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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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Pinkert MA, Salkowski LR, Keely PJ, Hall TJ, Block WF, Eliceiri KW. Review of quantitative multiscale imaging of breast cancer. J Med Imaging (Bellingham) 2018; 5:010901. [PMID: 29392158 PMCID: PMC5777512 DOI: 10.1117/1.jmi.5.1.010901] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2017] [Accepted: 12/19/2017] [Indexed: 12/12/2022] Open
Abstract
Breast cancer is the most common cancer among women worldwide and ranks second in terms of overall cancer deaths. One of the difficulties associated with treating breast cancer is that it is a heterogeneous disease with variations in benign and pathologic tissue composition, which contributes to disease development, progression, and treatment response. Many of these phenotypes are uncharacterized and their presence is difficult to detect, in part due to the sparsity of methods to correlate information between the cellular microscale and the whole-breast macroscale. Quantitative multiscale imaging of the breast is an emerging field concerned with the development of imaging technology that can characterize anatomic, functional, and molecular information across different resolutions and fields of view. It involves a diverse collection of imaging modalities, which touch large sections of the breast imaging research community. Prospective studies have shown promising results, but there are several challenges, ranging from basic physics and engineering to data processing and quantification, that must be met to bring the field to maturity. This paper presents some of the challenges that investigators face, reviews currently used multiscale imaging methods for preclinical imaging, and discusses the potential of these methods for clinical breast imaging.
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Affiliation(s)
- Michael A. Pinkert
- Morgridge Institute for Research, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Laboratory for Optical and Computational Instrumentation, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Medical Physics, Madison, Wisconsin, United States
| | - Lonie R. Salkowski
- University of Wisconsin–Madison, Department of Medical Physics, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Radiology, Madison, Wisconsin, United States
| | - Patricia J. Keely
- University of Wisconsin–Madison, Department of Cell and Regenerative Biology, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | - Timothy J. Hall
- University of Wisconsin–Madison, Department of Medical Physics, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | - Walter F. Block
- University of Wisconsin–Madison, Department of Medical Physics, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Radiology, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | - Kevin W. Eliceiri
- Morgridge Institute for Research, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Laboratory for Optical and Computational Instrumentation, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Medical Physics, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
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Uddin KMS, Mostafa A, Anastasio M, Zhu Q. Two step imaging reconstruction using truncated pseudoinverse as a preliminary estimate in ultrasound guided diffuse optical tomography. BIOMEDICAL OPTICS EXPRESS 2017; 8:5437-5449. [PMID: 29296479 PMCID: PMC5745094 DOI: 10.1364/boe.8.005437] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2017] [Revised: 10/15/2017] [Accepted: 10/19/2017] [Indexed: 05/18/2023]
Abstract
Due to the correlated nature of diffused light, the problem of reconstructing optical properties using diffuse optical tomography (DOT) is ill-posed. US-, MRI- or x-ray-guided DOT approaches can reduce the total number of parameters to be estimated and improve optical reconstruction accuracy. However, when the target volume is large, the number of parameters to estimate can exceed the number of measurements, resulting in an underdetermined imaging model. In such cases, accurate image reconstruction is difficult and regularization methods should be employed to obtain a useful solution. In this manuscript, a simple two-step reconstruction method that can produce useful image estimates in DOT is proposed and investigated. In the first step, a truncated Moore-Penrose Pseudoinverse solution is computed to obtain a preliminary estimate of the image that can be reliably determined from the measured data; subsequently, this preliminary estimate is incorporated into the design of a penalized least squares estimator that is employed to compute the final image estimate. By use of phantom data, the proposed method was demonstrated to yield more accurate images than those produced by conventional reconstruction methods. The method was also evaluated with clinical data that included 10 benign and 10 malignant cases. The capability of reconstructing high contrast malignant lesions was demonstrated to be improved by use of the proposed method.
