; 9. [PMID: 29541527 PMCID: PMC5846537 DOI: 10.1364/boe.9.001360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Bioluminescence imaging has shown great potential for studying and monitoring disease progression in small animal pre-clinical imaging. However, absolute bioluminescence source recovery through tomographic multi-wavelength measurements is often hindered through the lack of quantitative accuracy and suffers from both poor localisation and quantitative recovery. In this work a method to incorporate a permissible region strategy through not only a priori location (permissible region) but also based on a model of light propagation and hence light sensitivity is developed and tested using both simulations and experimental data. Reconstructions on two different numerical models (a simple slab, and the digital version of a heterogeneous mouse) show an improvement of localisation and recovery of intensity (around 25% for the slab model and around 10% for the digital mouse model). This strategy is also used with experimental data from a phantom gel, which demonstrated an improved recovered tomographic image.
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Affiliation(s)
- Baptiste Jayet
- Optics and Photonics Research Group, Faculty of Engineering, University of Nottingham, University Park, Nottingham, NG7 2RD,
UK
| | - Stephen P. Morgan
- Optics and Photonics Research Group, Faculty of Engineering, University of Nottingham, University Park, Nottingham, NG7 2RD,
UK
| | - Hamid Dehghani
- School of Computer Science, University of Birmingham, Edgbaston, Birmingham, B15 2TT,
UK
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Development and Validation of a Sensor Prototype for Near-Infrared Imaging of the Newborn Brain. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2018. [PMID: 28685441 DOI: 10.1007/978-3-319-55231-6_22] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register]
Abstract
Imaging brain oxygenation is crucial for preventing brain lesions in preterm infants. Our aim is to build and validate a near-infrared optical tomography (NIROT) sensor for the head of neonates. This sensor, combined with an optoacoustic device, will enable quantitative monitoring of the structural and functional information of the brain. Since the head of preterm infants is small and fragile great care must be taken to produce a comfortable and compact device in which a sufficient number of light sources and detectors can be implemented. Here we demonstrate our first prototype. Heterogeneous silicone phantoms were produced to validate the prototype's data acquisition, data processing, and image reconstruction. Reconstructed optical properties agree well with the target values. The mechanical performance of the new NIROT sensor prototype confirms its suitability for the clinical application.
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Wojtkiewicz S, Durduran T, Dehghani H. Time-resolved near infrared light propagation using frequency domain superposition. BIOMEDICAL OPTICS EXPRESS 2018; 9:41-54. [PMID: 29359086 PMCID: PMC5772588 DOI: 10.1364/boe.9.000041] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Revised: 11/15/2017] [Accepted: 11/24/2017] [Indexed: 05/02/2023]
Abstract
Time-resolved temporal point spread function (TPSF) measurement of near infrared spectroscopic (NIRS) data allows the estimation of absorption and reduced scattering properties of biological tissues. Such analysis requires an iterative calculation of the theoretical TPSF curve using mathematical and computational models of the domain being imaged which are computationally complex and expensive. In this work, an efficient methodology for representing the TPSF data using a superposition of cosines calculated in frequency domain is presented. The proposed method is outlined and tested on finite element realistic models of the human neck and head. Using an adult head model containing ~140k nodes, the TPSF calculation at each node for one source is accelerated from 3.11 s to 1.29 s within an error limit of ± 5% related to the time domain calculation method.
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Affiliation(s)
- Stanislaw Wojtkiewicz
- School of Computer Science, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Turgut Durduran
- ICFO - Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Castelldefels (Barcelona), Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Hamid Dehghani
- School of Computer Science, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
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Doulgerakis M, Eggebrecht AT, Wojtkiewicz S, Culver JP, Dehghani H. Toward real-time diffuse optical tomography: accelerating light propagation modeling employing parallel computing on GPU and CPU. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:1-11. [PMID: 29197176 PMCID: PMC5709934 DOI: 10.1117/1.jbo.22.12.125001] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Accepted: 11/06/2017] [Indexed: 05/18/2023]
Abstract
Parameter recovery in diffuse optical tomography is a computationally expensive algorithm, especially when used for large and complex volumes, as in the case of human brain functional imaging. The modeling of light propagation, also known as the forward problem, is the computational bottleneck of the recovery algorithm, whereby the lack of a real-time solution is impeding practical and clinical applications. The objective of this work is the acceleration of the forward model, within a diffusion approximation-based finite-element modeling framework, employing parallelization to expedite the calculation of light propagation in realistic adult head models. The proposed methodology is applicable for modeling both continuous wave and frequency-domain systems with the results demonstrating a 10-fold speed increase when GPU architectures are available, while maintaining high accuracy. It is shown that, for a very high-resolution finite-element model of the adult human head with ∼600,000 nodes, consisting of heterogeneous layers, light propagation can be calculated at ∼0.25 s/excitation source.
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Affiliation(s)
- Matthaios Doulgerakis
- University of Birmingham, School of Computer Science, Birmingham, United Kingdom
- Address all correspondence to: Matthaios Doulgerakis, E-mail:
| | - Adam T. Eggebrecht
- Washington University School of Medicine, Department of Radiology, St. Louis, Missouri, United States
| | | | - Joseph P. Culver
- Washington University School of Medicine, Department of Radiology, St. Louis, Missouri, United States
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, Missouri, United States
- Washington University School of Medicine, Division of Biology and Biomedical Sciences, St. Louis, Missouri, United States
| | - Hamid Dehghani
- University of Birmingham, School of Computer Science, Birmingham, United Kingdom
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Jang H, Lim G, Hong KS, Cho J, Gulsen G, Kim CS. Effect of Shot Noise on Simultaneous Sensing in Frequency Division Multiplexed Diffuse Optical Tomographic Imaging Process. SENSORS (BASEL, SWITZERLAND) 2017; 17:s17122752. [PMID: 29182570 PMCID: PMC5751693 DOI: 10.3390/s17122752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2017] [Revised: 11/17/2017] [Accepted: 11/23/2017] [Indexed: 06/07/2023]
Abstract
Diffuse optical tomography (DOT) has been studied for use in the detection of breast cancer, cerebral oxygenation, and cognitive brain signals. As optical imaging studies have increased significantly, acquiring imaging data in real time has become increasingly important. We have developed frequency-division multiplexing (FDM) DOT systems to analyze their performance with respect to acquisition time and imaging quality, in comparison with the conventional time-division multiplexing (TDM) DOT. A large tomographic area of a cylindrical phantom 60 mm in diameter could be successfully reconstructed using both TDM DOT and FDM DOT systems. In our experiment with 6 source-detector (S-D) pairs, the TDM DOT and FDM DOT systems required 6.18 and 1 s, respectively, to obtain a single tomographic data set. While the absorption coefficient of the reconstruction image was underestimated in the case of the FDM DOT, we experimentally confirmed that the abnormal region can be clearly distinguished from the background phantom using both methods.
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Affiliation(s)
- Hansol Jang
- Department of Cogno-Mechatronics Engineering, Pusan National University, Busan 46241, Korea.
| | - Gukbin Lim
- Department of Cogno-Mechatronics Engineering, Pusan National University, Busan 46241, Korea.
| | - Keum-Shik Hong
- Department of Cogno-Mechatronics Engineering, Pusan National University, Busan 46241, Korea.
| | - Jaedu Cho
- Tu & Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, CA 92697, USA.
| | - Gultekin Gulsen
- Tu & Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, CA 92697, USA.
| | - Chang-Seok Kim
- Department of Cogno-Mechatronics Engineering, Pusan National University, Busan 46241, Korea.
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McClatchy DM, Rizzo EJ, Meganck J, Kempner J, Vicory J, Wells WA, Paulsen KD, Pogue BW. Calibration and analysis of a multimodal micro-CT and structured light imaging system for the evaluation of excised breast tissue. Phys Med Biol 2017; 62:8983-9000. [PMID: 29048330 PMCID: PMC5729028 DOI: 10.1088/1361-6560/aa94b6] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
A multimodal micro-computed tomography (CT) and multi-spectral structured light imaging (SLI) system is introduced and systematically analyzed to test its feasibility to aid in margin delineation during breast conserving surgery (BCS). Phantom analysis of the micro-CT yielded a signal-to-noise ratio of 34, a contrast of 1.64, and a minimum detectable resolution of 240 μm for a 1.2 min scan. The SLI system, spanning wavelengths 490 nm to 800 nm and spatial frequencies up to 1.37 [Formula: see text], was evaluated with aqueous tissue simulating phantoms having variations in particle size distribution, scatter density, and blood volume fraction. The reduced scattering coefficient, [Formula: see text] and phase function parameter, γ, were accurately recovered over all wavelengths independent of blood volume fractions from 0% to 4%, assuming a flat sample geometry perpendicular to the imaging plane. The resolution of the optical system was tested with a step phantom, from which the modulation transfer function was calculated yielding a maximum resolution of 3.78 cycles per mm. The three dimensional spatial co-registration between the CT and optical imaging space was tested and shown to be accurate within 0.7 mm. A freshly resected breast specimen, with lobular carcinoma, fibrocystic disease, and adipose, was imaged with the system. The micro-CT provided visualization of the tumor mass and its spiculations, and SLI yielded superficial quantification of light scattering parameters for the malignant and benign tissue types. These results appear to be the first demonstration of SLI combined with standard medical tomography for imaging excised tumor specimens. While further investigations are needed to determine and test the spectral, spatial, and CT features required to classify tissue, this study demonstrates the ability of multimodal CT/SLI to quantify, visualize, and spatially navigate breast tumor specimens, which could potentially aid in the assessment of tumor margin status during BCS.
