1
|
Cao X, Muller KE, Chamberlin MD, Gui J, Kaufman PA, Schwartz GN, diFlorio-Alexander RM, Pogue BW, Paulsen KD, Jiang S. Near-Infrared Spectral Tomography for Predicting Residual Cancer Burden during Early-Stage Neoadjuvant Chemotherapy for Breast Cancer. Clin Cancer Res 2023; 29:4822-4829. [PMID: 37733788 DOI: 10.1158/1078-0432.ccr-23-1593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 07/19/2023] [Accepted: 09/20/2023] [Indexed: 09/23/2023]
Abstract
PURPOSE The aim of this study is to investigate whether near-infrared spectral tomography (NIRST) might serve as a reliable prognostic tool to predict residual cancer burden (RCB) in patients with breast cancer undergoing neoadjuvant chemotherapy (NAC) based upon early treatment response measurements. EXPERIMENTAL DESIGN A total of thirty-five patients with breast cancer receiving NAC were included in this study. NIRST imaging was performed at multiple time points, including: before treatment, at end of the first cycle, at the mid-point, and post-NAC treatments. From reconstructed NIRST images, average values of total hemoglobin (HbT) were obtained for both the tumor region and contralateral breast at each time point. RCB scores/classes were assessed by a pathologist using histologic slides of the surgical specimen obtained after completing NAC. Logistic regression of the normalized early percentage change of HbT in the tumor region (ΔHbT%) was used to predict RCB and determine its significance as an indicator for differentiating cases within each RCB class. RESULTS The ΔHbT% at the end of the first cycle, as compared with pretreatment levels, showed excellent prognostic capability in differentiating RCB-0 from RCB-I/II/III or RCB-II from RCB-0/I/III (P < 0.001). Corresponding area under the curve (AUC) values for these comparisons were 0.97 and 0.94, and accuracy values were 0.90 and 0.83, respectively. CONCLUSIONS NIRST holds promise as a potential clinical tool that can be seamlessly integrated into existing clinical workflow within the infusion suite. By providing early assessment of RCB, NIRST has potential to improve breast cancer patient management strategies.
Collapse
Affiliation(s)
- Xu Cao
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire
| | | | | | - Jiang Gui
- 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
| | - Shudong Jiang
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire
| |
Collapse
|
2
|
Wassermann B, Jishi RA, Grosenick D. Efficient algorithm to calculate the optical properties of breast tumors by high-order perturbation theory. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA. A, OPTICS, IMAGE SCIENCE, AND VISION 2023; 40:1882-1894. [PMID: 37855544 DOI: 10.1364/josaa.498799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 08/25/2023] [Indexed: 10/20/2023]
Abstract
An efficient algorithm to obtain the solutions for n-th order terms of perturbation expansions in absorption, scattering, and cross-coupling for light propagating in human tissue is presented. The proposed solution is free of any approximations and makes possible fast and efficient estimates of mammographic, optical tomographic, and fluorescent images, applying a perturbation order of 30 and more. The presented analysis sets the general limits for the applicability of the perturbation approach as a function of tumor size and optical properties of the human tissue. The convergence tests of the efficient calculations for large absorbing objects show excellent agreement with the reference data from finite element method calculations. The applicability of the theory is demonstrated in experiments on breast-like phantoms with high absorbing and low-scattering lesions.
Collapse
|
3
|
Zhou X, Xia Y, Uchitel J, Collins-Jones L, Yang S, Loureiro R, Cooper RJ, Zhao H. Review of recent advances in frequency-domain near-infrared spectroscopy technologies [Invited]. BIOMEDICAL OPTICS EXPRESS 2023; 14:3234-3258. [PMID: 37497520 PMCID: PMC10368025 DOI: 10.1364/boe.484044] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 04/29/2023] [Accepted: 05/25/2023] [Indexed: 07/28/2023]
Abstract
Over the past several decades, near-infrared spectroscopy (NIRS) has become a popular research and clinical tool for non-invasively measuring the oxygenation of biological tissues, with particular emphasis on applications to the human brain. In most cases, NIRS studies are performed using continuous-wave NIRS (CW-NIRS), which can only provide information on relative changes in chromophore concentrations, such as oxygenated and deoxygenated hemoglobin, as well as estimates of tissue oxygen saturation. Another type of NIRS known as frequency-domain NIRS (FD-NIRS) has significant advantages: it can directly measure optical pathlength and thus quantify the scattering and absorption coefficients of sampled tissues and provide direct measurements of absolute chromophore concentrations. This review describes the current status of FD-NIRS technologies, their performance, their advantages, and their limitations as compared to other NIRS methods. Significant landmarks of technological progress include the development of both benchtop and portable/wearable FD-NIRS technologies, sensitive front-end photonic components, and high-frequency phase measurements. Clinical applications of FD-NIRS technologies are discussed to provide context on current applications and needed areas of improvement. The review concludes by providing a roadmap toward the next generation of fully wearable, low-cost FD-NIRS systems.
