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Guerraty M, Bhargava A, Senarathna J, Mendelson AA, Pathak AP. Advances in translational imaging of the microcirculation. Microcirculation 2021; 28:e12683. [PMID: 33524206 PMCID: PMC8647298 DOI: 10.1111/micc.12683] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 01/18/2021] [Accepted: 01/26/2021] [Indexed: 12/21/2022]
Abstract
The past few decades have seen an explosion in the development and use of methods for imaging the human microcirculation during health and disease. The confluence of innovative imaging technologies, affordable computing power, and economies of scale have ushered in a new era of "translational" imaging that permit us to peer into blood vessels of various organs in the human body. These imaging techniques include near-infrared spectroscopy (NIRS), positron emission tomography (PET), and magnetic resonance imaging (MRI) that are sensitive to microvascular-derived signals, as well as computed tomography (CT), optical imaging, and ultrasound (US) imaging that are capable of directly acquiring images at, or close to microvascular spatial resolution. Collectively, these imaging modalities enable us to characterize the morphological and functional changes in a tissue's microcirculation that are known to accompany the initiation and progression of numerous pathologies. Although there have been significant advances for imaging the microcirculation in preclinical models, this review focuses on developments in the assessment of the microcirculation in patients with optical imaging, NIRS, PET, US, MRI, and CT, to name a few. The goal of this review is to serve as a springboard for exploring the burgeoning role of translational imaging technologies for interrogating the structural and functional status of the microcirculation in humans, and highlight the breadth of current clinical applications. Making the human microcirculation "visible" in vivo to clinicians and researchers alike will facilitate bench-to-bedside discoveries and enhance the diagnosis and management of disease.
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Affiliation(s)
- Marie Guerraty
- Division of Cardiovascular Medicine, Department of
Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA,
USA
| | - Akanksha Bhargava
- Russell H. Morgan Department of Radiology and Radiological
Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Janaka Senarathna
- Russell H. Morgan Department of Radiology and Radiological
Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Asher A. Mendelson
- Department of Medicine, Section of Critical Care, Rady
Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Arvind P. Pathak
- Russell H. Morgan Department of Radiology and Radiological
Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Biomedical Engineering, The Johns Hopkins
University School of Medicine, Baltimore, MD, USA
- Department of Electrical Engineering, Johns Hopkins
University, Baltimore, MD, USA
- Sidney Kimmel Comprehensive Cancer Center, The Johns
Hopkins University School of Medicine, Baltimore, MD, USA
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2
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Li S, Huang K, Zhang M, Uddin KMS, Zhu Q. Effect and correction of optode coupling errors in breast imaging using diffuse optical tomography. BIOMEDICAL OPTICS EXPRESS 2021; 12:689-704. [PMID: 33680536 PMCID: PMC7901340 DOI: 10.1364/boe.411595] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 11/27/2020] [Accepted: 12/08/2020] [Indexed: 05/18/2023]
Abstract
In diffuse optical tomography (DOT) and spectroscopy (DOS) using handheld probes, tissue curvature can cause bad fiber-to-tissue contact. Understanding and minimizing image artifacts caused by these coupling errors would significantly improve DOT and DOS image quality. In this work, we utilized Monte Carlo simulations and experiments with gelatin-Intralipid phantoms to systematically study the influence of source or detector (optode) coupling errors. Optode coupling errors can increase the amplitude and decrease the phase of the measured diffuse reflectance, creating artifacts in the reconstructed absorption maps, such as hot spots on the edges. We propose an outlier removal algorithm that can correct these image artifacts, and we demonstrate its performance using simulations, phantom experiments, and breast patient data acquired with bad probe contact due to a dense or small breast. Further, we designed and implemented a new resistance-type thin-film force sensor array that provides real-time optode coupling feedback and guides the outlier removal to minimize optode coupling errors. Our approaches and study results have significant implications for reducing image artifacts arising from handheld probes, which are commonly used with mobile and wearable DOT and DOS devices.
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Affiliation(s)
- Shuying Li
- Department of Biomedical Engineering,
Washington University in St. Louis, 1 Brookings Dr, St. Louis 63130,
USA
| | - Kexin Huang
- Department of Biomedical Engineering,
Washington University in St. Louis, 1 Brookings Dr, St. Louis 63130,
USA
| | - Menghao Zhang
- Department of Electrical and Systems
Engineering, Washington University in St. Louis, 1 Brookings Dr, St.