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Affiliation(s)
- David M McClatchy
- Thayer School of Engineering, Dartmouth College, 14 Engineering Dr., Hanover, NH 03755, United States of America
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de Souza ALR, Marra K, Gunn J, Samkoe KS, Hoopes PJ, Feldwisch J, Paulsen KD, Pogue BW. Fluorescent Affibody Molecule Administered In Vivo at a Microdose Level Labels EGFR Expressing Glioma Tumor Regions. Mol Imaging Biol 2017; 19:41-48. [PMID: 27379987 PMCID: PMC5209393 DOI: 10.1007/s11307-016-0980-7] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Purpose Fluorescence guidance in surgical oncology provides the potential to realize enhanced molecular tumor contrast with dedicated targeted tracers, potentially with a microdose injection level. For most glioma tumors, the blood brain barrier is compromised allowing some exogenous drug/molecule delivery and accumulation for imaging. The aberrant overexpression and/or activation of epidermal growth factor receptor (EGFR) is associated with many types of cancers, including glioblastoma, and so the use of a near-infrared (NIR) fluorescent molecule targeted to the EGFR receptor provides the potential for improving tumor contrast during surgery. Fluorescently labeled affibody molecule (ABY-029) has high EGFR affinity and high potential specificity with reasonably fast plasma clearance. In this study, ABY-29 was evaluated in glioma versus normal brain uptake from intravenous injection at a range of doses, down to a microdose injection level. Procedure Nude rats were inoculated with the U251 human glioma cell line in the brain. Tumors were allowed to grow for 3–4 weeks. ABY-029 fluorescence ex vivo imaging of brain slices was acquired at different time points (1–48 h) and varying injection doses from 25 to 122 μg/kg (from human protein microdose equivalent to five times microdose levels). Results The tumor was most clearly visualized at 1-h post-injection with 8- to 16-fold average contrast relative to normal brain. However, the tumor still could be identified after 48 h. In all cases, the ABY-029 fluorescence appeared to localize preferentially in EGFR-positive regions. Increasing the injected dose from a microdose level to five times, a microdose level increased the signal by 10-fold, and the contrast was from 8 to 16, showing that there was value in doses slightly higher than the microdose restriction. Normal tissue uptake was found to be affected by the tumor size, indicating that edema was a likely factor affecting the expected tumor to normal tissue contrast. Conclusion These results suggest that the NIR-labeled affibody molecules provide an excellent potential to increase surgical visualization of EGFR-positive tumor regions.
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Affiliation(s)
- Ana Luiza Ribeiro de Souza
- Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA.,CAPES Foundation, Ministry of Education of Brazil, Brasilia, DF, 70040-020, Brazil
| | - Kayla Marra
- Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA
| | - Jason Gunn
- Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA
| | - Kimberley S Samkoe
- Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA.,Department of Surgery, Geisel School of Medicine, Dartmouth College, Lebanon, NH, 03756, USA
| | - P Jack Hoopes
- Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA.,Department of Surgery, Geisel School of Medicine, Dartmouth College, Lebanon, NH, 03756, USA
| | | | - Keith D Paulsen
- Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA.,Department of Surgery, Geisel School of Medicine, Dartmouth College, Lebanon, NH, 03756, USA
| | - Brian W Pogue
- Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA. .,Department of Surgery, Geisel School of Medicine, Dartmouth College, Lebanon, NH, 03756, USA.
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Shang Y, Li T, Yu G. Clinical applications of near-infrared diffuse correlation spectroscopy and tomography for tissue blood flow monitoring and imaging. Physiol Meas 2017; 38:R1-R26. [PMID: 28199219 PMCID: PMC5726862 DOI: 10.1088/1361-6579/aa60b7] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Blood flow is one such available observable promoting a wealth of physiological insight both individually and in combination with other metrics. APPROACH Near-infrared diffuse correlation spectroscopy (DCS) and, to a lesser extent, diffuse correlation tomography (DCT), have increasingly received interest over the past decade as noninvasive methods for tissue blood flow measurements and imaging. DCS/DCT offers several attractive features for tissue blood flow measurements/imaging such as noninvasiveness, portability, high temporal resolution, and relatively large penetration depth (up to several centimeters). MAIN RESULTS This review first introduces the basic principle and instrumentation of DCS/DCT, followed by presenting clinical application examples of DCS/DCT for the diagnosis and therapeutic monitoring of diseases in a variety of organs/tissues including brain, skeletal muscle, and tumor. SIGNIFICANCE Clinical study results demonstrate technical versatility of DCS/DCT in providing important information for disease diagnosis and intervention monitoring.
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Affiliation(s)
- Yu Shang
- Key Laboratory of Instrumentation Science & Dynamic Measurement, North University of China, No.3 Xueyuan Road, Taiyuan, Shanxi 030051, China
| | - Ting Li
- State Key Lab Elect Thin Film & Integrated Device, University of Electronic Science & Technology of China, Chengdu, Sichuan 610054, China
| | - Guoqiang Yu
- Department of Biomedical Engineering, University of Kentucky, 514C RMB, 143 Graham Avenue, Lexington, KY 40506-0108, USA
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What are the true volumes of SEGA tumors? Reliability of planimetric and popular semi-automated image segmentation methods. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2017; 30:397-405. [PMID: 28321524 DOI: 10.1007/s10334-017-0614-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 02/27/2017] [Accepted: 03/06/2017] [Indexed: 10/19/2022]
Abstract
OBJECTIVE To evaluate the reliability of the standard planimetric methodology of volumetric analysis and three different open-source semi-automated approaches of brain tumor segmentation. MATERIALS AND METHODS The volumes of subependymal giant cell astrocytomas (SEGA) examined by 30 MRI studies of 10 patients from a previous everolimus-related trial (EMINENTS study) were estimated using four methods: planimetric method (modified MacDonald ellipsoid method), ITK-Snap (pixel clustering, geodesic active contours, region competition methods), 3D Slicer (level-set thresholding), and NIRFast (k-means clustering, Markov random fields). The methods were compared, and a trial simulation was performed to determine how the choice of approach could influence the final decision about progression or response. RESULTS Intraclass correlation coefficient was high (0.95; 95% CI 0.91-0.98). The planimetric method always overestimated the size of the tumor, while virtually no mean difference was found between ITK-Snap and 3D Slicer (P = 0.99). NIRFast underestimated the volume and presented a proportional bias. During the trial simulation, a moderate level of agreement between all the methods (kappa 0.57-0.71, P < 0.002) was noted. CONCLUSION Semi-automated segmentation can ease oncological follow-up but the moderate level of agreement between segmentation methods suggests that the reference standard volumetric method for SEGA tumors should be revised and chosen carefully, as the selection of volumetry tool may influence the conclusion about tumor progression or response.
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Yu J, Zhang B, Iordachita II, Reyes J, Lu Z, Brock MV, Patterson MS, Wong JW, Wang KKH. Systematic study of target localization for bioluminescence tomography guided radiation therapy. Med Phys 2017; 43:2619. [PMID: 27147371 DOI: 10.1118/1.4947481] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
PURPOSE To overcome the limitation of CT/cone-beam CT (CBCT) in guiding radiation for soft tissue targets, the authors developed a spectrally resolved bioluminescence tomography (BLT) system for the small animal radiation research platform. The authors systematically assessed the performance of the BLT system in terms of target localization and the ability to resolve two neighboring sources in simulations, tissue-mimicking phantom, and in vivo environments. METHODS Multispectral measurements acquired in a single projection were used for the BLT reconstruction. The incomplete variables truncated conjugate gradient algorithm with an iterative permissible region shrinking strategy was employed as the optimization scheme to reconstruct source distributions. Simulation studies were conducted for single spherical sources with sizes from 0.5 to 3 mm radius at depth of 3-12 mm. The same configuration was also applied for the double source simulation with source separations varying from 3 to 9 mm. Experiments were performed in a standalone BLT/CBCT system. Two self-illuminated sources with 3 and 4.7 mm separations placed inside a tissue-mimicking phantom were chosen as the test cases. Live mice implanted with single-source at 6 and 9 mm depth, two sources at 3 and 5 mm separation at depth of 5 mm, or three sources in the abdomen were also used to illustrate the localization capability of the BLT system for multiple targets in vivo. RESULTS For simulation study, approximate 1 mm accuracy can be achieved at localizing center of mass (CoM) for single-source and grouped CoM for double source cases. For the case of 1.5 mm radius source, a common tumor size used in preclinical study, their simulation shows that for all the source separations considered, except for the 3 mm separation at 9 and 12 mm depth, the two neighboring sources can be resolved at depths from 3 to 12 mm. Phantom experiments illustrated that 2D bioluminescence imaging failed to distinguish two sources, but BLT can provide 3D source localization with approximately 1 mm accuracy. The in vivo results are encouraging that 1 and 1.7 mm accuracy can be attained for the single-source case at 6 and 9 mm depth, respectively. For the 2 sources in vivo study, both sources can be distinguished at 3 and 5 mm separations, and approximately 1 mm localization accuracy can also be achieved. CONCLUSIONS This study demonstrated that their multispectral BLT/CBCT system could be potentially applied to localize and resolve multiple sources at wide range of source sizes, depths, and separations. The average accuracy of localizing CoM for single-source and grouped CoM for double sources is approximately 1 mm except deep-seated target. The information provided in this study can be instructive to devise treatment margins for BLT-guided irradiation. These results also suggest that the 3D BLT system could guide radiation for the situation with multiple targets, such as metastatic tumor models.
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Affiliation(s)
- Jingjing Yu
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland 21231 and School of Physics and Information Technology, Shaanxi Normal University, Shaanxi 710119, China
| | - Bin Zhang
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland 21231
| | - Iulian I Iordachita
- Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, Maryland 21218
| | - Juvenal Reyes
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland 21231
| | - Zhihao Lu
- Department of Oncology and Department of Surgery, Johns Hopkins University, Baltimore, Maryland 21231 and Key laboratory of Carcinogenesis and Translational Research, Department of GI Oncology, Peking University, Beijing Cancer Hospital and Institute, Beijing 100142, China
| | - Malcolm V Brock
- Department of Oncology and Department of Surgery, Johns Hopkins University, Baltimore, Maryland 21231
| | - Michael S Patterson
- Department of Medical Physics and Applied Radiation Sciences, McMaster University, Hamilton, Ontario L8S 4L8, Canada
| | - John W Wong
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland 21231
| | - Ken Kang-Hsin Wang
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland 21231
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Althobaiti M, Vavadi H, Zhu Q. Diffuse optical tomography reconstruction method using ultrasound images as prior for regularization matrix. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:26002. [PMID: 28152129 PMCID: PMC5299136 DOI: 10.1117/1.jbo.22.2.026002] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Accepted: 01/12/2017] [Indexed: 05/05/2023]
Abstract
Ultrasound-guided diffuse optical tomography (DOT) is a promising imaging technique that maps hemoglobin concentrations of breast lesions to assist ultrasound (US) for cancer diagnosis and treatment monitoring. The accurate recovery of breast lesion optical properties requires an effective image reconstruction method. We introduce a reconstruction approach in which US images are encoded as prior information for regularization of the inversion matrix. The framework of this approach is based on image reconstruction package “NIRFAST.” We compare this approach to the US-guided dual-zone mesh reconstruction method, which is based on Born approximation and conjugate gradient optimization developed in our laboratory. Results were evaluated using phantoms and clinical data. This method improves classification of malignant and benign lesions by increasing malignant to benign lesion absorption contrast. The results also show improvements in reconstructed lesion shapes and the spatial distribution of absorption maps.
