1
|
Abstract
Biomedical research has long relied on small-animal studies to elucidate disease process and develop new medical treatments. The introduction of in vivo functional imaging technology, such as PET, has allowed investigators to peer inside their subjects and follow disease progression longitudinally as well as improve understanding of normal biological processes. Recent developments in CRISPR, immuno-PET, and high-resolution in vivo imaging have only increased the importance of small-animal, or preclinical, PET imaging. Other drivers of preclinical PET innovation include new combinations of imaging technologies, such as PET/MR imaging, which require changes to PET hardware.
Collapse
Affiliation(s)
- Adrienne L Lehnert
- Department of Radiology, University of Washington, 1959 Northeast Pacific Street, UW Box 356043, Seattle, WA, USA.
| | - Robert S Miyaoka
- Department of Radiology, University of Washington, 1959 Northeast Pacific Street, UW Box 356043, Seattle, WA, USA
| |
Collapse
|
2
|
Coutinho Almeida-da-Silva CL, Cabido LF, Chin WC, Wang G, Ojcius DM, Li C. Interactions between silica and titanium nanoparticles and oral and gastrointestinal epithelia: Consequences for inflammatory diseases and cancer. Heliyon 2023; 9:e14022. [PMID: 36938417 PMCID: PMC10020104 DOI: 10.1016/j.heliyon.2023.e14022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 02/09/2023] [Accepted: 02/20/2023] [Indexed: 03/21/2023] Open
Abstract
Engineered nanoparticles (NPs) composed of elements such as silica and titanium, smaller than 100 nm in diameter and their aggregates, are found in consumer products such as cosmetics, food, antimicrobials and drug delivery systems, and oral health products such as toothpaste and dental materials. They may also interact accidently with epithelial tissues in the intestines and oral cavity, where they can aggregate into larger particles and induce inflammation through pathways such as inflammasome activation. Persistent inflammation can lead to precancerous lesions. Both the particles and lesions are difficult to detect in biopsies, especially in clinical settings that screen large numbers of patients. As diagnosis of early stages of disease can be lifesaving, there is growing interest in better understanding interactions between NPs and epithelium and developing rapid imaging techniques that could detect foreign particles and markers of inflammation in epithelial tissues. NPs can be labelled with fluorescence or radioactive isotopes, but it is challenging to detect unlabeled NPs with conventional imaging techniques. Different current imaging techniques such as synchrotron radiation X-ray fluorescence spectroscopy are discussed here. Improvements in imaging techniques, coupled with the use of machine learning tools, are needed before diagnosis of particles in biopsies by automated imaging could move usefully into the clinic.
Collapse
Affiliation(s)
| | - Leticia Ferreira Cabido
- Department of Oral and Maxillofacial Surgery, University of the Pacific, San Francisco, CA, USA
| | - Wei-Chun Chin
- Department of Bioengineering, University of California, Merced, CA, USA
| | - Ge Wang
- Department of Biomedical Engineering, Biomedical Imaging Center, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - David M Ojcius
- Department of Biomedical Sciences, University of the Pacific, San Francisco, CA, USA
| | - Changqing Li
- Department of Bioengineering, University of California, Merced, CA, USA
| |
Collapse
|
3
|
Noltes ME, van Dam GM, Nagengast WB, van der Zaag PJ, Slart RHJA, Szymanski W, Kruijff S, Dierckx RAJO. Let's embrace optical imaging: a growing branch on the clinical molecular imaging tree. Eur J Nucl Med Mol Imaging 2021; 48:4120-4128. [PMID: 34463808 DOI: 10.1007/s00259-021-05476-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/09/2022]
Affiliation(s)
- Milou E Noltes
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, the Netherlands.,Department of Surgery, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Gooitzen M van Dam
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, the Netherlands.,AxelaRx/TRACER B.V, Groningen, the Netherlands
| | - Wouter B Nagengast
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Pieter J van der Zaag
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, the Netherlands.,Molecular Biophysics, Zernike Institute, University of Groningen, Nijenborgh 4, 9747 AG, Groningen, the Netherlands
| | - Riemer H J A Slart
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, the Netherlands.,Faculty of Science and Technology, Department of Biomedical Photonic Imaging, University of Twente, Enschede, Netherlands
| | - Wiktor Szymanski
- Stratingh Institute for Chemistry, University of Groningen, Nijenborgh 7, 9747AG, Groningen, the Netherlands.,Medical Imaging Center, Department of Radiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Schelto Kruijff
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, the Netherlands.,Department of Surgery, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Rudi A J O Dierckx
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, the Netherlands. .,Medical Imaging Center, Department of Radiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
| |
Collapse
|
4
|
Cao X, Zhang J, Yang J, Fan C, Zhao F, Zhou W, Wang L, Geng G, Zhou M, Chen X. A deep unsupervised clustering-based post-processing framework for high-fidelity Cerenkov luminescence tomography. JOURNAL OF APPLIED PHYSICS 2020; 128. [DOI: 10.1063/5.0025877] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
Abstract
Cerenkov Luminescence Tomography (CLT) is a promising optical molecular imaging technology. It involves the three-dimensional reconstruction of the distribution of radionuclide probes inside a single object to indicate a tumor's localization and distribution. However, reconstruction using CLT suffers from severe ill-posedness, resulting in numerous artifacts within the reconstructed images. These artifacts influence the visual effect and may misguide the medical professional (diagnostician), resulting in a wrong diagnosis. Here, we proposed a deep unsupervised clustering-based post-processing framework to eliminate artifacts and facilitate high-fidelity CLT. First, an initial reconstructed image was obtained by a specific reconstruction method. Second, voxel data were generated based on the initial reconstructed result. Third, these voxels were divided into three groups, and only the group with the highest mean intensity was chosen as the final reconstructed result. A group of numerical simulation and in vivo mouse-based experiments were conducted to assess the presented framework's feasibility and potential. The results indicated that the proposed framework could reduce the number of artifacts effectively. The reconstructed image's shape and distribution were more similar to the actual light source than those obtained without the proposed framework.