Collapse
Affiliation(s)
- Xinkai Zhou
- HUB of Intelligent Neuro-engineering (HUBIN), Aspire CREATe, IOMS, Division of Surgery and Interventional Science, University College London (UCL), London, HA7 4LP, UK
| | - Yunjia Xia
- HUB of Intelligent Neuro-engineering (HUBIN), Aspire CREATe, IOMS, Division of Surgery and Interventional Science, University College London (UCL), London, HA7 4LP, UK
- DOT-HUB, Department of Medical Physics & Biomedical Engineering, UCL, London, WC1E 6BT, UK
| | - Julie Uchitel
- Department of Paediatrics, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Liam Collins-Jones
- DOT-HUB, Department of Medical Physics & Biomedical Engineering, UCL, London, WC1E 6BT, UK
| | - Shufan Yang
- HUB of Intelligent Neuro-engineering (HUBIN), Aspire CREATe, IOMS, Division of Surgery and Interventional Science, University College London (UCL), London, HA7 4LP, UK
- School of Computing, Engineering & Build Environment, Edinburgh Napier University, Edinburgh, UK
| | - Rui Loureiro
- Aspire CREATe, Department of Orthopaedics & Musculoskeletal Science, UCL, London, HA7 4LP, UK
| | - Robert J. Cooper
- DOT-HUB, Department of Medical Physics & Biomedical Engineering, UCL, London, WC1E 6BT, UK
| | - Hubin Zhao
- HUB of Intelligent Neuro-engineering (HUBIN), Aspire CREATe, IOMS, Division of Surgery and Interventional Science, University College London (UCL), London, HA7 4LP, UK
- DOT-HUB, Department of Medical Physics & Biomedical Engineering, UCL, London, WC1E 6BT, UK
| |
Collapse
|
4
|
Wang Y, Li S, Wang Y, Yan Q, Wang X, Shen Y, Li Z, Kang F, Cao X, Zhu S. Compact fiber-free parallel-plane multi-wavelength diffuse optical tomography system for breast imaging. OPTICS EXPRESS 2022; 30:6469-6486. [PMID: 35299431 DOI: 10.1364/oe.448874] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 02/05/2022] [Indexed: 06/14/2023]
Abstract
To facilitate the clinical applicability of the diffuse optical inspection device, a compact multi-wavelength diffuse optical tomography system for breast imaging (compact-DOTB) with a fiber-free parallel-plane structure was designed and fabricated for acquiring three-dimensional optical properties of the breast in continuous-wave mode. The source array consists of 56 surface-mounted micro light-emitting diodes (LEDs), each integrating three wavelengths (660, 750, and 840 nm). The detector array is arranged with 56 miniaturized surface-mounted optical sensors, each encapsulating a high-sensitivity photodiode (PD) and a low-noise current amplifier with a gain of 24×. The system provides 3,136 pairs of source-detector measurements at each wavelength, and the fiber-free design largely ensures consistency between source/detection channels while effectively reducing the complexity of system operation and maintenance. We have evaluated the compact-DOTB system's characteristics and demonstrated its performance in terms of reconstruction positioning accuracy and recovery contrast with breast-sized phantom experiments. Furthermore, the breast cancer patient studies have been carried out, and the quantitative results indicate that the compact-DOTB system is able to observe the changes in the functional tissue components of the breast after receiving the neoadjuvant chemotherapy (NAC), demonstrating the great potential of the proposed compact system for clinical applications, while its cost and ease of operation are competitive with the existing breast-DOT devices.