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Affiliation(s)
- Murad Althobaiti
- University of Connecticut, Department of Biomedical Engineering, Storrs, Connecticut, United States
| | - Hamed Vavadi
- University of Connecticut, Department of Biomedical Engineering, Storrs, Connecticut, United States
| | - Quing Zhu
- Washington University in St. Louis, Department of Biomedical Engineering, Missouri, United States
- Address all correspondence to: Quing Zhu, E-mail:
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Jermyn M, Desroches J, Mercier J, St-Arnaud K, Guiot MC, Leblond F, Petrecca K. Raman spectroscopy detects distant invasive brain cancer cells centimeters beyond MRI capability in humans. BIOMEDICAL OPTICS EXPRESS 2016; 7:5129-5137. [PMID: 28018730 PMCID: PMC5175557 DOI: 10.1364/boe.7.005129] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Revised: 10/26/2016] [Accepted: 11/04/2016] [Indexed: 05/03/2023]
Abstract
Surgical treatment of brain cancer is limited by the inability of current imaging capabilities such as magnetic resonance imaging (MRI) to detect the entirety of this locally invasive cancer. This results in residual cancer cells remaining following surgery, leading to recurrence and death. We demonstrate that intraoperative Raman spectroscopy can detect invasive cancer cells centimeters beyond pathological T1-contrast-enhanced and T2-weighted MRI signals. This intraoperative optical guide can be used to detect invasive cancer cells and minimize post-surgical cancer burden. The detection of distant invasive cancer cells beyond MRI signal has the potential to increase the effectiveness of surgery and directly lengthen patient survival.
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Affiliation(s)
- Michael Jermyn
- Thayer School of Engineering, Dartmouth College, 14 Engineering Dr., Hanover, NH 03755, USA; Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, 3801 University St., Montreal, QC, H3A 2B4, Canada; Dept. of Engineering Physics, Polytechnique Montreal, CP 6079, Succ. Centre-Ville, Montreal, QC, H3C 3A7, Canada
| | - Joannie Desroches
- Dept. of Engineering Physics, Polytechnique Montreal, CP 6079, Succ. Centre-Ville, Montreal, QC, H3C 3A7, Canada
| | - Jeanne Mercier
- Dept. of Engineering Physics, Polytechnique Montreal, CP 6079, Succ. Centre-Ville, Montreal, QC, H3C 3A7, Canada
| | - Karl St-Arnaud
- Dept. of Engineering Physics, Polytechnique Montreal, CP 6079, Succ. Centre-Ville, Montreal, QC, H3C 3A7, Canada
| | - Marie-Christine Guiot
- Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, 3801 University St., Montreal, QC, H3A 2B4, Canada; Division of Neuropathology, Department of Pathology, McGill University, 3801 University St., Montreal, QC, H3A 2B4, Canada
| | - Frederic Leblond
- Dept. of Engineering Physics, Polytechnique Montreal, CP 6079, Succ. Centre-Ville, Montreal, QC, H3C 3A7, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal, 900 rue Saint-Denis, H2X 0A9, QC, Canada; These authors contributed equally to this work;
| | - Kevin Petrecca
- Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, 3801 University St., Montreal, QC, H3A 2B4, Canada; These authors contributed equally to this work;
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Li M, Miller K, Joldes GR, Kikinis R, Wittek A. Biomechanical model for computing deformations for whole-body image registration: A meshless approach. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING 2016; 32:10.1002/cnm.2771. [PMID: 26791945 PMCID: PMC4956599 DOI: 10.1002/cnm.2771] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Revised: 12/06/2015] [Accepted: 01/17/2016] [Indexed: 06/05/2023]
Abstract
Patient-specific biomechanical models have been advocated as a tool for predicting deformations of soft body organs/tissue for medical image registration (aligning two sets of images) when differences between the images are large. However, complex and irregular geometry of the body organs makes generation of patient-specific biomechanical models very time-consuming. Meshless discretisation has been proposed to solve this challenge. However, applications so far have been limited to 2D models and computing single organ deformations. In this study, 3D comprehensive patient-specific nonlinear biomechanical models implemented using meshless Total Lagrangian explicit dynamics algorithms are applied to predict a 3D deformation field for whole-body image registration. Unlike a conventional approach that requires dividing (segmenting) the image into non-overlapping constituents representing different organs/tissues, the mechanical properties are assigned using the fuzzy c-means algorithm without the image segmentation. Verification indicates that the deformations predicted using the proposed meshless approach are for practical purposes the same as those obtained using the previously validated finite element models. To quantitatively evaluate the accuracy of the predicted deformations, we determined the spatial misalignment between the registered (i.e. source images warped using the predicted deformations) and target images by computing the edge-based Hausdorff distance. The Hausdorff distance-based evaluation determines that our meshless models led to successful registration of the vast majority of the image features. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Mao Li
- Intelligent Systems for Medicine Laboratory, School of Mechanical and Chemical Engineering, The University of Western Australia, Perth, Australia
| | - Karol Miller
- Intelligent Systems for Medicine Laboratory, School of Mechanical and Chemical Engineering, The University of Western Australia, Perth, Australia
- Institute of Mechanics and Advanced Materials, Cardiff School of Engineering, Cardiff University, Wales, UK
| | - Grand Roman Joldes
- Intelligent Systems for Medicine Laboratory, School of Mechanical and Chemical Engineering, The University of Western Australia, Perth, Australia
| | - Ron Kikinis
- Surgical Planning Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Fraunhofer Institute for Medical Image Computing MEVIS and the University of Bremen, Bremen, Germany
| | - Adam Wittek
- Intelligent Systems for Medicine Laboratory, School of Mechanical and Chemical Engineering, The University of Western Australia, Perth, Australia
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Zhang B, Wong JW, Iordachita II, Reyes J, Nugent K, Tran PT, Tuttle SW, Koumenis C, Wang KKH. Evaluation of On- and Off-Line Bioluminescence Tomography System for Focal Irradiation Guidance. Radiat Res 2016; 186:592-601. [PMID: 27869556 DOI: 10.1667/rr14423.1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
In response to the limitations of computed tomography (CT) and cone-beam CT (CBCT) in irradiation guidance, especially for soft-tissue targets without the use of contrast agents, our group developed a solution that implemented bioluminescence tomography (BLT) as the image-guidance modality for preclinical radiation research. However, adding such a system to existing small animal irradiators is no small task. A potential solution is to utilize an off-line BLT system in close proximity to the irradiator, with stable and effective animal transport between the two systems. In this study, we investigated the localization accuracy of an off-line BLT system when used for the small animal radiation research platform (SARRP) and compared the results with those of an on-line system. The CBCT was equipped on both the off-line BLT system and the SARRP, with a distance of 5 m between them. To evaluate the setup error during animal transport between the two systems, the mice underwent CBCT imaging on the SARRP and were then transported to the off-line system for a second CBCT imaging session. The normalized intensity difference of the two images and the corresponding histogram and correlation were computed to evaluate if the transport process perturbed animal positioning. Strong correlation (correlation coefficients >0.95) between the SARRP and the off-line mouse CBCT was observed. The offset of the implanted light source center can be maintained within 0.2 mm during transport. To compare the target localization accuracy using the on-line SARRP BLT and the off-line system, a self-illuminated bioluminescent source was implanted in the abdomen of anesthetized mice. In addition to the application for dose calculation, CBCT imaging was also employed to generate the mesh grid of the imaged mouse for BLT reconstruction. Two scenarios were devised and compared, which involved localization of the luminescence source based on either: 1. on-line SARRP bioluminescence image and CBCT; or 2. off-line bioluminescence image and SARRP CBCT. The first scenario is assumed to have the least setup error, because no animal transport was involved. The second scenario examines if an off-line BLT system, with the mesh generated from the SARRP CBCT, can be used to guide SARRP irradiation when there is minimal target contrast in CBCT. Stability during animal transport between the two systems was maintained. The center of mass (CoM) of the light source reconstructed by the off-line BLT had an offset of 1.0 ± 0.4 mm from the true CoM derived from the SARRP CBCT. These results are comparable to the offset of 1.0 ± 0.2 mm using on-line BLT. With CBCT information provided by the SARRP and effective animal immobilization during transport, these findings support the utilization of an off-line BLT-guided system, in close proximity to the SARRP, for accurate soft-tissue target localization. In addition, a dedicated standalone BLT system for our partner site at the University of Pennsylvania was introduced in this study.
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Affiliation(s)
- Bin Zhang
- a Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland
| | - John W Wong
- a Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland
| | - Iulian I Iordachita
- b Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, Maryland
| | - Juvenal Reyes
- a Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland
| | - Katriana Nugent
- a Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland
| | - Phuoc T Tran
- a Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland.,c Departments of Oncology and Urology, Johns Hopkins University, Baltimore, Maryland
| | - Stephen W Tuttle
- d Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Constantinos Koumenis
- d Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Ken Kang-Hsin Wang
- a Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland
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75
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Wu HY, Filer A, Styles I, Dehghani H. Development of a multi-wavelength diffuse optical tomography system for early diagnosis of rheumatoid arthritis: simulation, phantoms and healthy human studies. BIOMEDICAL OPTICS EXPRESS 2016; 7:4769-4786. [PMID: 27896015 PMCID: PMC5119615 DOI: 10.1364/boe.7.004769] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Revised: 06/30/2016] [Accepted: 07/22/2016] [Indexed: 05/21/2023]
Abstract
A multi-wavelength diffuse optical tomography (DOT) system has been developed to directly extract physiological information, such as total haemoglobin concentration, from tissue in human hand joints. Novel methods for 3D surface imaging and spectrally constrained image reconstruction are introduced and their potential application to imaging of rheumatoid arthritis is discussed. Results are presented from simulation studies as well as experiments using phantoms and data from imaging of three healthy volunteers. The image features are recovered partially for phantom data using transmission measurements only. Images that reveal joint regions and surrounding features within the hand are shown to co-register with co-acquired ultrasound images which are shown to be related to total haemoglobin concentration.