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Althobaiti M, Vavadi H, Zhu Q. Diffuse optical tomography reconstruction method using ultrasound images as prior for regularization matrix. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:26002. [PMID: 28152129 PMCID: PMC5299136 DOI: 10.1117/1.jbo.22.2.026002] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Accepted: 01/12/2017] [Indexed: 05/05/2023]
Abstract
Ultrasound-guided diffuse optical tomography (DOT) is a promising imaging technique that maps hemoglobin concentrations of breast lesions to assist ultrasound (US) for cancer diagnosis and treatment monitoring. The accurate recovery of breast lesion optical properties requires an effective image reconstruction method. We introduce a reconstruction approach in which US images are encoded as prior information for regularization of the inversion matrix. The framework of this approach is based on image reconstruction package “NIRFAST.” We compare this approach to the US-guided dual-zone mesh reconstruction method, which is based on Born approximation and conjugate gradient optimization developed in our laboratory. Results were evaluated using phantoms and clinical data. This method improves classification of malignant and benign lesions by increasing malignant to benign lesion absorption contrast. The results also show improvements in reconstructed lesion shapes and the spatial distribution of absorption maps.
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Affiliation(s)
- Murad Althobaiti
- University of Connecticut, Department of Biomedical Engineering, Storrs, Connecticut, United States
| | - Hamed Vavadi
- University of Connecticut, Department of Biomedical Engineering, Storrs, Connecticut, United States
| | - Quing Zhu
- Washington University in St. Louis, Department of Biomedical Engineering, Missouri, United States
- Address all correspondence to: Quing Zhu, E-mail:
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Kim MJ, Su MY, Yu HJ, Chen JH, Kim EK, Moon HJ, Choi JS. US-localized diffuse optical tomography in breast cancer: comparison with pharmacokinetic parameters of DCE-MRI and with pathologic biomarkers. BMC Cancer 2016; 16:50. [PMID: 26833069 PMCID: PMC4736271 DOI: 10.1186/s12885-016-2086-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Accepted: 01/27/2016] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND To correlate parameters of Ultrasonography-guided Diffuse optical tomography (US-DOT) with pharmacokinetic features of Dynamic contrast-enhanced (DCE)-MRI and pathologic markers of breast cancer. METHODS Our institutional review board approved this retrospective study and waived the requirement for informed consent. Thirty seven breast cancer patients received US-DOT and DCE-MRI with less than two weeks in between imaging sessions. The maximal total hemoglobin concentration (THC) measured by US-DOT was correlated with DCE-MRI pharmacokinetic parameters, which included K(trans), k ep and signal enhancement ratio (SER). These imaging parameters were also correlated with the pathologic biomarkers of breast cancer. RESULTS The parameters THC and SER showed marginal positive correlation (r = 0.303, p = 0.058). Tumors with high histological grade, negative ER, and higher Ki-67 expression ≥ 20% showed statistically higher THC values compared to their counterparts (p = 0.019, 0.041, and 0.023 respectively). Triple-negative (TN) breast cancers showed statistically higher K(trans) values than non-TN cancers (p = 0.048). CONCLUSION THC obtained from US-DOT and K(trans) obtained from DCE-MRI were associated with biomarkers indicative of a higher aggressiveness in breast cancer. Although US-DOT and DCE-MRI both measured the vascular properties of breast cancer, parameters from the two imaging modalities showed a weak association presumably due to their different contrast mechanisms and depth sensitivities.
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Affiliation(s)
- Min Jung Kim
- Department of Radiology, Breast Cancer Clinic, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, South Korea. .,Department of Radiological Sciences, University of California, Irvine, CA, USA.
| | - Min-Ying Su
- Department of Radiological Sciences, University of California, Irvine, CA, USA.
| | - Hon J Yu
- Department of Radiological Sciences, University of California, Irvine, CA, USA.
| | - Jeon-Hor Chen
- Department of Radiological Sciences, University of California, Irvine, CA, USA. .,Department of Radiology, Eda Hospital and I-Shou University, Kaohsiung, Taiwan.
| | - Eun-Kyung Kim
- Department of Radiology, Breast Cancer Clinic, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, South Korea.
| | - Hee Jung Moon
- Department of Radiology, Breast Cancer Clinic, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, South Korea.
| | - Ji Soo Choi
- Department of Radiology, Breast Cancer Clinic, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, South Korea. .,Department of Radiology, Samsung Medical Center, Seoul, Korea.