Collapse
|
5
|
Feng J, Jiang S, Pogue BW, Paulsen KD. Performance assessment of MRI guided continuous wave near-infrared spectral tomography for breast imaging. BIOMEDICAL OPTICS EXPRESS 2021; 12:7657-7672. [PMID: 35003858 PMCID: PMC8713687 DOI: 10.1364/boe.444131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 11/11/2021] [Accepted: 11/11/2021] [Indexed: 06/14/2023]
Abstract
Integration of magnetic resonance imaging (MRI) and near-infrared spectral tomography (NIRST) has yielded promising diagnostic performance for breast imaging in the past. This study focused on whether MRI-guided NIRST can quantify hemoglobin concentration using only continuous wave (CW) measurements. Patients were classified into four breast density groups based on their MRIs. Optical scattering properties were assigned based on average values obtained from these density groups, and MRI-guided NIRST images were reconstructed from calibrated CW data. Total hemoglobin (HbT) contrast between suspected lesions and surrounding normal tissue was used as an indicator of the malignancy. Results obtained from simulations and twenty-four patient cases indicate that the diagnostic power when using only CW data to differentiate malignant from benign abnormalities is similar to that obtained from combined frequency domain (FD) and CW data. These findings suggest that eliminating FD detection to reduce the cost and complexity of MRI-guided NIRST is possible.
Collapse
Affiliation(s)
- Jinchao Feng
- Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
- Thayer School of Engineering, Dartmouth College, NH 03755, USA
- Beijing Laboratory of Advanced Information Networks, Beijing 100124, China
| | - Shudong Jiang
- Thayer School of Engineering, Dartmouth College, NH 03755, USA
| | - Brian W. Pogue
- Thayer School of Engineering, Dartmouth College, NH 03755, USA
| | | |
Collapse
|
6
|
Ohmae E, Yoshizawa N, Yoshimoto K, Hayashi M, Wada H, Mimura T, Suzuki H, Homma S, Suzuki N, Ogura H, Nasu H, Sakahara H, Yamashita Y, Ueda Y. Stable tissue-simulating phantoms with various water and lipid contents for diffuse optical spectroscopy. BIOMEDICAL OPTICS EXPRESS 2018; 9:5792-5808. [PMID: 30460162 PMCID: PMC6238899 DOI: 10.1364/boe.9.005792] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 10/12/2018] [Accepted: 10/12/2018] [Indexed: 05/17/2023]
Abstract
We introduced a method for producing solid phantoms with various water-to-lipid ratios that can simulate the absorption, and to some extent the scattering characteristics of human breast tissue. We also achieved phantom stability for a minimum of one month by solidifying the emulsion phantoms. The characteristics of the phantoms were evaluated using the six-wavelength time-domain diffuse optical spectroscopy (TD-DOS) system we developed to measure water and lipid contents and hemoglobin concentration. The TD-DOS measurements were validated with a magnetic resonance imaging system.
Collapse
Affiliation(s)
- Etsuko Ohmae
- Central Research Laboratory, Hamamatsu Photonics K. K., 5000, Hirakuchi, Hamakita-ku, Hamamatsu City, Shizuoka Pref., 434-8601, Japan
| | - Nobuko Yoshizawa
- Department of Diagnostic Radiology and Nuclear Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu City, Shizuoka Pref., 431-3192, Japan
| | - Kenji Yoshimoto
- Central Research Laboratory, Hamamatsu Photonics K. K., 5000, Hirakuchi, Hamakita-ku, Hamamatsu City, Shizuoka Pref., 434-8601, Japan
| | - Maho Hayashi
- Department of Diagnostic Radiology and Nuclear Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu City, Shizuoka Pref., 431-3192, Japan
| | - Hiroko Wada
- Central Research Laboratory, Hamamatsu Photonics K. K., 5000, Hirakuchi, Hamakita-ku, Hamamatsu City, Shizuoka Pref., 434-8601, Japan
| | - Tetsuya Mimura
- Central Research Laboratory, Hamamatsu Photonics K. K., 5000, Hirakuchi, Hamakita-ku, Hamamatsu City, Shizuoka Pref., 434-8601, Japan
| | - Hiroaki Suzuki
- Central Research Laboratory, Hamamatsu Photonics K. K., 5000, Hirakuchi, Hamakita-ku, Hamamatsu City, Shizuoka Pref., 434-8601, Japan
| | - Shu Homma
- Central Research Laboratory, Hamamatsu Photonics K. K., 5000, Hirakuchi, Hamakita-ku, Hamamatsu City, Shizuoka Pref., 434-8601, Japan