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Affiliation(s)
- Hao Yang Wu
- The Centre for Physical Sciences of Imaging in Biomedical Sciences (PSIBS), University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Andrew Filer
- The Rheumatology Research Group, School of Immunity and Infection, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Iain Styles
- The Centre for Physical Sciences of Imaging in Biomedical Sciences (PSIBS), University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- School of Computer Science, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Hamid Dehghani
- The Centre for Physical Sciences of Imaging in Biomedical Sciences (PSIBS), University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- School of Computer Science, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
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76
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Michaelsen KE, Krishnaswamy V, Shi L, Vedantham S, Karellas A, Pogue BW, Paulsen KD, Poplack SP. Effects of breast density and compression on normal breast tissue hemodynamics through breast tomosynthesis guided near-infrared spectral tomography. JOURNAL OF BIOMEDICAL OPTICS 2016; 21:91316. [PMID: 27677170 PMCID: PMC5038925 DOI: 10.1117/1.jbo.21.9.091316] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2016] [Accepted: 08/30/2016] [Indexed: 06/06/2023]
Abstract
Optically derived tissue properties across a range of breast densities and the effects of breast compression on estimates of hemoglobin, oxygen metabolism, and water and lipid concentrations were obtained from a coregistered imaging system that integrates near-infrared spectral tomography (NIRST) with digital breast tomosynthesis (DBT). Image data were analyzed from 27 women who underwent four IRB approved NIRST/DBT exams that included fully and mildly compressed breast acquisitions in two projections—craniocaudal (CC) and mediolateral-oblique (MLO)—and generated four data sets per patient (full and moderate compression in CC and MLO views). Breast density was correlated with HbT (r=0.64, p=0.001), water (r=0.62, p=0.003), and lipid concentrations (r=?0.74, p<0.001), but not oxygen saturation. CC and MLO views were correlated for individual subjects and demonstrated no statistically significant differences in grouped analysis. Comparison of compressed and uncompressed imaging demonstrated a significant decrease in oxygen saturation under compression (58% versus 50%, p=0.04). Mammographic breast density categorization was correlated with measured optically derived properties.
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Affiliation(s)
- Kelly E. Michaelsen
- Dartmouth College, Thayer School of Engineering, 14 Engineering Drive, Hanover, New Hampshire 03755, United States
| | - Venkataramanan Krishnaswamy
- Dartmouth College, Thayer School of Engineering, 14 Engineering Drive, Hanover, New Hampshire 03755, United States
| | - Linxi Shi
- Georgia Institute of Technology, School of Mechanical Engineering, 801 Ferst Drive, Atlanta, Georgia 30332, United States
| | - Srinivasan Vedantham
- University of Massachusetts Medical School, Department of Radiology, 55 Lake Avenue North, Worcester, Massachusetts 01655, United States
| | - Andrew Karellas
- University of Massachusetts Medical School, Department of Radiology, 55 Lake Avenue North, Worcester, Massachusetts 01655, United States
| | - Brian W. Pogue
- Dartmouth College, Thayer School of Engineering, 14 Engineering Drive, Hanover, New Hampshire 03755, United States
| | - Keith D. Paulsen
- Dartmouth College, Thayer School of Engineering, 14 Engineering Drive, Hanover, New Hampshire 03755, United States
| | - Steven P. Poplack
- Washington University School of Medicine, Mallinckrodt Institute of Radiology, 4921 Parkview Place, St. Louis, Missouri 63110, United States
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77
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Guggenheim JA, Bargigia I, Farina A, Pifferi A, Dehghani H. Time resolved diffuse optical spectroscopy with geometrically accurate models for bulk parameter recovery. BIOMEDICAL OPTICS EXPRESS 2016; 7:3784-3794. [PMID: 27699137 PMCID: PMC5030049 DOI: 10.1364/boe.7.003784] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Revised: 08/12/2016] [Accepted: 08/22/2016] [Indexed: 05/04/2023]
Abstract
A novel straightforward, accessible and efficient approach is presented for performing hyperspectral time-domain diffuse optical spectroscopy to determine the optical properties of samples accurately using geometry specific models. To allow bulk parameter recovery from measured spectra, a set of libraries based on a numerical model of the domain being investigated is developed as opposed to the conventional approach of using an analytical semi-infinite slab approximation, which is known and shown to introduce boundary effects. Results demonstrate that the method improves the accuracy of derived spectrally varying optical properties over the use of the semi-infinite approximation.
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Affiliation(s)
- James A. Guggenheim
- PSIBS Doctoral Training Centre, University of Birmingham, Birmingham, UK
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Ilaria Bargigia
- Center for Nano-Science and Technology @POLIMI, Istituto Italiano di Tecnologia, Milano, Italy
| | - Andrea Farina
- Consiglio Nazionale delle Ricerche, Istituto di Fotonica e Nanotecnologie, Milano, Italy
| | - Antonio Pifferi
- Consiglio Nazionale delle Ricerche, Istituto di Fotonica e Nanotecnologie, Milano, Italy
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
| | - Hamid Dehghani
- PSIBS Doctoral Training Centre, University of Birmingham, Birmingham, UK
- School of Computer Science, University of Birmingham, Birmingham, UK
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78
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Han S, Proctor AR, Vella JB, Benoit DSW, Choe R. Non-invasive diffuse correlation tomography reveals spatial and temporal blood flow differences in murine bone grafting approaches. BIOMEDICAL OPTICS EXPRESS 2016; 7:3262-3279. [PMID: 27699097 PMCID: PMC5030009 DOI: 10.1364/boe.7.003262] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Revised: 07/30/2016] [Accepted: 07/31/2016] [Indexed: 05/16/2023]
Abstract
Longitudinal blood flow during murine bone graft healing was monitored non-invasively using diffuse correlation tomography. The system utilized spatially dense data from a scanning set-up, non-linear reconstruction, and micro-CT anatomical information. Weekly in vivo measurements were performed. Blood flow changes in autografts, which heal successfully, were localized to graft regions and consistent across mice. Poor healing allografts showed heterogeneous blood flow elevation and high inter-subject variabilities. Allografts with tissue-engineered periosteum showed responses intermediate to both autografts and allografts, consistent with healing observed. These findings suggest that spatiotemporal blood flow changes can be utilized to differentiate the degree of bone graft healing.
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Affiliation(s)
- Songfeng Han
- Institute of Optics, University of Rochester, Rochester, NY 14627, USA
| | - Ashley R. Proctor
- Department of Biomedical Engineering, University of Rochester, Rochester, NY 14627, USA
| | - Joseph B. Vella
- Department of Biomedical Engineering, University of Rochester, Rochester, NY 14627, USA
- Department of Orthopaedics and Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY 14642, USA
- Department of Otolaryngology-Head and Neck Surgery, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Danielle S. W. Benoit
- Department of Biomedical Engineering, University of Rochester, Rochester, NY 14627, USA
- Department of Orthopaedics and Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY 14642, USA
- Department of Chemical Engineering, University of Rochester, Rochester, NY 14627, USA
- Department of Biomedical Genetics, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Regine Choe
- Department of Biomedical Engineering, University of Rochester, Rochester, NY 14627, USA
- Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY 14627, USA
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79
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Clancy M, Belli A, Davies D, Lucas SJE, Su Z, Dehghani H. Improving the quantitative accuracy of cerebral oxygen saturation in monitoring the injured brain using atlas based Near Infrared Spectroscopy models. JOURNAL OF BIOPHOTONICS 2016; 9:812-826. [PMID: 27003677 DOI: 10.1002/jbio.201500302] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Revised: 02/18/2016] [Accepted: 02/18/2016] [Indexed: 06/05/2023]
Abstract
The application of Near Infrared Spectroscopy (NIRS) for the monitoring of the cerebral oxygen saturation within the brain is well established, albeit using temporal data that can only measure relative changes of oxygenation state of the brain from a baseline. The focus of this investigation is to demonstrate that hybridisation of existing near infrared probe designs and reconstruction techniques can pave the way to produce a system and methods that can be used to monitor the absolute oxygen saturation in the injured brain. Using registered Atlas models in simulation, a novel method is outlined by which the quantitative accuracy and practicality of NIRS for specific use in monitoring the injured brain, can be improved, with cerebral saturation being recovered to within 10.1 ± 1.8% of the expected values.
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Affiliation(s)
- Michael Clancy
- PSIBS Doctoral Training Centre, University of Birmingham, United Kingdom.
| | - Antonio Belli
- NIHR Surgical Reconstruction and Microbiology Research Centre, Queen Elizabeth Hospital Birmingham, United Kingdom
| | - David Davies
- NIHR Surgical Reconstruction and Microbiology Research Centre, Queen Elizabeth Hospital Birmingham, United Kingdom
| | - Samuel J E Lucas
- School of Sport, Exercise and Rehabilitation Science, University of Birmingham, United Kingdom
| | - Zhangjie Su
- NIHR Surgical Reconstruction and Microbiology Research Centre, Queen Elizabeth Hospital Birmingham, United Kingdom
| | - Hamid Dehghani
- School of Computer Science, University of Birmingham, United Kingdom
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80
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Yamashita O, Shimokawa T, Aisu R, Amita T, Inoue Y, Sato MA. Multi-subject and multi-task experimental validation of the hierarchical Bayesian diffuse optical tomography algorithm. Neuroimage 2016; 135:287-99. [DOI: 10.1016/j.neuroimage.2016.04.068] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2015] [Revised: 04/25/2016] [Accepted: 04/28/2016] [Indexed: 10/21/2022] Open
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81
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Brůža P, Lin H, Vinogradov SA, Jarvis LA, Gladstone DJ, Pogue BW. Light sheet luminescence imaging with Cherenkov excitation in thick scattering media. OPTICS LETTERS 2016; 41:2986-9. [PMID: 27367082 DOI: 10.1364/ol.41.002986] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Light scattering leads to a severe loss of axial and transverse resolution with depth into tissue, limiting accuracy and value of biomedical luminescence imaging techniques. High-resolution imaging beyond a few-millimeter depth is prohibited because diffusive transport dominates beyond a few scattering distances. In this study, light sheet imaging through scattering media is demonstrated using a radiotherapy linear accelerator to deliver well-defined thin scanned sheets of x-rays. These sheets produce Cherenkov light within the medium, which in turn excites luminescence of an optical probe across the sheet plane. This luminescence can then be imaged by an intensified camera positioned perpendicular to the sheet plane. The precise knowledge of the light sheet position within the medium allowed for efficient attenuation correction of the signal with depth as well as spatial deconvolution of the excitation light. Together these methods allowed for the first time, to the best of our knowledge, high-resolution imaging of tissue-equivalent phantoms up to 3 cm thick, yielding the precise position and shape of luminescent lesions located deep in tissue without the need for nonlinear image reconstruction.