Louis 63130, USA
| | - K. M. Shihab Uddin
- Department of Biomedical Engineering,
Washington University in St. Louis, 1 Brookings Dr, St. Louis 63130,
USA
| | - Quing Zhu
- Department of Biomedical Engineering,
Washington University in St. Louis, 1 Brookings Dr, St. Louis 63130,
USA
- Department of Radiology, Washington
University School of Medicine, 660 S Euclid Ave, St. Louis 63110,
USA
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3
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Vairavan R, Abdullah O, Retnasamy PB, Sauli Z, Shahimin MM, Retnasamy V. A Brief Review on Breast Carcinoma and Deliberation on Current Non Invasive Imaging Techniques for Detection. Curr Med Imaging 2020; 15:85-121. [PMID: 31975658 DOI: 10.2174/1573405613666170912115617] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 08/27/2017] [Accepted: 08/29/2017] [Indexed: 12/22/2022]
Abstract
BACKGROUND Breast carcinoma is a life threatening disease that accounts for 25.1% of all carcinoma among women worldwide. Early detection of the disease enhances the chance for survival. DISCUSSION This paper presents comprehensive report on breast carcinoma disease and its modalities available for detection and diagnosis, as it delves into the screening and detection modalities with special focus placed on the non-invasive techniques and its recent advancement work done, as well as a proposal on a novel method for the application of early breast carcinoma detection. CONCLUSION This paper aims to serve as a foundation guidance for the reader to attain bird's eye understanding on breast carcinoma disease and its current non-invasive modalities.
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Affiliation(s)
- Rajendaran Vairavan
- School of Microelectronic Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau, Perlis, Malaysia
| | - Othman Abdullah
- Hospital Sultan Abdul Halim, 08000 Sg. Petani, Kedah, Malaysia
| | | | - Zaliman Sauli
- School of Microelectronic Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau, Perlis, Malaysia
| | - Mukhzeer Mohamad Shahimin
- Department of Electrical and Electronic Engineering, Faculty of Engineering, National Defence University of Malaysia (UPNM), Kem Sungai Besi, 57000 Kuala Lumpur, Malaysia
| | - Vithyacharan Retnasamy
- School of Microelectronic Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau, Perlis, Malaysia
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4
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Cochran JM, Busch DR, Lin L, Minkoff DL, Schweiger M, Arridge S, Yodh AG. Hybrid time-domain and continuous-wave diffuse optical tomography instrument with concurrent, clinical magnetic resonance imaging for breast cancer imaging. JOURNAL OF BIOMEDICAL OPTICS 2019; 24:1-11. [PMID: 30680976 PMCID: PMC6345326 DOI: 10.1117/1.jbo.24.5.051409] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Accepted: 12/10/2018] [Indexed: 05/10/2023]
Abstract
Diffuse optical tomography has demonstrated significant potential for clinical utility in the diagnosis and prognosis of breast cancer, and its use in combination with other structural imaging modalities improves lesion localization and the quantification of functional tissue properties. Here, we introduce a hybrid diffuse optical imaging system that operates concurrently with magnetic resonance imaging (MRI) in the imaging suite, utilizing commercially available MR surface coils. The instrument acquires both continuous-wave and time-domain diffuse optical data in the parallel-plate geometry, permitting both absolute assignment of tissue optical properties and three-dimensional tomography; moreover, the instrument is designed to incorporate diffuse correlation spectroscopic measurements for probing tissue blood flow. The instrument is described in detail here. Image reconstructions of a tissue phantom are presented as an initial indicator of the system's ability to accurately reconstruct optical properties and the concrete benefits of the spatial constraints provided by concurrent MRI. Last, we briefly discuss how various data combinations that the instrument could facilitate, including tissue perfusion, can enable more comprehensive assessment of lesion physiology.