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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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La Yun B, Kim SM, Jang M, Ahn HS, Lyou CY, Kim MS, Kim SA, Song TK, Yoo Y, Chang JH, Kim Y. Does adding diffuse optical tomography to sonography improve differentiation between benign and malignant breast lesions? Observer performance study. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2015; 34:749-757. [PMID: 25911706 DOI: 10.7863/ultra.34.5.749] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
OBJECTIVES The purpose of this study was to investigate the added value of diffuse optical tomographic categories combined with conventional sonography for differentiating between benign and malignant breast lesions. METHODS In this retrospective database review, we included 145 breast lesions (116 benign and 29 malignant) from 145 women (mean age, 46 years; range, 16-86 years). Five radiologists independently reviewed sonograms with and without a diffuse optical tomographic category. Each lesion was scored on a scale of 0% to 100% for suspicion of malignancy and rated according to the American College of Radiology Breast Imaging Reporting and Data System classification. Diagnostic performance was analyzed by comparing area under receiver operating characteristic curve values. Reader agreement was assessed by intraclass correlation coefficients. RESULTS In the multireader multicase receiver operating characteristic analysis, adding a diffuse optical tomographic category to sonography improved the diagnostic accuracy of sonography (mean areas under the curve, 0.923 for sonography alone and 0.969 for sonography with diffuse optical tomography; P = .039). The interobserver correlation was also improved (0.798 for sonography alone and 0.904 for sonography with diffuse optical tomography). The specificity increased for 4 reviewers from a mean of 19.5% to 45.8% (P < .001 for reviewers 1-4; P = .238 for reviewer 5) with no significant change in the sensitivity. When the diffuse optical tomographic category was applied strictly, the specificity increased for all reviewers from a mean of 19.5% to 68.3% (P < .001 for all reviewers) with no significant change in the sensitivity. CONCLUSIONS The addition of diffuse optical tomographic categories to sonography may improve diagnostic performance and markedly decrease false-positive biopsy recommendations.
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Affiliation(s)
- Bo La Yun
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
| | - Sun Mi Kim
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.).
| | - Mijung Jang
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
| | - Hye Shin Ahn
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
| | - Chae Yeon Lyou
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
| | - Mi Sun Kim
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
| | - Sun Ah Kim
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
| | - Tai-Kyong Song
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
| | - Yangmo Yoo
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
| | - Jin Ho Chang
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
| | - Youngmi Kim
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (B.L.Y., S.M.K., M.J.); Department of Radiology, Chung-Ang University Hospital, Seoul, Korea (H.S.A.); Total Healthcare Center, Kangbuk Samsung Hospital, Seoul, Korea (C.Y.L.); CHA Gangnam Health Promotion Center, Seoul, Korea (M.S.K.); Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea (S.A.K.); Department of Electronic Engineering and Sogang Institute of Advanced Technology, Sogang University, Seoul, Korea (T.-K.S., Y.Y., J.H.C.); and Department of Radiology, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Korea (Y.K.)
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Busch DR, Choe R, Durduran T, Yodh AG. Towards non-invasive characterization of breast cancer and cancer metabolism with diffuse optics. PET Clin 2013; 8. [PMID: 24244206 DOI: 10.1016/j.cpet.2013.04.004] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
We review recent developments in diffuse optical imaging and monitoring of breast cancer, i.e. optical mammography. Optical mammography permits non-invasive, safe and frequent measurement of tissue hemodynamics oxygen metabolism and components (lipids, water, etc.), the development of new compound indices indicative of the risk and malignancy, and holds potential for frequent non-invasive longitudinal monitoring of therapy progression.
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Pearlman PC, Adams A, Elias SG, Mali WPTM, Viergever MA, Pluim JPW. Mono- and multimodal registration of optical breast images. JOURNAL OF BIOMEDICAL OPTICS 2012; 17:080901-1. [PMID: 23224161 DOI: 10.1117/1.jbo.17.8.080901] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Optical breast imaging offers the possibility of noninvasive, low cost, and high sensitivity imaging of breast cancers. Poor spatial resolution and a lack of anatomical landmarks in optical images of the breast make interpretation difficult and motivate registration and fusion of these data with subsequent optical images and other breast imaging modalities. Methods used for registration and fusion of optical breast images are reviewed. Imaging concerns relevant to the registration problem are first highlighted, followed by a focus on both monomodal and multimodal registration of optical breast imaging. Where relevant, methods pertaining to other imaging modalities or imaged anatomies are presented. The multimodal registration discussion concerns digital x-ray mammography, ultrasound, magnetic resonance imaging, and positron emission tomography.