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82
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Hejazi SM, Sarkar S, Darezereshki Z. Fast multislice fluorescence molecular tomography using sparsity-inducing regularization. JOURNAL OF BIOMEDICAL OPTICS 2016; 21:26012. [PMID: 26927222 DOI: 10.1117/1.jbo.21.2.026012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Accepted: 02/04/2016] [Indexed: 05/05/2023]
Abstract
Fluorescence molecular tomography (FMT) is a rapidly growing imaging method that facilitates the recovery of small fluorescent targets within biological tissue. The major challenge facing the FMT reconstruction method is the ill-posed nature of the inverse problem. In order to overcome this problem, the acquisition of large FMT datasets and the utilization of a fast FMT reconstruction algorithm with sparsity regularization have been suggested recently. Therefore, the use of a joint L1/total-variation (TV) regularization as a means of solving the ill-posed FMT inverse problem is proposed. A comparative quantified analysis of regularization methods based on L1-norm and TV are performed using simulated datasets, and the results show that the fast composite splitting algorithm regularization method can ensure the accuracy and robustness of the FMT reconstruction. The feasibility of the proposed method is evaluated in an in vivo scenario for the subcutaneous implantation of a fluorescent-dye-filled capillary tube in a mouse, and also using hybrid FMT and x-ray computed tomography data. The results show that the proposed regularization overcomes the difficulties created by the ill-posed inverse problem.
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Affiliation(s)
- Sedigheh Marjaneh Hejazi
- Tehran University of Medical Sciences, Medical Physics and Biomedical Engineering Department, School of Medicine, Tehran 1417613151, IranbTehran University of Medical Sciences, Research Center for Molecular and Cellular in Imaging, Bio-optical Imaging Gro
| | - Saeed Sarkar
- Tehran University of Medical Sciences, Medical Physics and Biomedical Engineering Department, School of Medicine, Tehran 1417613151, IrancTehran University of Medical Sciences, Research Center for Science and Technology in Medicine, Imam Khomeini Hospital
| | - Ziba Darezereshki
- Tehran University of Medical Sciences, Medical Physics and Biomedical Engineering Department, School of Medicine, Tehran 1417613151, Iran
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83
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Near-Infrared Image Reconstruction of Newborns’ Brains: Robustness to Perturbations of the Source/Detector Location. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2016; 876:377-382. [DOI: 10.1007/978-1-4939-3023-4_47] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/28/2023]
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84
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Zhang B, Wang KKH, Yu J, Eslami S, Iordachita I, Reyes J, Malek R, Tran PT, Patterson MS, Wong JW. Bioluminescence Tomography-Guided Radiation Therapy for Preclinical Research. Int J Radiat Oncol Biol Phys 2015; 94:1144-53. [PMID: 26876954 DOI: 10.1016/j.ijrobp.2015.11.039] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2015] [Revised: 10/26/2015] [Accepted: 11/29/2015] [Indexed: 11/28/2022]
Abstract
PURPOSE In preclinical radiation research, it is challenging to localize soft tissue targets based on cone beam computed tomography (CBCT) guidance. As a more effective method to localize soft tissue targets, we developed an online bioluminescence tomography (BLT) system for small-animal radiation research platform (SARRP). We demonstrated BLT-guided radiation therapy and validated targeting accuracy based on a newly developed reconstruction algorithm. METHODS AND MATERIALS The BLT system was designed to dock with the SARRP for image acquisition and to be detached before radiation delivery. A 3-mirror system was devised to reflect the bioluminescence emitted from the subject to a stationary charge-coupled device (CCD) camera. Multispectral BLT and the incomplete variables truncated conjugate gradient method with a permissible region shrinking strategy were used as the optimization scheme to reconstruct bioluminescent source distributions. To validate BLT targeting accuracy, a small cylindrical light source with high CBCT contrast was placed in a phantom and also in the abdomen of a mouse carcass. The center of mass (CoM) of the source was recovered from BLT and used to guide radiation delivery. The accuracy of the BLT-guided targeting was validated with films and compared with the CBCT-guided delivery. In vivo experiments were conducted to demonstrate BLT localization capability for various source geometries. RESULTS Online BLT was able to recover the CoM of the embedded light source with an average accuracy of 1 mm compared to that with CBCT localization. Differences between BLT- and CBCT-guided irradiation shown on the films were consistent with the source localization revealed in the BLT and CBCT images. In vivo results demonstrated that our BLT system could potentially be applied for multiple targets and tumors. CONCLUSIONS The online BLT/CBCT/SARRP system provides an effective solution for soft tissue targeting, particularly for small, nonpalpable, or orthotopic tumor models.
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Affiliation(s)
- Bin Zhang
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Ken Kang-Hsin Wang
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland.
| | - Jingjing Yu
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland; School of Physics and Information Technology, Shaanxi Normal University, Shaanxi, China
| | - Sohrab Eslami
- Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, Maryland
| | - Iulian Iordachita
- Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, Maryland
| | - Juvenal Reyes
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Reem Malek
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Phuoc T Tran
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland; Department of Oncology and Urology, Brady Urological Institute, Johns Hopkins University, Baltimore, Maryland
| | - Michael S Patterson
- Department of Medical Physics and Applied Radiation Sciences, McMaster University, Hamilton, Ontario, Canada
| | - John W Wong
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland
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85
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Michaelsen KE, Krishnaswamy V, Shi L, Vedantham S, Poplack SP, Karellas A, Pogue BW, Paulsen KD. Calibration and optimization of 3D digital breast tomosynthesis guided near infrared spectral tomography. BIOMEDICAL OPTICS EXPRESS 2015; 6:4981-91. [PMID: 26713210 PMCID: PMC4679270 DOI: 10.1364/boe.6.004981] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Revised: 10/30/2015] [Accepted: 11/01/2015] [Indexed: 05/18/2023]
Abstract
Calibration of a three-dimensional multimodal digital breast tomosynthesis (DBT) x-ray and non-fiber based near infrared spectral tomography (NIRST) system is challenging but essential for clinical studies. Phantom imaging results yielded linear contrast recovery of total hemoglobin (HbT) concentration for cylindrical inclusions of 15 mm, 10 mm and 7 mm with a 3.5% decrease in the HbT estimate for each 1 cm increase in inclusion depth. A clinical exam of a patient's breast containing both benign and malignant lesions was successfully imaged, with greater HbT was found in the malignancy relative to the benign abnormality and fibroglandular regions (11 μM vs. 9.5 μM). Tools developed improved imaging system characterization and optimization of signal quality, which will ultimately improve patient selection and subsequent clinical trial results.
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Affiliation(s)
| | | | - Linxi Shi
- Department of Radiology, University of Massachusetts Medical School, Worcester, MA 01655,
USA
- Currently at School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332,
USA
| | - Srinivasan Vedantham
- Department of Radiology, University of Massachusetts Medical School, Worcester, MA 01655,
USA
| | - Steven P. Poplack
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755,
USA
- Currently at Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110,
USA
| | - Andrew Karellas
- Department of Radiology, University of Massachusetts Medical School, Worcester, MA 01655,
USA
| | - Brian W. Pogue
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755,
USA
| | - Keith D. Paulsen
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755,
USA
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86
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Wu X, Eggebrecht AT, Ferradal SL, Culver JP, Dehghani H. Fast and efficient image reconstruction for high density diffuse optical imaging of the human brain. BIOMEDICAL OPTICS EXPRESS 2015; 6:4567-84. [PMID: 26601019 PMCID: PMC4646563 DOI: 10.1364/boe.6.004567] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Revised: 10/14/2015] [Accepted: 10/16/2015] [Indexed: 05/18/2023]
Abstract
Real-time imaging of human brain has become an important technique within neuroimaging. In this study, a fast and efficient sensitivity map generation based on Finite Element Models (FEM) is developed which utilises a reduced sensitivitys matrix taking advantage of sparsity and parallelisation processes. Time and memory efficiency of these processes are evaluated and compared with conventional method showing that for a range of mesh densities from 50000 to 320000 nodes, the required memory is reduced over tenfold and computational time fourfold allowing for near real-time image recovery.
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Affiliation(s)
- Xue Wu
- School of Computer Science, University of Birmingham, Birmingham, B15 2TT, UK
| | - Adam T. Eggebrecht
- Department of Radiology, Washington University School of Medicine, 4525 Scott Avenue, St. Louis, MO, 63110, USA
| | - Silvina L. Ferradal
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Joseph P. Culver
- Department of Radiology, Washington University School of Medicine, 4525 Scott Avenue, St. Louis, MO, 63110, USA
- Department of Biomedical Engineering, Washington University, One Brookings Drive, St. Louis, MO, 63130, USA
| | - Hamid Dehghani
- School of Computer Science, University of Birmingham, Birmingham, B15 2TT, UK
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87
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Huang C, Lin Y, He L, Irwin D, Szabunio MM, Yu G. Alignment of sources and detectors on breast surface for noncontact diffuse correlation tomography of breast tumors. APPLIED OPTICS 2015; 54:8808-16. [PMID: 26479823 PMCID: PMC4801123 DOI: 10.1364/ao.54.008808] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Noncontact diffuse correlation tomography (ncDCT) is an emerging technology for 3D imaging of deep tissue blood flow distribution without distorting hemodynamic properties. To adapt the ncDCT for imaging in vivo breast tumors, we designed a motorized ncDCT probe to scan over the breast surface. A computer-aided design (CAD)-based approach was proposed to create solid volume mesh from arbitrary breast surface obtained by a commercial 3D camera. The sources and detectors of ncDCT were aligned on the breast surface through ray tracing to mimic the ncDCT scanning with CAD software. The generated breast volume mesh along with the boundary data of ncDCT at the aligned source and detector pairs were used for finite-element-method-based flow image reconstruction. We evaluated the accuracy of source alignments on mannequin and human breasts; largest alignment errors were less than 10% in both tangential and radial directions of scanning. The impact of alignment errors (assigned 10%) on the tumor reconstruction was estimated using computer simulations. The deviations of simulated tumor location and blood flow contrast resulted from the alignment errors were 0.77 mm (less than the node distance of 1 mm) and 1%, respectively, which result in minor impact on flow image reconstruction. Finally, a case study on a human breast tumor was conducted and a tumor-to-normal flow contrast was reconstructed, demonstrating the feasibility of ncDCT in clinical application.