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Affiliation(s)
- Jeffrey M. Cochran
- University of Pennsylvania, Department of Physics and Astronomy, Philadelphia, Pennsylvania, United States
- Address all correspondence to Jeffrey M. Cochran, E-mail:
| | - David R. Busch
- University of Pennsylvania, Department of Physics and Astronomy, Philadelphia, Pennsylvania, United States
- University of Texas Southwestern Medical Center, Department of Anesthesiology and Pain Management, Dallas, Texas, United States
- University of Texas Southwestern Medical Center, Department of Neurology and Neurotherapeutics, Dallas, Texas, United States
- Children’s Hospital of Philadelphia, Department of Neurology, Philadelphia, Pennsylvania, United States
| | - Li Lin
- University of Pennsylvania, Department of Physics and Astronomy, Philadelphia, Pennsylvania, United States
- California Institute of Technology, Department of Medical Engineering, Pasadena, California, United States
| | - David L. Minkoff
- Emory University, Department of Medicine, Atlanta, Georgia, United States
| | - Martin Schweiger
- University College London, Centre for Medical Image Computing, London, United Kigdom
| | - Simon Arridge
- University College London, Centre for Medical Image Computing, London, United Kigdom
| | - Arjun G. Yodh
- University of Pennsylvania, Department of Physics and Astronomy, Philadelphia, Pennsylvania, United States
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5
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Feng J, Xu J, Jiang S, Yin H, Zhao Y, Gui J, Wang K, Lv X, Ren F, Pogue BW, Paulsen KD. Addition of T2-guided optical tomography improves noncontrast breast magnetic resonance imaging diagnosis. Breast Cancer Res 2017; 19:117. [PMID: 29065920 PMCID: PMC5655871 DOI: 10.1186/s13058-017-0902-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Accepted: 09/18/2017] [Indexed: 11/10/2022] Open
Abstract
Background While dynamic contrast-enhanced magnetic resonance imaging (DCE MRI) is recognized as the most sensitive examination for breast cancer detection, it has a substantial false positive rate and gadolinium (Gd) contrast agents are not universally well tolerated. As a result, alternatives to diagnosing breast cancer based on endogenous contrast are of growing interest. In this study, endogenous near-infrared spectral tomography (NIRST) guided by T2 MRI was evaluated to explore whether the combined imaging modality, which does not require contrast injection or involve ionizing radiation, can achieve acceptable diagnostic performance. Methods Twenty-four subjects—16 with pathologically confirmed malignancy and 8 with benign abnormalities—were simultaneously imaged with MRI and NIRST prior to definitive pathological diagnosis. MRIs were evaluated independently by three breast radiologists blinded to the pathological results. Optical image reconstructions were constrained by grayscale values in the T2 MRI. MRI and NIRST images were used, alone and in combination, to estimate the diagnostic performance of the data. Outcomes were compared to DCE results. Results Sensitivity, specificity, accuracy, and area under the curve (AUC) of noncontrast MRI when combined with T2-guided NIRST were 94%, 100%, 96%, and 0.95, respectively, whereas these values were 94%, 63%, 88%, and 0.81 for DCE MRI alone, and 88%, 88%, 88%, and 0.94 when DCE-guided NIRST was added. Conclusion In this study, the overall accuracy of imaging diagnosis improved to 96% when T2-guided NIRST was added to noncontrast MRI alone, relative to 88% for DCE MRI, suggesting that similar or better diagnostic accuracy can be achieved without requiring a contrast agent. Electronic supplementary material The online version of this article (doi:10.1186/s13058-017-0902-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jinchao Feng
- Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA.,Information Technology of Faculty, Beijing University of Technology, Beijing, 100124, China
| | - Junqing Xu
- Department of Radiology, Xijing Hospital, Xi'an, 710032, China
| | - Shudong Jiang
- Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA
| | - Hong Yin
- Department of Radiology, Xijing Hospital, Xi'an, 710032, China.
| | - Yan Zhao
- Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA
| | - Jiang Gui
- Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, 03755, USA
| | - Ke Wang
- Department of Radiology, Xijing Hospital, Xi'an, 710032, China
| | - Xiuhua Lv
- Department of Radiology, Xijing Hospital, Xi'an, 710032, China
| | - Fang Ren
- Department of Radiology, Xijing Hospital, Xi'an, 710032, China
| | - Brian W Pogue
- Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA
| | - Keith D Paulsen
- Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA.