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Affiliation(s)
- Paul C Pearlman
- University Medical Center Utrecht, Image Sciences Institute, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands.
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Choe R, Durduran T. Diffuse Optical Monitoring of the Neoadjuvant Breast Cancer Therapy. IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS : A PUBLICATION OF THE IEEE LASERS AND ELECTRO-OPTICS SOCIETY 2012; 18:1367-1386. [PMID: 23243386 PMCID: PMC3521564 DOI: 10.1109/jstqe.2011.2177963] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
Recent advances in the use of diffuse optical techniques for monitoring the hemodynamic, metabolic and physiological signatures of the neoadjuvant breast cancer therapy effectiveness is critically reviewed. An extensive discussion of the state-of-theart diffuse optical mammography is presented alongside a discussion of the current approaches to breast cancer therapies. Overall, the diffuse optics field is growing rapidly with a great deal of promise to fill an important niche in the current approaches to monitor, predict and personalize neoadjuvant breast cancer therapies.
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Affiliation(s)
- Regine Choe
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, USA;
| | - Turgut Durduran
- ICFO- Institut de Ciències Fotòniques, Mediterranean Technology Park, 08860, Barcelona, Spain;
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11
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Taka SJ, Srinivasan S. NIRViz: 3D visualization software for multimodality optical imaging using visualization toolkit (VTK) and insight segmentation toolkit (ITK). J Digit Imaging 2012; 24:1103-11. [PMID: 21274590 DOI: 10.1007/s10278-011-9362-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Optical imaging using near-infrared light is used for noninvasive probing of tissues to recover vascular and molecular status of healthy and diseased tissues using hemoglobin contrast arising due to absorption of light. While multimodality optical techniques exist, visualization techniques in this area are limited. Addressing this issue, we present a simple framework for image overlay of optical and magnetic resonance (MRI) or computerized tomographic images which is intuitive and easily usable, called NIRViz. NIRViz is a multimodality software platform for the display and navigation of Digital Imaging and Communications in Medicine (DICOM) MRI datasets and 3D optical image solutions geared toward visualization and coregistration of optical contrast in diseased tissues such as cancer. We present the design decisions undertaken during the design of the software, the libraries used in the implementation, and other implementation details as well as preliminary results from the software package. Our implementation uses the Visualization Toolkit library to do most of the work, with a Qt graphical user interface for the front end. Challenges encountered include reslicing DICOM image data and coregistration of image space and mesh space. The resulting software provides a simple and customized platform to display surface and volume meshes with optical parameters such as hemoglobin concentration, overlay them on magnetic resonance images, allow the user to interactively change transparency of different image sets, rotate geometries, clip through the resulting datasets, obtain mesh and optical solution information, and successfully interact with both functional and structural medical image information.
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Pogue BW, Davis SC, Leblond F, Mastanduno MA, Dehghani H, Paulsen KD. Implicit and explicit prior information in near-infrared spectral imaging: accuracy, quantification and diagnostic value. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2011; 369:4531-57. [PMID: 22006905 PMCID: PMC3263784 DOI: 10.1098/rsta.2011.0228] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Near-infrared spectroscopy (NIRS) of tissue provides quantification of absorbers, scattering and luminescent agents in bulk tissue through the use of measurement data and assumptions. Prior knowledge can be critical about things such as (i) the tissue shape and/or structure, (ii) spectral constituents, (iii) limits on parameters, (iv) demographic or biomarker data, and (v) biophysical models of the temporal signal shapes. A general framework of NIRS imaging with prior information is presented, showing that prior information datasets could be incorporated at any step in the NIRS process, with the general workflow being: (i) data acquisition, (ii) pre-processing, (iii) forward model, (iv) inversion/reconstruction, (v) post-processing, and (vi) interpretation/diagnosis. Most of the development in NIRS has used ad hoc or empirical implementations of prior information such as pre-measured absorber or fluorophore spectra, or tissue shapes as estimated by additional imaging tools. A comprehensive analysis would examine what prior information maximizes the accuracy in recovery and value for medical diagnosis, when implemented at separate stages of the NIRS sequence. Individual applications of prior information can show increases in accuracy or improved ability to estimate biochemical features of tissue, while other approaches may not. Most beneficial inclusion of prior information has been in the inversion/reconstruction process, because it solves the mathematical intractability. However, it is not clear that this is always the most beneficial stage.