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Affiliation(s)
- Chong Huang
- Department of Biomedical Engineering, University of Kentucky, Lexington, Kentucky 40506, USA
| | - Yu Lin
- Department of Biomedical Engineering, University of Kentucky, Lexington, Kentucky 40506, USA
| | - Lian He
- Department of Biomedical Engineering, University of Kentucky, Lexington, Kentucky 40506, USA
| | - Daniel Irwin
- Department of Biomedical Engineering, University of Kentucky, Lexington, Kentucky 40506, USA
| | | | - Guoqiang Yu
- Department of Biomedical Engineering, University of Kentucky, Lexington, Kentucky 40506, USA
- Corresponding author:
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88
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Fantoni F, Hervé L, Poher V, Gioux S, Mars JI, Dinten JM. Laser line illumination scheme allowing the reduction of background signal and the correction of absorption heterogeneities effects for fluorescence reflectance imaging. JOURNAL OF BIOMEDICAL OPTICS 2015; 20:106003. [PMID: 26442963 DOI: 10.1117/1.jbo.20.10.106003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2015] [Accepted: 09/09/2015] [Indexed: 05/24/2023]
Abstract
Intraoperative fluorescence imaging in reflectance geometry is an attractive imaging modality as it allows to noninvasively monitor the fluorescence targeted tumors located below the tissue surface. Some drawbacks of this technique are the background fluorescence decreasing the contrast and absorption heterogeneities leading to misinterpretations concerning fluorescence concentrations. We propose a correction technique based on a laser line scanning illumination scheme. We scan the medium with the laser line and acquire, at each position of the line, both fluorescence and excitation images. We then use the finding that there is a relationship between the excitation intensity profile and the background fluorescence one to predict the amount of signal to subtract from the fluorescence images to get a better contrast. As the light absorption information is contained both in fluorescence and excitation images, this method also permits us to correct the effects of absorption heterogeneities. This technique has been validated on simulations and experimentally. Fluorescent inclusions are observed in several configurations at depths ranging from 1 mm to 1 cm. Results obtained with this technique are compared with those obtained with a classical wide-field detection scheme for contrast enhancement and with the fluorescence by an excitation ratio approach for absorption correction.
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Affiliation(s)
- Frédéric Fantoni
- University Grenoble Alpes, F-38000 Grenoble, France CEA, LETI, MINATEC Campus, 17 rue des Martyrs, Grenoble 38054, France
| | - Lionel Hervé
- University Grenoble Alpes, F-38000 Grenoble, France CEA, LETI, MINATEC Campus, 17 rue des Martyrs, Grenoble 38054, France
| | - Vincent Poher
- University Grenoble Alpes, F-38000 Grenoble, France CEA, LETI, MINATEC Campus, 17 rue des Martyrs, Grenoble 38054, France
| | - Sylvain Gioux
- Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, ES-200 Boston, Massachusetts 02215, United States
| | - Jérôme I Mars
- University Grenoble Alpes, France CNRS, Gipsa-Lab, 11 Rue des Mathématiques, Saint-Martin-d'Hères 38400, France
| | - Jean-Marc Dinten
- University Grenoble Alpes, F-38000 Grenoble, France CEA, LETI, MINATEC Campus, 17 rue des Martyrs, Grenoble 38054, France
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89
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Piao D, Barbour RL, Graber HL, Lee DC. On the geometry dependence of differential pathlength factor for near-infrared spectroscopy. I. Steady-state with homogeneous medium. JOURNAL OF BIOMEDICAL OPTICS 2015; 20:105005. [PMID: 26465613 PMCID: PMC4881291 DOI: 10.1117/1.jbo.20.10.105005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Accepted: 08/28/2015] [Indexed: 05/03/2023]
Abstract
This work analytically examines some dependences of the differential pathlength factor (DPF) for steady-state photon diffusion in a homogeneous medium on the shape, dimension, and absorption and reduced scattering coefficients of the medium. The medium geometries considered include a semi-infinite geometry, an infinite-length cylinder evaluated along the azimuthal direction, and a sphere. Steady-state photon fluence rate in the cylinder and sphere geometries is represented by a form involving the physical source, its image with respect to the associated extrapolated half-plane, and a radius-dependent term, leading to simplified formula for estimating the DPFs. With the source-detector distance and medium optical properties held fixed across all three geometries, and equal radii for the cylinder and sphere, the DPF is the greatest in the semi-infinite and the smallest in the sphere geometry. When compared to the results from finite-element method, the DPFs analytically estimated for 10 to 25 mm source–detector separations on a sphere of 50 mm radius with μa=0.01 mm(−1) and μ′s=1.0 mm(−1) are on average less than 5% different. The approximation for sphere, generally valid for a diameter≥20 times of the effective attenuation pathlength, may be useful for rapid estimation of DPFs in near-infrared spectroscopy of an infant head and for short source–detector separation.
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Affiliation(s)
- Daqing Piao
- Oklahoma State University, School of Electrical and Computer Engineering, Stillwater, Oklahoma 74078, United States
- Address all correspondence to: Daqing Piao, E-mail:
| | - Randall L. Barbour
- SUNY Downstate Medical Center, Department of Pathology, Brooklyn, New York 11203, United States
- NIRx Medical Technologies LLC, Glen Head, New York 11545, United States
| | - Harry L. Graber
- NIRx Medical Technologies LLC, Glen Head, New York 11545, United States
| | - Daniel C. Lee
- University of Oklahoma College of Medicine, Department of Surgery, Oklahoma City, Oklahoma 73104, United States
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90
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Kurihara K, Kawaguchi H, Obata T, Ito H, Okada E. Magnetic resonance imaging appropriate for construction of subject-specific head models for diffuse optical tomography. BIOMEDICAL OPTICS EXPRESS 2015; 6:3197-3209. [PMID: 26417492 PMCID: PMC4574648 DOI: 10.1364/boe.6.003197] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2015] [Revised: 07/24/2015] [Accepted: 07/24/2015] [Indexed: 06/05/2023]
Abstract
Subject-specific head models of which their geometry is based on structural magnetic resonance images are essential to accurately estimate the spatial sensitivity profiles for image reconstruction in diffuse optical tomography. T1-weighted magnetic resonance images, which are commonly used for structural imaging, are not sufficient for the threshold-based segmentation of the superficial tissues. Two types of pulse sequences, which provide a high contrast among the superficial tissues, are introduced to complement the segmentation to construct the subject-specific head models. The magnetic resonance images acquired by the proposed pulse sequences are robust to the threshold level and adequate for the threshold-based segmentation of the superficial tissues compared to the T1- and T2-weighted images. The total scan time of the proposed pulse sequences is less than one-fourth of that for the T2-weighted pulse sequence.
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Affiliation(s)
- Kazuki Kurihara
- Department of Electronics and Electrical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, 223-8522, Japan
| | - Hiroshi Kawaguchi
- Human Informatics Research Institute, National Institute of Advanced Industrial Science and Technology, Central 6, 1-1-1 Higashi, Tsukuba, Ibaraki, 305-8566, Japan
- Molecular Imaging Center, National Institute of Radiological Sciences, 4-9-1 Anagawa, Inage-ku, Chiba, 263-8555, Japan
| | - Takayuki Obata
- Molecular Imaging Center, National Institute of Radiological Sciences, 4-9-1 Anagawa, Inage-ku, Chiba, 263-8555, Japan
- Research Center for Charged Particle Therapy, National Institute of Radiological Sciences, 4-9-1 Anagawa, Inage-ku, Chiba, 263-8555, Japan
| | - Hiroshi Ito
- Molecular Imaging Center, National Institute of Radiological Sciences, 4-9-1 Anagawa, Inage-ku, Chiba, 263-8555, Japan
- Advanced Clinical Research Center, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan
| | - Eiji Okada
- Department of Electronics and Electrical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, 223-8522, Japan
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91
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He L, Lin Y, Huang C, Irwin D, Szabunio MM, Yu G. Noncontact diffuse correlation tomography of human breast tumor. JOURNAL OF BIOMEDICAL OPTICS 2015; 20:86003. [PMID: 26259706 PMCID: PMC4688914 DOI: 10.1117/1.jbo.20.8.086003] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2015] [Accepted: 07/09/2015] [Indexed: 05/19/2023]
Abstract
Our first step to adapt our recently developed noncontact diffuse correlation tomography (ncDCT) system for three-dimensional (3-D) imaging of blood flow distribution in human breast tumors is reported. A commercial 3-D camera was used to obtain breast surface geometry, which was then converted to a solid volume mesh. An ncDCT probe scanned over a region of interest on the mesh surface and the measured boundary data were combined with a finite element framework for 3-D image reconstruction of blood flow distribution. This technique was tested in computer simulations and in vivo human breasts with low-grade carcinoma. Results from computer simulations suggest that relatively high accuracy can be achieved when the entire tumor is within the sensitive region of diffuse light. Image reconstruction with a priori knowledge of the tumor volume and location can significantly improve the accuracy in recovery of tumor blood flow contrasts. In vivo imaging results from two breast carcinomas show higher average blood flow contrasts (5.9- and 10.9-fold) in the tumor regions compared to the surrounding tissues, which are comparable with previous findings using diffuse correlation spectroscopy. The ncDCT system has the potential to image blood flow distributions in soft and vulnerable tissues without distorting tissue hemodynamics
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Affiliation(s)
- Lian He
- University of Kentucky, Department of Biomedical Engineering, 143 Graham Avenue, Lexington, Kentucky 40506, United States
| | - Yu Lin
- University of Kentucky, Department of Biomedical Engineering, 143 Graham Avenue, Lexington, Kentucky 40506, United States
| | - Chong Huang
- University of Kentucky, Department of Biomedical Engineering, 143 Graham Avenue, Lexington, Kentucky 40506, United States
| | - Daniel Irwin
- University of Kentucky, Department of Biomedical Engineering, 143 Graham Avenue, Lexington, Kentucky 40506, United States
| | - Margaret M. Szabunio
- University of Kentucky, Markey Cancer Center, Division of Women’s Radiology, 800 Rose Street, Lexington, Kentucky 40536, United States
| | - Guoqiang Yu
- University of Kentucky, Department of Biomedical Engineering, 143 Graham Avenue, Lexington, Kentucky 40506, United States
- Address all correspondence to: Guoqiang Yu, E-mail:
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92
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Wu X, Eggebrecht AT, Ferradal SL, Culver JP, Dehghani H. Evaluation of rigid registration methods for whole head imaging in diffuse optical tomography. NEUROPHOTONICS 2015; 2:035002. [PMID: 26217675 PMCID: PMC4509792 DOI: 10.1117/1.nph.2.3.035002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Accepted: 06/18/2015] [Indexed: 05/22/2023]
Abstract
Functional brain imaging has become an important neuroimaging technique for the study of brain organization and development. Compared to other imaging techniques, diffuse optical tomography (DOT) is a portable and low-cost technique that can be applied to infants and hospitalized patients using an atlas-based light model. For DOT imaging, the accuracy of the forward model has a direct effect on the resulting recovered brain function within a field of view and so the accuracy of the spatially normalized atlas-based forward models must be evaluated. Herein, the accuracy of atlas-based DOT is evaluated on models that are spatially normalized via a number of different rigid registration methods on 24 subjects. A multileveled approach is developed to evaluate the correlation of the geometrical and sensitivity accuracies across the full field of view as well as within specific functional subregions. Results demonstrate that different registration methods are optimal for recovery of different sets of functional brain regions. However, the "nearest point to point" registration method, based on the EEG 19 landmark system, is shown to be the most appropriate registration method for image quality throughout the field of view of the high-density cap that covers the whole of the optically accessible cortex.