Collapse
Affiliation(s)
- Xin Cao
- School of Information Sciences and Technology, Northwest University 1 , Xi'an, Shaanxi 710127, China
| | - Jun Zhang
- School of Information Sciences and Technology, Northwest University 1 , Xi'an, Shaanxi 710127, China
| | - Jianan Yang
- School of Information Sciences and Technology, Northwest University 1 , Xi'an, Shaanxi 710127, China
| | - Chunxiao Fan
- School of Computer Science and Information Engineering, Hefei University of Technology 2 , Hefei, Anhui 230601, China
| | - Fengjun Zhao
- School of Information Sciences and Technology, Northwest University 1 , Xi'an, Shaanxi 710127, China
| | - Wei Zhou
- School of Information Sciences and Technology, Northwest University 1 , Xi'an, Shaanxi 710127, China
| | - Lin Wang
- School of Information Sciences and Technology, Northwest University 1 , Xi'an, Shaanxi 710127, China
| | - Guohua Geng
- School of Information Sciences and Technology, Northwest University 1 , Xi'an, Shaanxi 710127, China
| | - Mingquan Zhou
- Engineering Research Center of Virtual Reality and Applications, Ministry of Education, Beijing Key Laboratory of Digital Preservation and Virtual Reality for Cultural Heritage, Beijing Normal University 3 , Beijing, China
| | - Xueli Chen
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education & School of Life Science and Technology, Xidian University 4 , Xi'an, Shaanxi 710071, China
| |
Collapse
|
5
|
Cao X, Li K, Xu XL, Deneen KMV, Geng GH, Chen XL. Development of tomographic reconstruction for three-dimensional optical imaging: From the inversion of light propagation to artificial intelligence. Artif Intell Med Imaging 2020; 1:78-86. [DOI: 10.35711/aimi.v1.i2.78] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 08/01/2020] [Accepted: 08/21/2020] [Indexed: 02/06/2023] Open
Abstract
Optical molecular tomography (OMT) is an imaging modality which uses an optical signal, especially near-infrared light, to reconstruct the three-dimensional information of the light source in biological tissue. With the advantages of being low-cost, noninvasive and having high sensitivity, OMT has been applied in preclinical and clinical research. However, due to its serious ill-posedness and ill-condition, the solution of OMT requires heavy data analysis and the reconstruction quality is limited. Recently, the artificial intelligence (commonly known as AI)-based methods have been proposed to provide a different tool to solve the OMT problem. In this paper, we review the progress on OMT algorithms, from conventional methods to AI-based methods, and we also give a prospective towards future developments in this domain.
Collapse
Affiliation(s)
- Xin Cao
- School of Information Science and Technology, Northwest University, Xi’an 710069, Shaanxi Province, China
| | - Kang Li
- School of Information Science and Technology, Northwest University, Xi’an 710069, Shaanxi Province, China
| | - Xue-Li Xu
- School of Information Science and Technology, Northwest University, Xi’an 710069, Shaanxi Province, China
| | - Karen M von Deneen
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, and School of Life Science and Technology, Xidian University, Xi’an 710126, Shaanxi Province, China
| | - Guo-Hua Geng
- School of Information Science and Technology, Northwest University, Xi’an 710069, Shaanxi Province, China
| | - Xue-Li Chen
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, and School of Life Science and Technology, Xidian University, Xi’an 710126, Shaanxi Province, China
| |
Collapse
|
6
|
|
7
|
Miyaoka RS, Lehnert A. Small animal PET: a review of what we have done and where we are going. Phys Med Biol 2020; 65. [PMID: 32357344 DOI: 10.1088/1361-6560/ab8f71] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 05/01/2020] [Indexed: 02/07/2023]
Abstract
Small animal research is an essential tool in studying both pharmaceutical biodistributions and disease progression over time. Furthermore, through the rapid development of in vivo imaging technology over the last few decades, small animal imaging (also referred to as preclinical imaging) has become a mainstay for all fields of biologic research and a center point for most preclinical cancer research. Preclinical imaging modalities include optical, MRI and MRS, microCT, small animal PET, ultrasound, and photoacoustic, each with their individual strengths. The strong points of small animal PET are its translatability to the clinic; its quantitative imaging capabilities; its whole-body imaging ability to dynamically trace functional/biochemical processes; its ability to provide useful images with only nano- to pico‑ molar concentrations of administered compounds; and its ability to study animals serially over time. This review paper gives an overview of the development and evolution of small animal PET imaging. It provides an overview of detector designs; system configurations; multimodality PET imaging systems; image reconstruction and analysis tools; and an overview of research and commercially available small animal PET systems. It concludes with a look toward developing technologies/methodologies that will further enhance the impact of small animal PET imaging on medical research in the future.