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6
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RUIZ JESSICA, NOUIZI FAROUK, CHO JAEDU, ZHENG JIE, LI YIFAN, CHEN JEONHOR, SU MINYING, GULSEN GULTEKIN. Breast density quantification using structured-light-based diffuse optical tomography simulations. APPLIED OPTICS 2017; 56:7146-7157. [PMID: 29047975 PMCID: PMC6691974 DOI: 10.1364/ao.56.007146] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
We present the feasibility of structured-light-based diffuse optical tomography (DOT) to quantify the breast density with an extensive simulation study. This study is performed on multiple numerical breast phantoms built from magnetic resonance imaging (MRI) images. These phantoms represent realistic tissue morphologies and are given typical breast optical properties. First, synthetic data are simulated at five wavelengths using our structured-light-based DOT forward problem. Afterwards, the inverse problem is solved to obtain the absorption images and subsequently the chromophore concentration maps. Parameters, such as segmented volumes and mean concentrations, are extracted from these maps and used in a regression model to estimate the percent breast densities. These estimations are correlated with the true values from MRI, r=0.97, showing that our new technique is promising in measuring breast density.
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Affiliation(s)
- JESSICA RUIZ
- Tu & Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
- Corresponding author:
| | - FAROUK NOUIZI
- Tu & Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
| | - JAEDU CHO
- Tu & Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
| | - JIE ZHENG
- Tu & Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
| | - YIFAN LI
- Tu & Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
| | - JEON-HOR CHEN
- Tu & Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
- E-Da Hospital and I-Shou University, Kaohsiung, Taiwan
| | - MIN-YING SU
- Tu & Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
| | - GULTEKIN GULSEN
- Tu & Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
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7
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Nakase H, Sakuma S, Fukuchi T, Yoshino T, Mohri K, Miyata K, Kumagai H, Hiwatari KI, Tsubaki K, Ikejima T, Tobita E, Zhu M, Wilson KJ, Washington K, Gore JC, Pham W. Evaluation of a novel fluorescent nanobeacon for targeted imaging of Thomsen-Friedenreich associated colorectal cancer. Int J Nanomedicine 2017; 12:1747-1755. [PMID: 28280339 PMCID: PMC5340240 DOI: 10.2147/ijn.s124174] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
The Thomsen-Friedenreich (TF) antigen represents a prognostic biomarker of colorectal carcinoma. Here, using a nanobeacon, the surface of which was fabricated with peanut agglutinin as TF-binding molecules, we demonstrate that the nanobeacon is able to detect TF antigen in frozen and freshly biopsied polyps using fluorescence microscopy. Our results provide important clues about how to detect aberrant colonic tissues in the most timely fashion. Given the versatile application method for this topical nanobeacon, the protocol used in this work is amenable to clinical colonoscopy. Moreover, the prospects of clinical translation of this technology are evident.
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Affiliation(s)
- Hiroshi Nakase
- Division of Endoscopy, Kyoto University Hospital, Kyoto, Japan; Department of Gastroenterology and Hepatology, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, Japan
| | - Shinji Sakuma
- Faculty of Pharmaceutical Sciences, Setsunan University, Hirakata, Osaka, Japan
| | - Takumi Fukuchi
- Gastroenterology and Hepatology, Osakafu Saiseikai Nakatsu Hospital, Osaka, Japan
| | - Takuya Yoshino
- Division of Endoscopy, Kyoto University Hospital, Kyoto, Japan; Division of Inflammatory Bowel Disease, Digestive Disease Center, Kitano Hospital, Osaka, Japan
| | - Kohta Mohri
- Faculty of Pharmaceutical Sciences, Setsunan University, Hirakata, Osaka, Japan
| | - Kohei Miyata
- Faculty of Pharmaceutical Sciences, Setsunan University, Hirakata, Osaka, Japan; Advanced Materials R&D Laboratory, ADEKA Corp., Tokyo, Japan
| | | | | | | | - Tetsuya Ikejima
- Advanced Materials R&D Laboratory, ADEKA Corp., Tokyo, Japan
| | - Etsuo Tobita
- Advanced Materials R&D Laboratory, ADEKA Corp., Tokyo, Japan
| | - Meiying Zhu
- Department of Radiology, Vanderbilt University Institute of Imaging Science
| | - Kevin J Wilson
- Department of Radiology, Vanderbilt University Institute of Imaging Science
| | - Kay Washington
- Division of Gastrointestinal and Hepatic Pathology, Vanderbilt School of Medicine
| | - John C Gore
- Department of Radiology, Vanderbilt University Institute of Imaging Science; Department of Radiology and Radiological Sciences; Department of Biomedical Engineering; Vanderbilt Ingram Cancer Center, Vanderbilt School of Medicine; Vanderbilt Brain Institute; Molecular Physiology and Biophysics
| | - Wellington Pham