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Affiliation(s)
- Xue Wu
- University of Birmingham, School of Computer Science, Edgbaston, Birmingham B15 2TT, United Kingdom
| | - Adam T. Eggebrecht
- Washington University School of Medicine, Department of Radiology, 4525 Scott Avenue, St. Louis, Missouri 63110, United States
| | - Silvina L. Ferradal
- Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, 300 Longwood Avenue, Boston, Massachusetts 02115, United States
| | - Joseph P. Culver
- Washington University School of Medicine, Department of Radiology, 4525 Scott Avenue, St. Louis, Missouri 63110, United States
- Washington University, Department of Biomedical Engineering, One Brookings Drive, St. Louis, Missouri 63130, United States
| | - Hamid Dehghani
- University of Birmingham, School of Computer Science, Edgbaston, Birmingham B15 2TT, United Kingdom
- Address all correspondence to: Hamid Dehghani, E-mail:
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93
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Li S, Montcel B, Yuan Z, Liu W, Vray D. Multigrid-based reconstruction algorithm for quantitative photoacoustic tomography. BIOMEDICAL OPTICS EXPRESS 2015; 6:2424-2434. [PMID: 26203371 PMCID: PMC4505699 DOI: 10.1364/boe.6.002424] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2015] [Revised: 05/08/2015] [Accepted: 06/03/2015] [Indexed: 05/31/2023]
Abstract
This paper proposes a multigrid inversion framework for quantitative photoacoustic tomography reconstruction. The forward model of optical fluence distribution and the inverse problem are solved at multiple resolutions. A fixed-point iteration scheme is formulated for each resolution and used as a cost function. The simulated and experimental results for quantitative photoacoustic tomography reconstruction show that the proposed multigrid inversion can dramatically reduce the required number of iterations for the optimization process without loss of reliability in the results.
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Affiliation(s)
- Shengfu Li
- Université de Lyon, CREATIS ; CNRS UMR5220 ; Inserm U1044 ; INSA-Lyon ; Université Lyon 1, France
- HIT-INSA Sino French Research Center for Biomedical Imaging, Harbin Institute of Technology, Harbin 150001, China
| | - Bruno Montcel
- Université de Lyon, CREATIS ; CNRS UMR5220 ; Inserm U1044 ; INSA-Lyon ; Université Lyon 1, France
| | - Zhen Yuan
- Bioimaging Core, Faculty of Health Sciences, University of Macau, Av. Padre Tomás Pereira, Taipa, Macau SAR, China
| | - Wanyu Liu
- HIT-INSA Sino French Research Center for Biomedical Imaging, Harbin Institute of Technology, Harbin 150001, China
| | - Didier Vray
- Université de Lyon, CREATIS ; CNRS UMR5220 ; Inserm U1044 ; INSA-Lyon ; Université Lyon 1, France
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94
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Mapping cortical responses to speech using high-density diffuse optical tomography. Neuroimage 2015; 117:319-26. [PMID: 26026816 DOI: 10.1016/j.neuroimage.2015.05.058] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2015] [Revised: 04/16/2015] [Accepted: 05/20/2015] [Indexed: 11/21/2022] Open
Abstract
The functional neuroanatomy of speech processing has been investigated using positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) for more than 20years. However, these approaches have relatively poor temporal resolution and/or challenges of acoustic contamination due to the constraints of echoplanar fMRI. Furthermore, these methods are contraindicated because of safety concerns in longitudinal studies and research with children (PET) or in studies of patients with metal implants (fMRI). High-density diffuse optical tomography (HD-DOT) permits presenting speech in a quiet acoustic environment, has excellent temporal resolution relative to the hemodynamic response, and provides noninvasive and metal-compatible imaging. However, the performance of HD-DOT in imaging the brain regions involved in speech processing is not fully established. In the current study, we use an auditory sentence comprehension task to evaluate the ability of HD-DOT to map the cortical networks supporting speech processing. Using sentences with two levels of linguistic complexity, along with a control condition consisting of unintelligible noise-vocoded speech, we recovered a hierarchically organized speech network that matches the results of previous fMRI studies. Specifically, hearing intelligible speech resulted in increased activity in bilateral temporal cortex and left frontal cortex, with syntactically complex speech leading to additional activity in left posterior temporal cortex and left inferior frontal gyrus. These results demonstrate the feasibility of using HD-DOT to map spatially distributed brain networks supporting higher-order cognitive faculties such as spoken language.
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95
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Zhao Y, Mastanduno MA, Jiang S, EI-Ghussein F, Gui J, Pogue BW, Paulsen KD. Optimization of image reconstruction for magnetic resonance imaging-guided near-infrared diffuse optical spectroscopy in breast. JOURNAL OF BIOMEDICAL OPTICS 2015; 20:56009. [PMID: 26000795 PMCID: PMC4572095 DOI: 10.1117/1.jbo.20.5.056009] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Accepted: 04/28/2015] [Indexed: 05/18/2023]
Abstract
An optimized approach to nonlinear iterative reconstruction of magnetic resonance imaging (MRI)-guided near-infrared spectral tomography (NIRST) images was developed using an L-curve-based algorithm for the choice of regularization parameter. This approach was applied to clinical exam data to maximize the reconstructed values differentiating malignant and benign lesions. MRI/NIRST data from 25 patients with abnormal breast readings (BI-RADS category 4-5) were analyzed using this optimal regularization methodology, and the results showed enhanced p values and area under the curve (AUC) for the task of differentiating malignant from benign lesions. Of the four absorption parameters and two scatter parameters, the most significant differences for benign versus malignant were total hemoglobin (HbT) and tissue optical index (TOI) with p values = 0.01 and 0.001, and AUC values = 0.79 and 0.94, respectively, in terms of HbT and TOI. This dramatically improved the values relative to fixed regularization (p value = 0.02 and 0.003; AUC = 0.75 and 0.83) showing that more differentiation was possible with the optimal method. Through a combination of both biomarkers, HbT and TOI, the AUC increased from 82.9% (fixed regulation = 0.1) to 94.3% (optimal method).
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Affiliation(s)
- Yan Zhao
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States
- Address all correspondence to: Yan Zhao, E-mail:
| | - Michael A. Mastanduno
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States
| | - Shudong Jiang
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States
| | - Fadi EI-Ghussein
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States
| | - Jiang Gui
- Dartmouth College, Geisel School of Medicine, Department of Community and Family Medicine, Hanover, New Hampshire 03755, United States
| | - Brian W. Pogue
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States
| | - Keith D. Paulsen
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States
- Dartmouth College, Geisel School of Medicine, Department of Community and Family Medicine, Hanover, New Hampshire 03755, United States
- Dartmouth College, Geisel School of Medicine, Department of Diagnostic Radiology, Hanover, NH03755, United States
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96
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Yang Y, Wang KKH, Eslami S, Iordachita II, Patterson MS, Wong JW. Systematic calibration of an integrated x-ray and optical tomography system for preclinical radiation research. Med Phys 2015; 42:1710-20. [PMID: 25832060 PMCID: PMC4368593 DOI: 10.1118/1.4914860] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2014] [Revised: 02/02/2015] [Accepted: 02/17/2015] [Indexed: 01/03/2023] Open
Abstract
PURPOSE The cone beam computed tomography (CBCT) guided small animal radiation research platform (SARRP) has been developed for focal tumor irradiation, allowing laboratory researchers to test basic biological hypotheses that can modify radiotherapy outcomes in ways that were not feasible previously. CBCT provides excellent bone to soft tissue contrast, but is incapable of differentiating tumors from surrounding soft tissue. Bioluminescence tomography (BLT), in contrast, allows direct visualization of even subpalpable tumors and quantitative evaluation of tumor response. Integration of BLT with CBCT offers complementary image information, with CBCT delineating anatomic structures and BLT differentiating luminescent tumors. This study is to develop a systematic method to calibrate an integrated CBCT and BLT imaging system which can be adopted onboard the SARRP to guide focal tumor irradiation. METHODS The integrated imaging system consists of CBCT, diffuse optical tomography (DOT), and BLT. The anatomy acquired from CBCT and optical properties acquired from DOT serve as a priori information for the subsequent BLT reconstruction. Phantoms were designed and procedures were developed to calibrate the CBCT, DOT/BLT, and the entire integrated system. Geometrical calibration was performed to calibrate the CBCT system. Flat field correction was performed to correct the nonuniform response of the optical imaging system. Absolute emittance calibration was performed to convert the camera readout to the emittance at the phantom or animal surface, which enabled the direct reconstruction of the bioluminescence source strength. Phantom and mouse imaging were performed to validate the calibration. RESULTS All calibration procedures were successfully performed. Both CBCT of a thin wire and a euthanized mouse revealed no spatial artifact, validating the accuracy of the CBCT calibration. The absolute emittance calibration was validated with a 650 nm laser source, resulting in a 3.0% difference between simulated and measured signal. The calibration of the entire system was confirmed through the CBCT and BLT reconstruction of a bioluminescence source placed inside a tissue-simulating optical phantom. Using a spatial region constraint, the source position was reconstructed with less than 1 mm error and the source strength reconstructed with less than 24% error. CONCLUSIONS A practical and systematic method has been developed to calibrate an integrated x-ray and optical tomography imaging system, including the respective CBCT and optical tomography system calibration and the geometrical calibration of the entire system. The method can be modified and adopted to calibrate CBCT and optical tomography systems that are operated independently or hybrid x-ray and optical tomography imaging systems.