Collapse
Affiliation(s)
- Robert S Miyaoka
- Radiology, University of Washington, Seattle, Washington, UNITED STATES
| | - Adrienne Lehnert
- Radiology, University of Washington, Seattle, Washington, UNITED STATES
| |
Collapse
|
8
|
Baikejiang R, Zhang W, Zhu D, Hernandez AM, Shakeri SA, Wang G, Qi J, Boone JM, Li C. Kernel-based anatomically-aided diffuse optical tomography reconstruction. Biomed Phys Eng Express 2017. [DOI: 10.1088/2057-1976/aa87bb] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
|
9
|
Quang TT, Kim HY, Bao FS, Papay FA, Edwards WB, Liu Y. Fluorescence Imaging Topography Scanning System for intraoperative multimodal imaging. PLoS One 2017; 12:e0174928. [PMID: 28437441 PMCID: PMC5402944 DOI: 10.1371/journal.pone.0174928] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Accepted: 03/18/2017] [Indexed: 02/05/2023] Open
Abstract
Fluorescence imaging is a powerful technique with diverse applications in intraoperative settings. Visualization of three dimensional (3D) structures and depth assessment of lesions, however, are oftentimes limited in planar fluorescence imaging systems. In this study, a novel Fluorescence Imaging Topography Scanning (FITS) system has been developed, which offers color reflectance imaging, fluorescence imaging and surface topography scanning capabilities. The system is compact and portable, and thus suitable for deployment in the operating room without disturbing the surgical flow. For system performance, parameters including near infrared fluorescence detection limit, contrast transfer functions and topography depth resolution were characterized. The developed system was tested in chicken tissues ex vivo with simulated tumors for intraoperative imaging. We subsequently conducted in vivo multimodal imaging of sentinel lymph nodes in mice using FITS and PET/CT. The PET/CT/optical multimodal images were co-registered and conveniently presented to users to guide surgeries. Our results show that the developed system can facilitate multimodal intraoperative imaging.
Collapse
Affiliation(s)
- Tri T. Quang
- Department of Biomedical Engineering, the University of Akron, Akron, Ohio, United States of America
| | - Hye-Yeong Kim
- Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Forrest Sheng Bao
- Department of Electrical and Computer Engineering, the University of Akron, Akron, Ohio, United States of America
| | - Francis A. Papay
- Dermatology and Plastic Surgery Institute, Cleveland Clinic, Cleveland, Ohio, United States of America
| | - W. Barry Edwards
- Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
- * E-mail: (YL); (WBE)
| | - Yang Liu
- Department of Biomedical Engineering, the University of Akron, Akron, Ohio, United States of America
- * E-mail: (YL); (WBE)
| |
Collapse
|
10
|
KWONG TIFFANYC, HSING MITCHELL, LIN YUTING, THAYER DAVID, UNLU MEHMETBURCIN, SU MINYING, GULSEN GULTEKIN. Differentiation of tumor vasculature heterogeneity levels in small animals based on total hemoglobin concentration using magnetic resonance-guided diffuse optical tomography in vivo. APPLIED OPTICS 2016; 55:5479-87. [PMID: 27463894 PMCID: PMC6839944 DOI: 10.1364/ao.55.005479] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Insight into the vasculature of the tumor in small animals has the potential to impact many areas of cancer research. The heterogeneity of the vasculature of a tumor is directly related to tumor stage and disease progression. In this small scale animal study, we investigated the feasibility of differentiating tumors with different levels of vasculature heterogeneity in vivo using a previously developed hybrid magnetic resonance imaging (MRI) and diffuse optical tomography (DOT) system for small animal imaging. Cross-sectional total hemoglobin concentration maps of 10 Fisher rats bearing R3230 breast tumors are reconstructed using multi-wavelength DOT measurements both with and without magnetic resonance (MR) structural a priori information. Simultaneously acquired MR structural images are used to guide and constrain the DOT reconstruction, while dynamic contrast-enhanced MR functional images are used as the gold standard to classify the vasculature of the tumor into two types: high versus low heterogeneity. These preliminary results show that the stand-alone DOT is unable to differentiate tumors with low and high vascular heterogeneity without structural a priori information provided by a high resolution imaging modality. The mean total hemoglobin concentrations comparing the vasculature of the tumors with low and high heterogeneity are significant (p-value 0.02) only when MR structural a priori information is utilized.
Collapse
Affiliation(s)
- TIFFANY C. KWONG
- Tu and Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
| | - MITCHELL HSING
- Tu and Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
- Department of Electrical and Electronic Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - YUTING LIN
- Tu and Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02144, USA
| | - DAVID THAYER
- Tu and Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri 63110, USA
| | | | - MIN-YING SU
- Tu and Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
| | - GULTEKIN GULSEN
- Tu and Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
- Corresponding author:
| |
Collapse
|
11
|
Zhang W, Zhu D, Lun M, Li C. Multiple pinhole collimator based X-ray luminescence computed tomography. BIOMEDICAL OPTICS EXPRESS 2016; 7:2506-23. [PMID: 27446686 PMCID: PMC4948610 DOI: 10.1364/boe.7.002506] [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: 04/04/2016] [Revised: 05/18/2016] [Accepted: 05/22/2016] [Indexed: 05/20/2023]
Abstract
X-ray luminescence computed tomography (XLCT) is an emerging hybrid imaging modality, which is able to improve the spatial resolution of optical imaging to hundreds of micrometers for deep targets by using superfine X-ray pencil beams. However, due to the low X-ray photon utilization efficiency in a single pinhole collimator based XLCT, it takes a long time to acquire measurement data. Herein, we propose a multiple pinhole collimator based XLCT, in which multiple X-ray beams are generated to scan a sample at multiple positions simultaneously. Compared with the single pinhole based XLCT, the multiple X-ray beam scanning method requires much less measurement time. Numerical simulations and phantom experiments have been performed to demonstrate the feasibility of the multiple X-ray beam scanning method. In one numerical simulation, we used four X-ray beams to scan a cylindrical object with 6 deeply embedded targets. With measurements from 6 angular projections, all 6 targets have been reconstructed successfully. In the phantom experiment, we generated two X-ray pencil beams with a collimator manufactured in-house. Two capillary targets with 0.6 mm edge-to-edge distance embedded in a cylindrical phantom have been reconstructed successfully. With the two beam scanning, we reduced the data acquisition time by 50%. From the reconstructed XLCT images, we found that the Dice similarity of targets is 85.11% and the distance error between two targets is less than 3%. We have measured the radiation dose during XLCT scan and found that the radiation dose, 1.475 mSv, is in the range of a typical CT scan. We have measured the changes of the collimated X-ray beam size and intensity at different distances from the collimator. We have also studied the effects of beam size and intensity in the reconstruction of XLCT.