| | - Norihiro Suzuki
- Central Research Laboratory, Hamamatsu Photonics K. K., 5000, Hirakuchi, Hamakita-ku, Hamamatsu City, Shizuoka Pref., 434-8601, Japan
| | - Hiroyuki Ogura
- Department of Breast Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu City, Shizuoka Pref., 431-3192, Japan
| | - Hatsuko Nasu
- Department of Diagnostic Radiology and Nuclear Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu City, Shizuoka Pref., 431-3192, Japan
| | - Harumi Sakahara
- Department of Diagnostic Radiology and Nuclear Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu City, Shizuoka Pref., 431-3192, Japan
| | - Yutaka Yamashita
- Central Research Laboratory, Hamamatsu Photonics K. K., 5000, Hirakuchi, Hamakita-ku, Hamamatsu City, Shizuoka Pref., 434-8601, Japan
| | - Yukio Ueda
- Central Research Laboratory, Hamamatsu Photonics K. K., 5000, Hirakuchi, Hamakita-ku, Hamamatsu City, Shizuoka Pref., 434-8601, Japan
| |
Collapse
|
7
|
Vedantham S, Karellas A. Emerging Breast Imaging Technologies on the Horizon. Semin Ultrasound CT MR 2018; 39:114-121. [PMID: 29317033 DOI: 10.1053/j.sult.2017.09.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Early detection of breast cancers by mammography in conjunction with adjuvant therapy has contributed to reduction in breast cancer mortality. Mammography remains the "gold-standard" for breast cancer screening but is limited by tissue superposition. Digital breast tomosynthesis and more recently, dedicated breast computed tomography have been developed to alleviate the tissue superposition problem. However, all of these modalities rely upon x-ray attenuation contrast to provide anatomical images, and there are ongoing efforts to develop and clinically translate alternative modalities. These emerging modalities could provide for new contrast mechanisms and may potentially improve lesion detection and diagnosis. In this article, several of these emerging modalities are discussed with a focus on technologies that have advanced to the stage of in vivo clinical evaluation.
Collapse
Affiliation(s)
- Srinivasan Vedantham
- Department of Medical Imaging, University of Arizona College of Medicine, Banner University Medical Center, Tucson, AZ.
| | - Andrew Karellas
- Department of Medical Imaging, University of Arizona College of Medicine, Banner University Medical Center, Tucson, AZ
| |
Collapse
|
8
|
Zhao Y, Burger WR, Zhou M, Bernhardt EB, Kaufman PA, Patel RR, Angeles CV, Pogue BW, Paulsen KD, Jiang S. Collagen quantification in breast tissue using a 12-wavelength near infrared spectral tomography (NIRST) system. BIOMEDICAL OPTICS EXPRESS 2017; 8:4217-4229. [PMID: 28966860 PMCID: PMC5611936 DOI: 10.1364/boe.8.004217] [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: 07/26/2017] [Revised: 08/22/2017] [Accepted: 08/22/2017] [Indexed: 05/20/2023]
Abstract
A portable near infrared spectral tomography (NIRST) system was adapted for breast cancer detection and treatment monitoring with improved speed of acquisition for parallel 12 wavelengths of parallel frequency-domain (FD) and continuous-wavelength (CW) measurement. Using a novel gain adjustment scheme in the Photomultiplier Tube detectors (PMTs), the data acquisition time for simultaneous acquisition involving three FD and three CW wavelengths, has been reduced from 90 to 55 seconds, while signal variation was also reduced from 2.1% to 1.1%. Tomographic images of breast collagen content have been recovered for the first time, and image reconstruction approaches with and without collagen content included have been validated in simulation studies and normal subject exams. Simulations indicate that including collagen content into the reconstruction procedure can significantly reduce the overestimation in total hemoglobin, water and lipid by 8.9μM, 1.8% and 15.8%, respectively, and underestimates in oxygen saturation by 9.5%, given an average 10% background collagen content. A breast cancer patient with invasive ductal carcinoma was imaged and the reconstructed images show that the recovered tumor/background contrast in total hemoglobin increased from 1.5 to 1.7 when collagen was included in reconstruction.