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Affiliation(s)
- Yidong Yang
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland 21231 and Department of Radiation Oncology, University of Miami School of Medicine, Miami, Florida 33136
| | - Ken Kang-Hsin Wang
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland 21231
| | - Sohrab Eslami
- Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, Maryland 21218
| | - Iulian I Iordachita
- Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, Maryland 21218
| | - Michael S Patterson
- Juravinski Cancer Centre and Department of Medical Physics and Applied Radiation Sciences, McMaster University, Hamilton, Ontario L8S4K1, Canada
| | - John W Wong
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland 21231
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97
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Cerussi AE, Mishra N, You J, Bhandarkar N, Wong B. Monte Carlo modeling of light propagation in the human head for applications in sinus imaging. JOURNAL OF BIOMEDICAL OPTICS 2015; 20:035004. [PMID: 25781310 PMCID: PMC4362326 DOI: 10.1117/1.jbo.20.3.035004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2014] [Accepted: 02/05/2015] [Indexed: 06/04/2023]
Abstract
Sinus blockages are a common reason for physician visits, affecting one out of seven people in the United States, and often require medical treatment. Diagnosis in the primary care setting is challenging because symptom criteria (via detailed clinical history) plus objective imaging [computed tomography (CT) or endoscopy] are recommended. Unfortunately, neither option is routinely available in primary care. We previously demonstrated that low-cost near-infrared (NIR) transillumination correlates with the bulk findings of sinus opacity measured by CT. We have upgraded the technology, but questions of source optimization, anatomical influence, and detection limits remain. In order to begin addressing these questions, we have modeled NIR light propagation inside a three-dimensional adult human head constructed via CT images using a mesh-based Monte Carlo algorithm (MMCLAB). In this application, the sinus itself, which when healthy is a void region (e.g., nonscattering), is the region of interest. We characterize the changes in detected intensity due to clear (i.e., healthy) versus blocked sinuses and the effect of illumination patterns. We ran simulations for two clinical cases and compared simulations with measurements. The simulations presented herein serve as a proof of concept that this approach could be used to understand contrast mechanisms and limitations of NIR sinus imaging.
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Affiliation(s)
- Albert E. Cerussi
- University of California Irvine, Beckman Laser Institute, 1002 Health Sciences Road East, Irvine, California 92617, United States
| | - Nikhil Mishra
- University of California Irvine, Beckman Laser Institute, 1002 Health Sciences Road East, Irvine, California 92617, United States
| | - Joon You
- Praxis Biosciences, Irvine, California 92617, United States
| | - Naveen Bhandarkar
- University of California, Department of Head and Neck Surgery, 101 The City Drive South, Irvine, Orange, California 92868, United States
| | - Brian Wong
- University of California Irvine, Beckman Laser Institute, 1002 Health Sciences Road East, Irvine, California 92617, United States
- University of California, Department of Head and Neck Surgery, 101 The City Drive South, Irvine, Orange, California 92868, United States
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98
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Demers JLH, Esmonde-White FW, Esmonde-White KA, Morris MD, Pogue BW. Next-generation Raman tomography instrument for non-invasive in vivo bone imaging. BIOMEDICAL OPTICS EXPRESS 2015; 6:793-806. [PMID: 25798304 PMCID: PMC4361434 DOI: 10.1364/boe.6.000793] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2014] [Revised: 01/15/2015] [Accepted: 01/15/2015] [Indexed: 05/20/2023]
Abstract
Combining diffuse optical tomography methods with Raman spectroscopy of tissue provides the ability for in vivo measurements of chemical and molecular characteristics, which have the potential for being useful in diagnostic imaging. In this study a system for Raman tomography was developed and tested. A third generation microCT coupled system was developed to combine 10 detection fibers and 5 excitation fibers with laser line filtering and a Cytop reference signal. Phantom measurements of hydroxyapatite concentrations from 50 to 300 mg/ml had a linear response. Fiber placement and experiment design was optimized using cadaver animals with live animal measurements acquired to validate the systems capabilities. Promising results from the initial animal experiments presented here, pave the way for a study of longitudinal measurements during fracture healing and the scaling of the Raman tomography system towards human measurements.
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Affiliation(s)
- Jennifer-Lynn H. Demers
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, 03755,
USA
- JLHD and FEW have made equal contributions to the manuscript
| | - Francis W.L. Esmonde-White
- University of Michigan, Department of Chemistry, Ann Arbor, Michigan, 48109,
USA
- Current affiliation: Kaiser Optical Systems, Inc, Ann Arbor Michigan, 48103,
USA
- JLHD and FEW have made equal contributions to the manuscript
| | - Karen A. Esmonde-White
- University of Michigan Medical School, Department of Internal Medicine-Division of Rheumatology, Ann Arbor, Michigan, 48109,
USA
| | - Michael D. Morris
- University of Michigan, Department of Chemistry, Ann Arbor, Michigan, 48109,
USA
| | - Brian W. Pogue
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, 03755,
USA
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99
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Jermyn M, Kolste K, Pichette J, Sheehy G, Angulo-Rodríguez L, Paulsen KD, Roberts DW, Wilson BC, Petrecca K, Leblond F. Macroscopic-imaging technique for subsurface quantification of near-infrared markers during surgery. JOURNAL OF BIOMEDICAL OPTICS 2015; 20:036014. [PMID: 25793562 PMCID: PMC4367847 DOI: 10.1117/1.jbo.20.3.036014] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2015] [Accepted: 03/03/2015] [Indexed: 05/20/2023]
Abstract
Obtaining accurate quantitative information on the concentration and distribution of fluorescent markers lying at a depth below the surface of optically turbid media, such as tissue, is a significant challenge. Here, we introduce a fluorescence reconstruction technique based on a diffusion light transport model that can be used during surgery, including guiding resection of brain tumors, for depth-resolved quantitative imaging of near-infrared fluorescent markers. Hyperspectral fluorescence images are used to compute a topographic map of the fluorophore distribution, which yields structural and optical constraints for a three-dimensional subsequent hyperspectral diffuse fluorescence reconstruction algorithm. Using the model fluorophore Alexa Fluor 647 and brain-like tissue phantoms, the technique yielded estimates of fluorophore concentration within ±25% of the true value to depths of 5 to 9 mm, depending on the concentration. The approach is practical for integration into a neurosurgical fluorescence microscope and has potential to further extend fluorescence-guided resection using objective and quantified metrics of the presence of residual tumor tissue.
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Affiliation(s)
- Michael Jermyn
- McGill University, Brain Tumour Research Centre, Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, 3801 University Street, Montreal, Quebec H3A 2B4, Canada
- Polytechnique Montreal, Department of Engineering Physics, CP 6079, Succ. Centre-Ville, Montreal, Quebec H3C 3A7, Canada
| | - Kolbein Kolste
- Dartmouth College, Thayer School of Engineering, 14 Engineering Drive, Hanover, New Hampshire 03755, United States
| | - Julien Pichette
- Polytechnique Montreal, Department of Engineering Physics, CP 6079, Succ. Centre-Ville, Montreal, Quebec H3C 3A7, Canada
| | - Guillaume Sheehy
- Polytechnique Montreal, Department of Engineering Physics, CP 6079, Succ. Centre-Ville, Montreal, Quebec H3C 3A7, Canada
| | - Leticia Angulo-Rodríguez
- Polytechnique Montreal, Department of Engineering Physics, CP 6079, Succ. Centre-Ville, Montreal, Quebec H3C 3A7, Canada
| | - Keith D. Paulsen
- Dartmouth College, Thayer School of Engineering, 14 Engineering Drive, Hanover, New Hampshire 03755, United States
| | - David W. Roberts
- Dartmouth-Hitchcock Medical Center, Section of Neurosurgery, Lebanon, New Hampshire 03756, United States
| | - Brian C. Wilson
- University of Toronto/University Health Network, Department of Medical Biophysics, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Kevin Petrecca
- McGill University, Brain Tumour Research Centre, Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, 3801 University Street, Montreal, Quebec H3A 2B4, Canada
| | - Frederic Leblond
- Polytechnique Montreal, Department of Engineering Physics, CP 6079, Succ. Centre-Ville, Montreal, Quebec H3C 3A7, Canada
- Address all correspondence to: Frederic Leblond, E-mail:
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100
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Holt RW, Demers JLH, Sexton KJ, Gunn JR, Davis SC, Samkoe KS, Pogue BW. Tomography of epidermal growth factor receptor binding to fluorescent Affibody in vivo studied with magnetic resonance guided fluorescence recovery in varying orthotopic glioma sizes. JOURNAL OF BIOMEDICAL OPTICS 2015; 20:26001. [PMID: 25652703 PMCID: PMC4317247 DOI: 10.1117/1.jbo.20.2.026001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2014] [Accepted: 12/23/2014] [Indexed: 05/20/2023]
Abstract
The ability to image targeted tracer binding to epidermal growth factor receptor (EGFR) was studied in vivo in orthotopically grown glioma tumors of different sizes. The binding potential was quantified using a dual-tracer approach, which employs a fluorescently labeled peptide targeted to EGFR and a reference tracer with similar pharmacokinetic properties but no specific binding, to estimate the relative bound fraction from kinetic compartment modeling. The recovered values of binding potential did not vary significantly as a function of tumor size (1 to 33 mm3), suggesting that binding potential may be consistent in the U251 tumors regardless of size or stage after implantation. However, the fluorescence yield of the targeted fluorescent tracers in the tumor was affected significantly by tumor size, suggesting that dual-tracer imaging helps account for variations in absolute uptake, which plague single-tracer imaging techniques. Ex vivo analysis showed relatively high spatial heterogeneity in each tumor that cannot be resolved by tomographic techniques. Nonetheless, the dual-tracer tomographic technique is a powerful tool for longitudinal bulk estimation of receptor binding.
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Affiliation(s)
- Robert W. Holt
- Dartmouth College, Department of Physics & Astronomy, Hanover, New Hampshire 03755, United States
| | - Jennifer-Lynn H. Demers
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States
| | - Kristian J. Sexton
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States
| | - Jason R. Gunn
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States
| | - Scott C. Davis
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States
| | - Kimberley S. Samkoe
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States
- Geisel School of Medicine at Dartmouth, Department of Surgery, Hanover, New Hampshire 03755, United States
| | - Brian W. Pogue
- Dartmouth College, Department of Physics & Astronomy, Hanover, New Hampshire 03755, United States
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States
- Geisel School of Medicine at Dartmouth, Department of Surgery, Hanover, New Hampshire 03755, United States
- Address all correspondence to: Brian W. Pogue, E-mail:
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