Collapse
|
12
|
Mohajerani P, Ntziachristos V. An Inversion Scheme for Hybrid Fluorescence Molecular Tomography Using a Fuzzy Inference System. IEEE TRANSACTIONS ON MEDICAL IMAGING 2016; 35:381-390. [PMID: 26340771 DOI: 10.1109/tmi.2015.2475356] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
The imaging performance of fluorescence molecular tomography (FMT) improves when information from the underlying anatomy is incorporated into the inversion scheme, in the form of priors. The requirement for incorporation of priors has recently driven the development of hybrid FMT systems coupled to other modalities, such as X-ray CT and MRI. A critical methodological aspect in this modality relates to the particular method selected to incorporate prior information obtained from the anatomical imaging modality into the FMT inversion. We propose herein a new approach for utilizing prior information, which preferentially minimizes residual errors associated with measurements that better describe the anatomical segments considered. This preferential minimization was realized using a weighted least square (WLS) approach, where the weights were optimized using a Mamdani-type fuzzy inference system. The method of priors introduced herein was deployed as a two-step structured regularization approach and was verified with experimental measurements from phantoms as well as ex vivo and in vivo animal studies. The results demonstrate accurate performance and minimization of reconstruction bias, without requiring user input for setting the regularization parameters. As such, the proposed method offers significant progress in incorporation of anatomical priors in FMT and, as a result, in realization of the full potential of hybrid FMT.
Collapse
|
13
|
Zhu D, Li C. Accelerated image reconstruction in fluorescence molecular tomography using a nonuniform updating scheme with momentum and ordered subsets methods. JOURNAL OF BIOMEDICAL OPTICS 2016; 21:16004. [PMID: 26762246 DOI: 10.1117/1.jbo.21.1.016004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2015] [Accepted: 12/08/2015] [Indexed: 05/03/2023]
|
14
|
Cao X, Chen X, Kang F, Zhan Y, Cao X, Wang J, Liang J, Tian J. Intensity Enhanced Cerenkov Luminescence Imaging Using Terbium-Doped Gd2O2S Microparticles. ACS APPLIED MATERIALS & INTERFACES 2015; 7:11775-11782. [PMID: 25992597 DOI: 10.1021/acsami.5b00432] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Weak intensity and poor penetration depth are two big obstacles toward clinical use of Cerenkov luminescence imaging (CLI). In this proof-of-concept study, we overcame these limitations by using lanthanides-based radioluminescent microparticles (RLMPs), called terbium doped Gd2O2S. The characterization experiment showed that the emission excited by Cerenkov luminescence can be neglected whereas the spectrum experiment demonstrated that the RLMPs can actually be excited by γ-rays. A series of in vitro experiments demonstrated that RLMPs significantly improve the intensity and the penetration capacity of CLI, which has been extended to as deep as 15 mm. In vivo pseudotumor study further prove the huge potential of this enhancement strategy for Cerenkov luminescence imaging in living animal studies.
Collapse
Affiliation(s)
| | | | - Fei Kang
- ‡Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, China
| | | | | | - Jing Wang
- ‡Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, China
| | | | - Jie Tian
- §Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| |
Collapse
|
15
|
Lu Y, Darne CD, Tan IC, Zhu B, Rightmer R, Rasmussen JC, Sevick-Muraca EM. Experimental Comparison of Continuous-Wave and Frequency-Domain Fluorescence Tomography in a Commercial Multi-Modal Scanner. IEEE TRANSACTIONS ON MEDICAL IMAGING 2015; 34:1197-1211. [PMID: 25438307 DOI: 10.1109/tmi.2014.2375193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
The performance evaluation of a variety of small animal tomography measurement approaches and algorithms for recovery of fluorescent absorption cross section has not been conducted. Herein, we employed an intensified CCD system installed in a commercial small animal CT (Computed Tomography) scanner to compare image reconstructions from time-independent, continuous wave (CW) measurements and from time-dependent, frequency domain (FD) measurements in a series of physical phantoms specifically designed for evaluation. Comparisons were performed as a function of (1) number of projections, (2) the level of preprocessing filters used to improve the signal-to-noise ratio (SNR), (3) endogenous heterogeneity of optical properties, as well as in the cases of (4) two fluorescent targets and (5) a mouse-shaped phantom. Assessment of quantitative recovery of fluorescence absorption cross section was performed using a fully parallel, regularization-free, linear reconstruction algorithm with diffusion approximation (DA) and high order simplified spherical harmonics ( SPN) approximation to the radiative transport equation (RTE). The results show that while FD measurements may result in superior image reconstructions over CW measurements, data acquisition times are significantly longer, necessitating further development of multiple detector/source configurations, improved data read-out rates, and detector technology. FD measurements with SP3 reconstructions enabled better quantitative recovery of fluorescent target strength, but required increased computational expense. Despite the developed parallel reconstruction framework being able to achieve more than 60 times speed increase over sequential implementation, further development in faster parallel acceleration strategies for near-real time and real-time image recovery and more precise forward solution is necessary.