- Department of Radiology, Vanderbilt University Institute of Imaging Science; Department of Radiology and Radiological Sciences; Department of Biomedical Engineering; Vanderbilt Ingram Cancer Center, Vanderbilt School of Medicine; Vanderbilt Brain Institute; Molecular Physiology and Biophysics; Vanderbilt Institute of Chemical Biology, Vanderbilt University, Nashville, TN, USA
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8
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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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9
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Zhang L, Zhao Y, Jiang S, Pogue BW, Paulsen KD. Direct regularization from co-registered anatomical images for MRI-guided near-infrared spectral tomographic image reconstruction. BIOMEDICAL OPTICS EXPRESS 2015; 6:3618-30. [PMID: 26417528 PMCID: PMC4574684 DOI: 10.1364/boe.6.003618] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Revised: 07/16/2015] [Accepted: 08/17/2015] [Indexed: 05/18/2023]
Abstract
Combining anatomical information from high resolution imaging modalities to guide near-infrared spectral tomography (NIRST) is an efficient strategy for improving the quality of the reconstructed spectral images. A new approach for incorporating image information directly into the inversion matrix regularization was examined using Direct Regularization from Images (DRI), which encodes the gray-scale data into the NIRST image reconstruction problem. This process has the benefit of eliminating user intervention such as image segmentation of distinct regions. Specifically, the Dynamic Contrast Enhanced Magnetic Resonance (DCE-MR) image intensity value differences within the anatomical image were used to implement an exponentially-weighted regularization function between the image pixels. The algorithm was validated using simulated reconstructions with noise, and the results showed that spatial resolution and robustness of the reconstructed images were significantly improved by appropriate choice of the regularization weight parameters. The proposed approach was also tested on in vivo breast data acquired in a recent clinical trial combining NIRST / MRI for cancer tumor characterization. Relative to the standard "no priors" diffuse recovery, the contrast of the tumor to the normal surrounding tissue increased from 2.4 to 3.6, and the difference between the tumor size segmented from DCE-MR images and reconstructed optical images decreased from 18% to 6%, while there was an overall decrease in surface artifacts.
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Affiliation(s)
- Limin Zhang
- Thayer School of Engineering, Dartmouth College, Hanover NH 03755, USA ; College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China ; Tianjin Key Laboratory of Biomedical Detecting Techniques and Instrument, Tianjin 300072, China
| | - Yan Zhao
- Thayer School of Engineering, Dartmouth College, Hanover NH 03755, USA
| | - Shudong Jiang
- Thayer School of Engineering, Dartmouth College, Hanover NH 03755, 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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10
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Mastanduno MA, Xu J, El-Ghussein F, Jiang S, Yin H, Zhao Y, Wang K, Ren F, Gui J, Pogue BW, Paulsen KD. MR-Guided Near-Infrared Spectral Tomography Increases Diagnostic Performance of Breast MRI. Clin Cancer Res 2015; 21:3906-12. [PMID: 26019171 DOI: 10.1158/1078-0432.ccr-14-2546] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2014] [Accepted: 05/11/2015] [Indexed: 11/16/2022]
Abstract
PURPOSE The purpose of this study was to determine the diagnostically most important molecular biomarkers quantified by magnetic resonance-guided (MR) near-infrared spectral tomography (NIRST) that distinguish malignant breast lesions from benign abnormalities when combined with outcomes from clinical breast MRI. EXPERIMENTAL DESIGN The study was HIPAA compliant and approved by the Dartmouth Institutional Review Board, the NIH, the United States State Department, and Xijing Hospital. MR-guided NIRST evaluated hemoglobin, water, and lipid content in regions of interest defined by concurrent dynamic contrast-enhanced MRI (DCE-MRI) in the breast. MRI plus NIRST was performed in 44 subjects (median age, 46, age range, 20-81 years), 28 of whom had subsequent malignant pathologic diagnoses, and 16 had benign conditions. A subset of 30 subject examinations yielded optical data that met minimum sensitivity requirements to the suspicious lesion and were included in the analyses of diagnostic performance. RESULTS In the subset of 30 subject examinations meeting minimum optical data sensitivity criterion, the MR-guided NIRST separated malignant from benign lesions using total hemoglobin (HbT; P < 0.01) and tissue optical index (TOI; P < 0.001). Combined MRI plus TOI data caused one false positive and 1 false negative, and produced the best diagnostic performance, yielding an AUC of 0.95, sensitivity of 95%, specificity of 89%, positive predictive value of 95%, and negative predictive value of 89%, respectively. CONCLUSIONS MRI plus NIRST results correlated well with histopathologic diagnoses and could provide additional information to reduce the number of MRI-directed biopsies.