Collapse
Affiliation(s)
- Yan Zhao
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA
| | - William R. Burger
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA
| | - Mingwei Zhou
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA
| | - Erica B. Bernhardt
- Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon NH 03756, USA
| | - Peter A. Kaufman
- Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon NH 03756, USA
- Department of Medicine, Geisel School of Medicine, Dartmouth College, Hanover NH 03755, USA
| | - Roshani R. Patel
- Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon NH 03756, USA
| | - Christina V. Angeles
- Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon NH 03756, USA
| | - Brian W. Pogue
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA
- Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon NH 03756, USA
| | - Keith D. Paulsen
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA
- Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon NH 03756, USA
| | - Shudong Jiang
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA
- Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon NH 03756, USA
| |
Collapse
|
9
|
Zimmermann BB, Deng B, Singh B, Martino M, Selb J, Fang Q, Sajjadi AY, Cormier J, Moore RH, Kopans DB, Boas DA, Saksena MA, Carp SA. Multimodal breast cancer imaging using coregistered dynamic diffuse optical tomography and digital breast tomosynthesis. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:46008. [PMID: 28447102 PMCID: PMC5406652 DOI: 10.1117/1.jbo.22.4.046008] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Accepted: 04/07/2017] [Indexed: 05/02/2023]
Abstract
Diffuse optical tomography (DOT) is emerging as a noninvasive functional imaging method for breast cancer diagnosis and neoadjuvant chemotherapy monitoring. In particular, the multimodal approach of combining DOT with x-ray digital breast tomosynthesis (DBT) is especially synergistic as DBT prior information can be used to enhance the DOT reconstruction. DOT, in turn, provides a functional information overlay onto the mammographic images, increasing sensitivity and specificity to cancer pathology. We describe a dynamic DOT apparatus designed for tight integration with commercial DBT scanners and providing a fast (up to 1 Hz) image acquisition rate to enable tracking hemodynamic changes induced by the mammographic breast compression. The system integrates 96 continuous-wave and 24 frequency-domain source locations as well as 32 continuous wave and 20 frequency-domain detection locations into low-profile plastic plates that can easily mate to the DBT compression paddle and x-ray detector cover, respectively. We demonstrate system performance using static and dynamic tissue-like phantoms as well as in vivo images acquired from the pool of patients recalled for breast biopsies at the Massachusetts General Hospital Breast Imaging Division.
Collapse
Affiliation(s)
- Bernhard B. Zimmermann
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
- Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, Cambridge, Massachusetts, United States
| | - Bin Deng
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
- Harvard Medical School, Department of Radiology, Boston, Massachusetts, United States
| | - Bhawana Singh
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
- Harvard Medical School, Department of Radiology, Boston, Massachusetts, United States
| | - Mark Martino
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
| | - Juliette Selb
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
- Harvard Medical School, Department of Radiology, Boston, Massachusetts, United States
| | - Qianqian Fang
- Northeastern University, Department of Bioengineering, Boston, Massachusetts, United States
| | - Amir Y. Sajjadi
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
- Harvard Medical School, Department of Radiology, Boston, Massachusetts, United States
| | - Jayne Cormier
- Massachusetts General Hospital, Breast Imaging Division, Department of Radiology, Boston, Massachusetts, United States
| | - Richard H. Moore
- Massachusetts General Hospital, Breast Imaging Division, Department of Radiology, Boston, Massachusetts, United States
| | - Daniel B. Kopans
- Harvard Medical School, Department of Radiology, Boston, Massachusetts, United States
- Massachusetts General Hospital, Breast Imaging Division, Department of Radiology, Boston, Massachusetts, United States
| | - David A. Boas
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
- Harvard Medical School, Department of Radiology, Boston, Massachusetts, United States
| | - Mansi A. Saksena
- Harvard Medical School, Department of Radiology, Boston, Massachusetts, United States
- Massachusetts General Hospital, Breast Imaging Division, Department of Radiology, Boston, Massachusetts, United States