Collapse
|
16
|
Zhu D, Li C. Nonuniform update for sparse target recovery in fluorescence molecular tomography accelerated by ordered subsets. BIOMEDICAL OPTICS EXPRESS 2014; 5:4249-59. [PMID: 26623173 PMCID: PMC4285603 DOI: 10.1364/boe.5.004249] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2014] [Revised: 10/18/2014] [Accepted: 10/24/2014] [Indexed: 05/20/2023]
Abstract
Fluorescence molecular tomography (FMT) is a promising imaging modality and has been actively studied in the past two decades since it can locate the specific tumor position three-dimensionally in small animals. However, it remains a challenging task to obtain fast, robust and accurate reconstruction of fluorescent probe distribution in small animals due to the large computational burden, the noisy measurement and the ill-posed nature of the inverse problem. In this paper we propose a nonuniform preconditioning method in combination with L (1) regularization and ordered subsets technique (NUMOS) to take care of the different updating needs at different pixels, to enhance sparsity and suppress noise, and to further boost convergence of approximate solutions for fluorescence molecular tomography. Using both simulated data and phantom experiment, we found that the proposed nonuniform updating method outperforms its popular uniform counterpart by obtaining a more localized, less noisy, more accurate image. The computational cost was greatly reduced as well. The ordered subset (OS) technique provided additional 5 times and 3 times speed enhancements for simulation and phantom experiments, respectively, without degrading image qualities. When compared with the popular L (1) algorithms such as iterative soft-thresholding algorithm (ISTA) and Fast iterative soft-thresholding algorithm (FISTA) algorithms, NUMOS also outperforms them by obtaining a better image in much shorter period of time.
Collapse
|
17
|
van Oosterom MN, Kreuger R, Buckle T, Mahn WA, Bunschoten A, Josephson L, van Leeuwen FW, Beekman FJ. U-SPECT-BioFluo: an integrated radionuclide, bioluminescence, and fluorescence imaging platform. EJNMMI Res 2014; 4:56. [PMID: 25386389 PMCID: PMC4209452 DOI: 10.1186/s13550-014-0056-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2014] [Accepted: 09/28/2014] [Indexed: 01/11/2023] Open
Abstract
Background In vivo bioluminescence, fluorescence, and single-photon emission computed tomography (SPECT) imaging provide complementary information about biological processes. However, to date these signatures are evaluated separately on individual preclinical systems. In this paper, we introduce a fully integrated bioluminescence-fluorescence-SPECT platform. Next to an optimization in logistics and image fusion, this integration can help improve understanding of the optical imaging (OI) results. Methods An OI module was developed for a preclinical SPECT system (U-SPECT, MILabs, Utrecht, the Netherlands). The applicability of the module for bioluminescence and fluorescence imaging was evaluated in both a phantom and in an in vivo setting using mice implanted with a 4 T1-luc + tumor. A combination of a fluorescent dye and radioactive moiety was used to directly relate the optical images of the module to the SPECT findings. Bioluminescence imaging (BLI) was compared to the localization of the fluorescence signal in the tumors. Results Both the phantom and in vivo mouse studies showed that superficial fluorescence signals could be imaged accurately. The SPECT and bioluminescence images could be used to place the fluorescence findings in perspective, e.g. by showing tracer accumulation in non-target organs such as the liver and kidneys (SPECT) and giving a semi-quantitative read-out for tumor spread (bioluminescence). Conclusions We developed a fully integrated multimodal platform that provides complementary registered imaging of bioluminescent, fluorescent, and SPECT signatures in a single scanning session with a single dose of anesthesia. In our view, integration of these modalities helps to improve data interpretation of optical findings in relation to radionuclide images.
Collapse
Affiliation(s)
- Matthias N van Oosterom
- Radiation, Detection and Medical Imaging, Delft University of Technology, Mekelweg 15, Delft, 2629, JB, the Netherlands ; Interventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Rob Kreuger
- Radiation, Detection and Medical Imaging, Delft University of Technology, Mekelweg 15, Delft, 2629, JB, the Netherlands
| | - Tessa Buckle
- Interventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Wendy A Mahn
- Radiation, Detection and Medical Imaging, Delft University of Technology, Mekelweg 15, Delft, 2629, JB, the Netherlands
| | - Anton Bunschoten
- Interventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Lee Josephson
- Centre for Translational Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Fijs Wb van Leeuwen
- Interventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Freek J Beekman
- Radiation, Detection and Medical Imaging, Delft University of Technology, Mekelweg 15, Delft, 2629, JB, the Netherlands ; MILABS, Utrecht, the Netherlands ; Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| |
Collapse
|
18
|
|
19
|
Garofalakis A, Dubois A, Thézé B, Czarny B, Tavitian B, Ducongé F. Fusion of [(18)F]FDG PET with fluorescence diffuse optical tomography to improve validation of probes and tumor imaging. Mol Imaging Biol 2014; 15:316-25. [PMID: 22927057 PMCID: PMC3647087 DOI: 10.1007/s11307-012-0581-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Purpose Given the progress of fluorescence diffuse optical tomography (fDOT) technology, here, we study the additional benefits provided by multimodal PET/fDOT imaging by comparing the biodistribution of 2-deoxy-2-[18F]fluoro-d-glucose ([18F]FDG) in tumors with three fluorescent probes: a glucose analog, a protease activatable optical probe, and a ligand of αvβ3 integrin. Procedures Sequential fDOT/PET/computed tomography (CT) imaging of mice was performed with a custom multimodal mouse support that allows the subject to be transferred between the fDOT and the PET/CT scanners. Experiments were performed in xenografted tumor models derived from the human breast cancer line MDA-MB 231 and compared to ex vivo analysis. Results The three-dimensional signals showed that the fluorescent glucose analog is not colocalized with [18F]FDG, raising questions about its use as a surrogate probe of the PET tracer. Fusion of [18F]FDG with the other fluorescent probes showed evidence of high variability both for the protease activity and the αvβ3 integrin expression during tumor growth. Conclusion The added value of hybrid PET/fDOT over the two modalities was demonstrated for cross-validation of probes and for better characterization of tumor models.