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Affiliation(s)
- Brian W Pogue
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA.
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13
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Taroni P. Diffuse optical imaging and spectroscopy of the breast: a brief outline of history and perspectives. Photochem Photobiol Sci 2011; 11:241-50. [PMID: 22094324 DOI: 10.1039/c1pp05230f] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Breast cancer is the most common cancer among women in industrialized countries. At present, X-ray mammography is the gold standard for breast imaging, but has limitations, especially when dense breasts are imaged, as typically occurs in young women. Optical imaging can non-invasively provide information on tissue composition, structure and physiology that can be beneficially exploited for breast lesion detection and identification. In the last few decades optical breast imaging has been investigated, using different geometries (projection imaging and tomography) and measurement techniques (continuous wave, frequency resolved and time resolved approaches). Also, data analysis and display varies significantly, ranging from intensity images to maps of the optical properties (absorption and scattering), tissue composition, and physiological parameters (typically blood volume and oxygenation). This paper outlines the historical evolution of optical imaging and spectroscopy of the breast, highlighting potentialities and limitations, and presents an overview of the main applications and perspectives of the field.
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Affiliation(s)
- Paola Taroni
- Dipartimento di Fisica, Politecnico di Milano, piazza Leonardo da Vinci 32, 20133, Milan, Italy.
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14
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Lee K. Optical mammography: Diffuse optical imaging of breast cancer. World J Clin Oncol 2011; 2:64-72. [PMID: 21603315 PMCID: PMC3095466 DOI: 10.5306/wjco.v2.i1.64] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2010] [Revised: 11/01/2010] [Accepted: 11/08/2010] [Indexed: 02/06/2023] Open
Abstract
Existing imaging modalities for breast cancer screening, diagnosis and therapy monitoring, namely X-ray mammography and magnetic resonance imaging, have been proven to have limitations. Diffuse optical imaging is a set of non-invasive imaging modalities that use near-infrared light, which can be an alternative, if not replacement, to those existing modalities. This review covers the background knowledge, recent clinical outcome, and future outlook of this newly emerging medical imaging modality.
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Affiliation(s)
- Kijoon Lee
- Kijoon Lee, Division of Bioengineering, School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637457, Singapore
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15
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Durduran T, Choe R, Baker WB, Yodh AG. Diffuse Optics for Tissue Monitoring and Tomography. REPORTS ON PROGRESS IN PHYSICS. PHYSICAL SOCIETY (GREAT BRITAIN) 2010; 73:076701. [PMID: 26120204 PMCID: PMC4482362 DOI: 10.1088/0034-4885/73/7/076701] [Citation(s) in RCA: 561] [Impact Index Per Article: 40.1] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
This review describes the diffusion model for light transport in tissues and the medical applications of diffuse light. Diffuse optics is particularly useful for measurement of tissue hemodynamics, wherein quantitative assessment of oxy- and deoxy-hemoglobin concentrations and blood flow are desired. The theoretical basis for near-infrared or diffuse optical spectroscopy (NIRS or DOS, respectively) is developed, and the basic elements of diffuse optical tomography (DOT) are outlined. We also discuss diffuse correlation spectroscopy (DCS), a technique whereby temporal correlation functions of diffusing light are transported through tissue and are used to measure blood flow. Essential instrumentation is described, and representative brain and breast functional imaging and monitoring results illustrate the workings of these new tissue diagnostics.