| | - Stefan A. Carp
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
- Harvard Medical School, Department of Radiology, Boston, Massachusetts, United States
- Address all correspondence to: Stefan A. Carp, E-mail:
| |
Collapse
|
10
|
Torjesen A, Istfan R, Roblyer D. Ultrafast wavelength multiplexed broad bandwidth digital diffuse optical spectroscopy for in vivo extraction of tissue optical properties. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:36009. [PMID: 28280840 DOI: 10.1117/1.jbo.22.3.036009] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Accepted: 02/17/2017] [Indexed: 05/02/2023]
Abstract
Frequency-domain diffuse optical spectroscopy (FD-DOS) utilizes intensity-modulated light to characterize optical scattering and absorption in thick tissue. Previous FD-DOS systems have been limited by large device footprints, complex electronics, high costs, and limited acquisition speeds, all of which complicate access to patients in the clinical setting. We have developed a new digital DOS (dDOS) system, which is relatively compact and inexpensive, allowing for simplified clinical use, while providing unprecedented measurement speeds. The dDOS system utilizes hardware-integrated custom board-level direct digital synthesizers and an analog-to-digital converter to generate frequency sweeps and directly measure signals utilizing undersampling at six wavelengths modulated at discrete frequencies from 50 to 400 MHz. Wavelength multiplexing is utilized to achieve broadband frequency sweep measurements acquired at over 97 Hz. When compared to a gold-standard DOS system, the accuracy of optical properties recovered with the dDOS system was within 5.3% and 5.5% for absorption and reduced scattering coefficient extractions, respectively. When tested in vivo, the dDOS system was able to detect physiological changes throughout the cardiac cycle. The new FD-dDOS system is fast, inexpensive, and compact without compromising measurement quality.
Collapse
Affiliation(s)
- Alyssa Torjesen
- Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States
| | - Raeef Istfan
- Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States
| | - Darren Roblyer
- Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States
| |
Collapse
|
11
|
Sabir S, Kim C, Cho S, Heo D, Kim KH, Ye JC, Cho S. Sampling scheme optimization for diffuse optical tomography based on data and image space rankings. JOURNAL OF BIOMEDICAL OPTICS 2016; 21:106004. [PMID: 27775749 DOI: 10.1117/1.jbo.21.10.106004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Accepted: 10/03/2016] [Indexed: 05/08/2023]
Abstract
We present a methodology for the optimization of sampling schemes in diffuse optical tomography (DOT). The proposed method exploits singular value decomposition (SVD) of the sensitivity matrix, or weight matrix, in DOT. Two mathematical metrics are introduced to assess and determine the optimum source–detector measurement configuration in terms of data correlation and image space resolution. The key idea of the work is to weight each data measurement, or rows in the sensitivity matrix, and similarly to weight each unknown image basis, or columns in the sensitivity matrix, according to their contribution to the rank of the sensitivity matrix, respectively. The proposed metrics offer a perspective on the data sampling and provide an efficient way of optimizing the sampling schemes in DOT. We evaluated various acquisition geometries often used in DOT by use of the proposed metrics. By iteratively selecting an optimal sparse set of data measurements, we showed that one can design a DOT scanning protocol that provides essentially the same image quality at a much reduced sampling.
Collapse
Affiliation(s)
- Sohail Sabir
- Korea Advanced Institute of Science and Technology, Department of Nuclear and Quantum Engineering, 291 Daehak-ro, Daejeon 34141, Republic of Korea
| | - Changhwan Kim
- Korea Advanced Institute of Science and Technology, Department of Nuclear and Quantum Engineering, 291 Daehak-ro, Daejeon 34141, Republic of Korea
| | - Sanghoon Cho
- Korea Advanced Institute of Science and Technology, Department of Nuclear and Quantum Engineering, 291 Daehak-ro, Daejeon 34141, Republic of Korea
| | - Duchang Heo
- Korea Electrotechnology Research Institute, 111 Hangawool-ro, Ansan 15588, Republic of Korea
| | - Kee Hyun Kim
- Korea Electrotechnology Research Institute, 111 Hangawool-ro, Ansan 15588, Republic of Korea
| | - Jong Chul Ye
- Korea Advanced Institute of Science and Technology, Department of Bio and Brain Engineering, 291 Daehak-ro, Daejeon 34141, Republic of Korea
| | - Seungryong Cho
- Korea Advanced Institute of Science and Technology, Department of Nuclear and Quantum Engineering, 291 Daehak-ro, Daejeon 34141, Republic of Korea
| |
Collapse
|