Collapse
Affiliation(s)
- Anikitos Garofalakis
- CEA, Institut d'Imagerie Biomédicale, Service Hospitalier Frédéric Joliot, Orsay Cedex, France
| | | | | | | | | | | |
Collapse
|
20
|
Darne C, Lu Y, Sevick-Muraca EM. Small animal fluorescence and bioluminescence tomography: a review of approaches, algorithms and technology update. Phys Med Biol 2013; 59:R1-64. [PMID: 24334634 DOI: 10.1088/0031-9155/59/1/r1] [Citation(s) in RCA: 108] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Emerging fluorescence and bioluminescence tomography approaches have several common, yet several distinct features from established emission tomographies of PET and SPECT. Although both nuclear and optical imaging modalities involve counting of photons, nuclear imaging techniques collect the emitted high energy (100-511 keV) photons after radioactive decay of radionuclides while optical techniques count low-energy (1.5-4.1 eV) photons that are scattered and absorbed by tissues requiring models of light transport for quantitative image reconstruction. Fluorescence imaging has been recently translated into clinic demonstrating high sensitivity, modest tissue penetration depth, and fast, millisecond image acquisition times. As a consequence, the promise of quantitative optical tomography as a complement of small animal PET and SPECT remains high. In this review, we summarize the different instrumentation, methodological approaches and schema for inverse image reconstructions for optical tomography, including luminescence and fluorescence modalities, and comment on limitations and key technological advances needed for further discovery research and translation.
Collapse
|
21
|
Nordstrom R, Cherry S, Azhdarinia A, Sevick-Muraca E, VanBrocklin H. Photons across medicine: relating optical and nuclear imaging. BIOMEDICAL OPTICS EXPRESS 2013; 4:2751-2762. [PMID: 24409377 PMCID: PMC3862159 DOI: 10.1364/boe.4.002751] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2013] [Revised: 10/22/2013] [Accepted: 10/22/2013] [Indexed: 06/03/2023]
Abstract
The Optics in the Life Sciences conference sponsored by the Optical Society of America was held in Waikoloa Beach, HI on April 14 - 18, 2013. Papers were presented in the areas of Bio-Optics: Design & Application, Novel Techniques in Microscopy, Optical Molecular Probes, Imaging & Drug Delivery, and Optical Trapping Applications. A focal point of the meeting was a special symposium entitled "Photons Across Medicine", organized by Adam Wax, Duke University, highlighting activities of joint interest between the Optical Society of America (OSA) and the Society for Nuclear Medicine and Molecular Imaging (SNMMI). This paper is a synopsis of the presentations made at this joint symposium. Central to the special symposium presentations was the fact that the optical and nuclear imaging communities share common interests and challenges. These are highlighted in this article. Also discussed was the fact that the nuclear technologies in imaging have found their way into general clinical utility, a feat that has yet to be achieved by optical methods. Because of the common ground shared by the two technologies, coordination between the two societies should be planned.
Collapse
Affiliation(s)
| | - Simon Cherry
- Department of Biomedical Engineering, University of California at Davis, Davis, CA, 95616 USA
| | - Ali Azhdarinia
- University of Texas Health and Science Center, Houston, TX, 77030 USA
| | - Eva Sevick-Muraca
- University of Texas Health and Science Center, Houston, TX, 77030 USA
| | - Henry VanBrocklin
- Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, CA, 94143 USA
| |
Collapse
|
22
|
Lewis MA, Richer E, Slavine NV, Kodibagkar VD, Soesbe TC, Antich PP, Mason RP. A Multi-Camera System for Bioluminescence Tomography in Preclinical Oncology Research. Diagnostics (Basel) 2013; 3:325-43. [PMID: 26824926 PMCID: PMC4665465 DOI: 10.3390/diagnostics3030325] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2013] [Revised: 06/13/2013] [Accepted: 06/26/2013] [Indexed: 01/11/2023] Open
Abstract
Bioluminescent imaging (BLI) of cells expressing luciferase is a valuable noninvasive technique for investigating molecular events and tumor dynamics in the living animal. Current usage is often limited to planar imaging, but tomographic imaging can enhance the usefulness of this technique in quantitative biomedical studies by allowing accurate determination of tumor size and attribution of the emitted light to a specific organ or tissue. Bioluminescence tomography based on a single camera with source rotation or mirrors to provide additional views has previously been reported. We report here in vivo studies using a novel approach with multiple rotating cameras that, when combined with image reconstruction software, provides the desired representation of point source metastases and other small lesions. Comparison with MRI validated the ability to detect lung tumor colonization in mouse lung.