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Affiliation(s)
- T Durduran
- ICFO- Institut de Ciències Fotòniques, Mediterranean Technology Park, 08860 Castelldefels (Barcelona), Spain
| | - R Choe
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - W B Baker
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - A G Yodh
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA
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16
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Choe R, Konecky SD, Corlu A, Lee K, Durduran T, Busch DR, Pathak S, Czerniecki BJ, Tchou J, Fraker DL, Demichele A, Chance B, Arridge SR, Schweiger M, Culver JP, Schnall MD, Putt ME, Rosen MA, Yodh AG. Differentiation of benign and malignant breast tumors by in-vivo three-dimensional parallel-plate diffuse optical tomography. JOURNAL OF BIOMEDICAL OPTICS 2009; 14:024020. [PMID: 19405750 PMCID: PMC2782703 DOI: 10.1117/1.3103325] [Citation(s) in RCA: 87] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
We have developed a novel parallel-plate diffuse optical tomography (DOT) system for three-dimensional in vivo imaging of human breast tumor based on large optical data sets. Images of oxy-, deoxy-, and total hemoglobin concentration as well as blood oxygen saturation and tissue scattering were reconstructed. Tumor margins were derived using the optical data with guidance from radiology reports and magnetic resonance imaging. Tumor-to-normal ratios of these endogenous physiological parameters and an optical index were computed for 51 biopsy-proven lesions from 47 subjects. Malignant cancers (N=41) showed statistically significant higher total hemoglobin, oxy-hemoglobin concentration, and scattering compared to normal tissue. Furthermore, malignant lesions exhibited a twofold average increase in optical index. The influence of core biopsy on DOT results was also explored; the difference between the malignant group measured before core biopsy and the group measured more than 1 week after core biopsy was not significant. Benign tumors (N=10) did not exhibit statistical significance in the tumor-to-normal ratios of any parameter. Optical index and tumor-to-normal ratios of total hemoglobin, oxy-hemoglobin concentration, and scattering exhibited high area under the receiver operating characteristic curve values from 0.90 to 0.99, suggesting good discriminatory power. The data demonstrate that benign and malignant lesions can be distinguished by quantitative three-dimensional DOT.
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Affiliation(s)
- Regine Choe
- University of Pennsylvania, Department of Physics, 209 S. 33rd Street, Philadelphia, Pennsylvania 19104, USA.
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17
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Srinivasan S, Carpenter C, Pogue BW, Paulsen KD. Image-guided near infrared spectroscopy using boundary element method: phantom validation. PROCEEDINGS OF SPIE--THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING 2009; 7171:717103. [PMID: 20445830 DOI: 10.1117/12.808938] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Image-guided near infrared spectroscopy (IG-NIRS) can provide high-resolution vascular, metabolic and molecular characterization of localized tissue volumes in-vivo. The approach for IG-NIRS uses hybrid systems where the spatial anatomical structure of tissue obtained from standard imaging modalities (such as MRI) is combined with tissue information from diffuse optical imaging spectroscopy. There is need to optimize these hybrid systems for large-scale clinical trials anticipated in the near future in order to evaluate the feasibility of this technology across a larger population. However, existing computational methods such as the finite element method mesh arbitrary image volumes, which inhibit automation, especially with large numbers of datasets. Circumventing this issue, a boundary element method (BEM) for IG-NIRS systems in 3-D is presented here using only surface rendering and discretization. The process of surface creation and meshing is faster, more reliable, and is easily generated automatically as compared to full volume meshing. The proposed method has been implemented here for multi-spectral non-invasive characterization of tissue. In phantom experiments, 3-D spectral BEM-based spectroscopy recovered the oxygen dissociation curve with mean error of 6.6% and tracked variation in total hemoglobin linearly.
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Affiliation(s)
- Subhadra Srinivasan
- Thayer School of Engineering, Dartmouth College, 8000 Cummings Hall, Hanover, NH-03755
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18
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Konecky SD, Choe R, Corlu A, Lee K, Wiener R, Srinivas SM, Saffer JR, Freifelder R, Karp JS, Hajjioui N, Azar F, Yodh AG. Comparison of diffuse optical tomography of human breast with whole-body and breast-only positron emission tomography. Med Phys 2008; 35:446-55. [PMID: 18383664 DOI: 10.1118/1.2826560] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
We acquire and compare three-dimensional tomographic breast images of three females with suspicious masses using diffuse optical tomography (DOT) and positron emission tomography (PET). Co-registration of DOT and PET images was facilitated by a mutual information maximization algorithm. We also compared DOT and whole-body PET images of 14 patients with breast abnormalities. Positive correlations were found between total hemoglobin concentration and tissue scattering measured by DOT, and fluorodeoxyglucose (18F-FDG) uptake. In light of these observations, we suggest potential benefits of combining both PET and DOT for characterization of breast lesions.
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Affiliation(s)
- Soren D Konecky
- Department of Physics and Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104, USA.
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