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Affiliation(s)
| | - Junqing Xu
- Department of Radiology, Xijing Hospital, Xi'an, China
| | - Fadi El-Ghussein
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire
| | - Shudong Jiang
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire
| | - Hong Yin
- Department of Radiology, Xijing Hospital, Xi'an, China.
| | - Yan Zhao
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire
| | - Ke Wang
- Department of Radiology, Xijing Hospital, Xi'an, China
| | - Fang Ren
- Department of Radiology, Xijing Hospital, Xi'an, China
| | - Jiang Gui
- Department of Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire
| | - Brian W Pogue
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire
| | - Keith D Paulsen
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire. Department of Diagnostic Radiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.
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11
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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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12
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Mastanduno MA, Xu J, El-Ghussein F, Jiang S, Yin H, Zhao Y, Michaelson KE, Wang K, Ren F, Pogue BW, Paulsen KD. Sensitivity of MRI-guided near-infrared spectroscopy clinical breast exam data and its impact on diagnostic performance. BIOMEDICAL OPTICS EXPRESS 2014; 5:3103-15. [PMID: 25401024 PMCID: PMC4230863 DOI: 10.1364/boe.5.003103] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2014] [Revised: 08/08/2014] [Accepted: 08/08/2014] [Indexed: 05/13/2023]
Abstract
In this study, data from breast MRI-guided near infrared spectroscopy (NIRS) exams delivered to 44 patients scheduled for surgical resection (ending in 16 benign and 28 malignant diagnoses) were analyzed using a spatial sensitivity metric to quantify the adequacy of the optical measurements for interrogating the tumor region of interest, as derived from the concurrent MRI scan. Along with positional sensitivity, the incorporation of spectral priors and the selection of an appropriate regularization parameter in the image reconstruction were considered, and found to influence the diagnostic accuracy of the recovered images. Once optimized, the MRI/NIRS data was able to differentiate the malignant from benign lesions through both total hemoglobin (p = 0.0037) and tissue optical index (p = 0.00019), but required the relative spatial sensitivity of the optical measurement data to each lesion to be above 1%. Spectral constraints implemented during the reconstruction were required to obtain statistically significant diagnostic information from images of H2O, lipids, and Tissue Optical Index (TOI). These results confirm the need for optical systems that have homogenous spatial coverage of the breast while still being able to accommodate the normal range of breast sizes.
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Affiliation(s)
- Michael A. Mastanduno
- Thayer School of Engineering, Dartmouth College, Hanover NH 03755 USA
- Authors contributed equally to the work
| | - Junqing Xu
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xian, 710032 China
- Authors contributed equally to the work
| | - Fadi El-Ghussein
- Thayer School of Engineering, Dartmouth College, Hanover NH 03755 USA
| | - Shudong Jiang
- Thayer School of Engineering, Dartmouth College, Hanover NH 03755 USA
| | - Hong Yin
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xian, 710032 China
| | - Yan Zhao
- Thayer School of Engineering, Dartmouth College, Hanover NH 03755 USA
| | | | - Ke Wang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xian, 710032 China
| | - Fang Ren
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xian, 710032 China
| | - 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
- Department of Diagnostic Radiology, Geisel School of Medicine, Dartmouth College, Hanover, NH03755 USA
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13
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Pogue BW, Busch D, Li LZ, Zhang H, Shieh DB. Introduction to the special issue: Britton Chance 100th commemorative. Acad Radiol 2014; 21:137-8. [PMID: 24439326 DOI: 10.1016/j.acra.2013.11.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2013] [Revised: 11/26/2013] [Accepted: 11/26/2013] [Indexed: 01/04/2023]
Affiliation(s)
- Brian W Pogue
- Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH 03755.