Collapse
Affiliation(s)
- Matthew A Lewis
- Department of Radiology, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA.
| | - Edmond Richer
- Department of Radiology, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA.
- Department of Mechanical Engineering, Southern Methodist University, Dallas, TX 75275, USA.
| | - Nikolai V Slavine
- Department of Radiology, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA.
| | - Vikram D Kodibagkar
- Department of Radiology, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA.
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA.
| | - Todd C Soesbe
- Department of Radiology, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA.
- Advanced Imaging Research Center, UT Southwestern, Dallas, TX 75390, USA.
| | - Peter P Antich
- Department of Radiology, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA.
| | - Ralph P Mason
- Department of Radiology, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA.
| |
Collapse
|
23
|
Solomon M, Nothdruft RE, Akers W, Edwards WB, Liang K, Xu B, Suddlow GP, Deghani H, Tai YC, Eggebrecht AT, Achilefu S, Culver JP. Multimodal fluorescence-mediated tomography and SPECT/CT for small-animal imaging. J Nucl Med 2013; 54:639-46. [PMID: 23447655 DOI: 10.2967/jnumed.112.105742] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
UNLABELLED Spatial and temporal coregistration of nuclear and optical images can enable the fusion of the information from these complementary molecular imaging modalities. A critical challenge is in integrating the optical and nuclear imaging hardware. Flexible fiber-based fluorescence-mediated tomography (FMT) systems provide a viable solution. The various bore sizes of small-animal nuclear imaging systems can potentially accommodate the FMT fiber imaging arrays. In addition, FMT imaging facilitates coregistration of the nuclear and optical contrasts in time. Herein, we combine a fiber-based FMT system with a preclinical SPECT/CT platform. Feasibility of in vivo imaging is demonstrated by tracking a monomolecular multimodal imaging agent (MOMIA) during transport from the forepaw to the axillary lymph node region of a rat. METHODS The fiber-based, video-rate FMT imaging system is composed of 12 sources (785- and 830-nm laser diodes) and 13 detectors. To maintain high temporal sampling, the system simultaneously acquires ratio-metric data at each detector. A 3-dimensional finite element model derived from CT projections provides anatomically based light propagation modeling. Injection of a MOMIA intradermally into the forepaw of rats provided spatially and temporally coregistered nuclear and optical contrasts. FMT data were acquired concurrently with SPECT and CT data. The incorporation of SPECT data as a priori information in the reconstruction of FMT data integrated both optical and nuclear contrasts. RESULTS Accurate depth localization of phantoms with different thicknesses was accomplished with an average center-of-mass error of 4.1 ± 2.1 mm between FMT and SPECT measurements. During in vivo tests, fluorescence and radioactivity from the MOMIA were colocalized in spatially coincident regions with an average center-of-mass error of 2.68 ± 1.0 mm between FMT and SPECT for axillary lymph node localization. Intravital imaging with surgical exposure of the lymph node validated the localization of the optical contrast. CONCLUSION The feasibility of integrating a fiber-based, video-rate FMT system with a commercial preclinical SPECT/CT platform was established. These coregistered FMT and SPECT/CT results with MOMIAs may facilitate the development of the next generation of preclinical and clinical multimodal optical-nuclear platforms for a broad array of imaging applications and help elucidate the underlying biologic processes relevant to cancer diagnosis and therapy monitoring.
Collapse
Affiliation(s)
- Metasebya Solomon
- Department of Biomedical Engineering, Washington University, St. Louis, MO 63110, USA
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
24
|
Su X, Cheng K, Wang C, Xing L, Wu H, Cheng Z. Image-guided resection of malignant gliomas using fluorescent nanoparticles. WILEY INTERDISCIPLINARY REVIEWS-NANOMEDICINE AND NANOBIOTECHNOLOGY 2013; 5:219-32. [PMID: 23378052 DOI: 10.1002/wnan.1212] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Intraoperative fluorescence imaging especially near-infrared fluorescence (NIRF) imaging has the potential to revolutionize neurosurgery by providing high sensitivity and real-time image guidance to surgeons for defining gliomas margins. Fluorescence probes including targeted nanoprobes are expected to improve the specificity and selectivity for intraoperative fluorescence or NIRF tumor imaging. The main focus of this article is to provide a brief overview of intraoperative fluorescence imaging systems and probes including fluorescein sodium, 5-aminolevulinic acid, dye-containing nanoparticles, and targeted NIRF nanoprobes for their applications in image-guided resection of malignant gliomas. Moreover, photoacoustic imaging is a promising molecular imaging modality, and its potential applications for brain tumor imaging are also briefly discussed.
Collapse
Affiliation(s)
- Xinhui Su
- Molecular Imaging Program at Stanford (MIPS), Department of Radiology, Bio-X Program and Stanford Cancer Center, Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Stanford, CA, USA
| | | | | | | | | | | |
Collapse
|
25
|
Darne CD, Lu Y, Tan IC, Zhu B, Rasmussen JC, Smith AM, Yan S, Sevick-Muraca EM. A compact frequency-domain photon migration system for integration into commercial hybrid small animal imaging scanners for fluorescence tomography. Phys Med Biol 2012; 57:8135-52. [PMID: 23171509 DOI: 10.1088/0031-9155/57/24/8135] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The work presented herein describes the system design and performance evaluation of a miniaturized near-infrared fluorescence (NIRF) frequency-domain photon migration (FDPM) system with non-contact excitation and homodyne detection capability for small animal fluorescence tomography. The FDPM system was developed specifically for incorporation into a Siemens micro positron emission tomography/computed tomography (microPET/CT) commercial scanner for hybrid small animal imaging, but could be adapted to other systems. Operating at 100 MHz, the system noise was minimized and the associated amplitude and phase errors were characterized to be ±0.7% and ±0.3°, respectively. To demonstrate the tomographic ability, a commercial mouse-shaped phantom with 50 µM IRDye800CW and ⁶⁸Ga containing inclusion was used to associate PET and NIRF tomography. Three-dimensional mesh generation and anatomical referencing was accomplished through CT. A third-order simplified spherical harmonics approximation (SP₃) algorithm, for efficient prediction of light propagation in small animals, was tailored to incorporate the FDPM approach. Finally, the PET-NIRF target co-localization accuracy was analyzed in vivo with a dual-labeled imaging agent targeting orthotopic growth of human prostate cancer. The obtained results validate the integration of time-dependent fluorescence tomography system within a commercial microPET/CT scanner for multimodality small animal imaging.
Collapse
Affiliation(s)
- Chinmay D Darne
- Center for Molecular Imaging, The Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, 1825 Pressler Street, Houston, TX 77030, USA
| | | | | | | | | | | | | | | |
Collapse
|
26
|
Chatni MR, Xia J, Sohn R, Maslov K, Guo Z, Zhang Y, Wang K, Xia Y, Anastasio M, Arbeit J, Wang LV. Tumor glucose metabolism imaged in vivo in small animals with whole-body photoacoustic computed tomography. JOURNAL OF BIOMEDICAL OPTICS 2012; 17:076012. [PMID: 22894495 PMCID: PMC3390466 DOI: 10.1117/1.jbo.17.7.076012] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
With the increasing use of small animals for human disease studies, small-animal whole-body molecular imaging plays an important role in biomedical research. Currently, none of the existing imaging modalities can provide both anatomical and glucose molecular information, leading to higher costs of building dual-modality systems. Even with image co-registration, the spatial resolution of the molecular imaging modality is not improved. Utilizing a ring-shaped confocal photoacoustic computed tomography system, we demonstrate, for the first time, that both anatomy and glucose uptake can be imaged in a single modality. Anatomy was imaged with the endogenous hemoglobin contrast, and glucose metabolism was imaged with a near-infrared dye-labeled 2-deoxyglucose.
Collapse
Affiliation(s)
- Muhammad Rameez Chatni
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, Missouri 63130
| | - Jun Xia
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, Missouri 63130
| | - Rebecca Sohn
- Washington University in St. Louis, Urology Division, Department of Surgery, St. Louis, Missouri 63110
| | - Konstantin Maslov
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, Missouri 63130
| | - Zijian Guo
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, Missouri 63130
| | - Yu Zhang
- Georgia Institute of Technology and Emory University, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia 30332
| | - Kun Wang
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, Missouri 63130
| | - Younan Xia
- Georgia Institute of Technology and Emory University, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia 30332
| | - Mark Anastasio
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, Missouri 63130
| | - Jeffrey Arbeit
- Washington University in St. Louis, Urology Division, Department of Surgery, St. Louis, Missouri 63110
| | - Lihong V. Wang
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, Missouri 63130
- Address all correspondence to: Lihong V. Wang, Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, Missouri 63130. E-mail:
| |
Collapse
|
27
|
Tong X, Garofalakis A, Dubois A, Boisgard R, Ducongé F, Trébossen R, Tavitian B. Co-registration of glucose metabolism with positron emission tomography and vascularity with fluorescent diffuse optical tomography in mouse tumors. EJNMMI Res 2012; 2:19. [PMID: 22564761 PMCID: PMC3506556 DOI: 10.1186/2191-219x-2-19] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2011] [Accepted: 02/24/2012] [Indexed: 11/10/2022] Open
Abstract
UNLABELLED BACKGROUND Bimodal molecular imaging with fluorescence diffuse optical tomography (fDOT) and positron emission tomography (PET) has the capacity to provide multiple molecular information of mouse tumors. The objective of the present study is to co-register fDOT and PET molecular images of tumors in mice automatically. METHODS The coordinates of bimodal fiducial markers (FM) in regions of detection were automatically detected in planar optical images (x, y positions) in laser pattern optical surface images (z position) and in 3-D PET images. A transformation matrix was calculated from the coordinates of the FM in fDOT and in PET and applied in order to co-register images of mice bearing neuroendocrine tumors. RESULTS The method yielded accurate non-supervised co-registration of fDOT and PET images. The mean fiducial registration error was smaller than the respective voxel sizes for both modalities, allowing comparison of the distribution of contrast agents from both modalities in mice. Combined imaging depicting tumor metabolism with PET-[18 F]2-deoxy-2-fluoro-d-glucose and blood pool with fDOT demonstrated partial overlap of the two signals. CONCLUSIONS This automatic method for co-registration of fDOT with PET and other modalities is efficient, simple and rapid, opening up multiplexing capacities for experimental in vivo molecular imaging.
Collapse
Affiliation(s)
- Xiao Tong
- CEA, Institut d'Imagerie Biomédicale (I2BM), Service Hospitalier Frédéric Joliot (SHFJ), Laboratoire d'Imagerie Moléculaire Expérimentale, 4 place du Général Leclerc, 91401, Orsay Cedex, France.
| | | | | | | | | | | | | |
Collapse
|