| | - David Busch
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA; Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA
| | - Lin Z Li
- University of Pennsylvania, Philadelphia, PA
| | - Huiming Zhang
- Division of Cancer Diagnosis and Treatment, National Cancer Institute, Bethesda, MD
| | - Dar-Bin Shieh
- College of Medicine, National Cheng Kung University, Tainan, Taiwan
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14
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El-Ghussein F, Mastanduno MA, Jiang S, Pogue BW, Paulsen KD. Hybrid photomultiplier tube and photodiode parallel detection array for wideband optical spectroscopy of the breast guided by magnetic resonance imaging. JOURNAL OF BIOMEDICAL OPTICS 2014; 19:011010. [PMID: 23979460 PMCID: PMC3909491 DOI: 10.1117/1.jbo.19.1.011010] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2013] [Revised: 06/25/2013] [Accepted: 07/22/2013] [Indexed: 05/18/2023]
Abstract
A new optical parallel detection system of hybrid frequency and continuous-wave domains was developed to improve the data quality and accuracy in recovery of all breast optical properties. This new system was deployed in a previously existing system for magnetic resonance imaging (MRI)-guided spectroscopy, and allows incorporation of additional near-infrared wavelengths beyond 850 nm, with interlaced channels of photomultiplier tubes (PMTs) and silicon photodiodes (PDs). The acquisition time for obtaining frequency-domain data at six wavelengths (660, 735, 785, 808, 826, and 849 nm) and continuous-wave data at three wavelengths (903, 912, and 948 nm) is 12 min. The dynamic ranges of the detected signal are 105 and 106 for PMT and PD detectors, respectively. Compared to the previous detection system, the SNR ratio of frequency-domain detection was improved by nearly 103 through the addition of an RF amplifier and the utilization of programmable gain. The current system is being utilized in a clinical trial imaging suspected breast cancer tumors as detected by contrast MRI scans.
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Affiliation(s)
- Fadi El-Ghussein
- Dartmouth College, Thayer School of Engineering, Hanover, NH 03755, USA.
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15
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El-Ghussein F, Jiang S, Pogue BW, Paulsen KD. Comparison of magnetic resonance imaging-compatible optical detectors for in-magnet tissue spectroscopy: photodiodes versus silicon photomultipliers. JOURNAL OF BIOMEDICAL OPTICS 2014; 19:070502. [PMID: 25006986 PMCID: PMC4160972 DOI: 10.1117/1.jbo.19.7.070502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2014] [Revised: 06/12/2014] [Accepted: 06/16/2014] [Indexed: 06/03/2023]
Abstract
Tissue spectroscopy inside the magnetic resonance imaging (MRI) system adds a significant value by measuring fast vascular hemoglobin responses or completing spectroscopic identification of diagnostically relevant molecules. Advances in this type of spectroscopy instrumentation have largely focused on fiber coupling into and out of the MRI; however, nonmagnetic detectors can now be placed inside the scanner with signal amplification performed remotely to the high field environment for optimized light detection. In this study, the two possible detector options, such as silicon photodiodes (PD) and silicon photomultipliers (SiPM), were systematically examined for dynamic range and wavelength performance. Results show that PDs offer 10⁸(160 dB) dynamic range with sensitivity down to 1 pW, whereas SiPMs have 10⁷(140 dB) dynamic range and sensitivity down to 10 pW. A second major difference is the spectral sensitivity of the two detectors. Here, wavelengths in the 940 nm range are efficiently captured by PDs (but not SiPMs), likely making them the superior choice for broadband spectroscopy guided by MRI.
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Affiliation(s)
- Fadi El-Ghussein
- 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
| | - 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
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