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Daly MJ, Chan H, Muhanna N, Akens MK, Wilson BC, Irish JC, Jaffray DA. Intraoperative cone-beam CT spatial priors for diffuse optical fluorescence tomography. ACTA ACUST UNITED AC 2019; 64:215007. [DOI: 10.1088/1361-6560/ab4917] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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2
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Daly MJ, Wilson BC, Irish JC, Jaffray DA. Navigated non-contact fluorescence tomography. ACTA ACUST UNITED AC 2019; 64:135021. [DOI: 10.1088/1361-6560/ab1f33] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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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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4
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Development and clinical translation of photoacoustic mammography. Biomed Eng Lett 2018; 8:157-165. [PMID: 30603200 DOI: 10.1007/s13534-018-0070-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Revised: 04/21/2018] [Accepted: 04/23/2018] [Indexed: 10/16/2022] Open
Abstract
To practically apply photoacoustic (PA) imaging technology in medicine, we have developed prototypes of a photoacoustic mammography (PAM) device to acquire images for diagnosing breast cancer in the Kyoto University/Canon joint research project (CK project supported by MEXT, Japan). First, the basic ability of the PAM system to visualize the network of blood vessels and the Hb saturation index was evaluated using a prototype of PAM that has a flat scanning detector and is capable of simultaneously acquiring photoacoustic (PA) and ultrasound images. Next, another prototype of a PAM device with hemispherical sensors was developed to improve the visibility of the 3D structure of vessels by reducing the limited view effect. In clinical examination of breast cancer cases, the PAM system allowed 3D visualization of fine vessel networks with a spatial resolution of a half-millimeter and enabled us to determine the features of tumor-related vascular structures in human breast cancer. In addition, the oxygen saturation status of Hb was visualized using two different wavelengths, enabling more precise characterization of the tumor microenvironment. Results of clinical evaluation using our developed prototype of a PAM device confirmed that PA imaging technology has the potential to promote early detection of breast cancer, and realization of its practical use is expected in the near future.
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Zhang L, Jiang S, Zhao Y, Feng J, Pogue BW, Paulsen KD. Direct Regularization From Co-Registered Contrast MRI Improves Image Quality of MRI-Guided Near-Infrared Spectral Tomography of Breast Lesions. IEEE TRANSACTIONS ON MEDICAL IMAGING 2018; 37:1247-1252. [PMID: 29727287 PMCID: PMC5987778 DOI: 10.1109/tmi.2018.2794548] [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] [Indexed: 05/07/2023]
Abstract
An approach using direct regularization from co-registered dynamic contrast enhanced magnetic reson- ance images was used to reconstruct near-infrared spectral tomography patient images, which does not need image segmentation. 20 patients with mammography/ultrasound confirmed breast abnormalities were involved in this paper, and the resulting images indicated that tumor total hemoglobin concentration contrast differentiated malignant from benign cases (p-value = 0.021). The approach prod- uced reconstructed images, which significantly reduced surface artifacts near the source-detector locations (p-value = 4.16e-6).
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6
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Weersink RA, Chaudhary S, Mayo K, He J, Wilson BC. Shape-based reconstruction for transrectal diffuse optical tomography monitoring of photothermal focal therapy of prostate cancer: simulation studies. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:45004. [PMID: 28384707 DOI: 10.1117/1.jbo.22.4.045004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Accepted: 03/17/2017] [Indexed: 06/07/2023]
Abstract
We develop and demonstrate a simple shape-based approach for diffuse optical tomographic reconstruction of coagulative lesions generated during interstitial photothermal therapy (PTT) of the prostate. The shape-based reconstruction assumes a simple ellipsoid shape, matching the general dimensions of a cylindrical diffusing fiber used for light delivery in current clinical studies of PTT in focal prostate cancer. The specific requirement is to accurately define the border between the photothermal lesion and native tissue as the photothermal lesion grows, with an accuracy of ? 1 ?? mm , so treatment can be terminated before there is damage to the rectal wall. To demonstrate the feasibility of the shape-based diffuse optical tomography reconstruction, simulated data were generated based on forward calculations in known geometries that include the prostate, rectum, and lesions of varying dimensions. The only source of optical contrast between the lesion and prostate was increased scattering in the lesion, as is typically observed with coagulation. With noise added to these forward calculations, lesion dimensions were reconstructed using the shape-based method. This approach for reconstruction is shown to be feasible and sufficiently accurate for lesions that are within 4 mm from the rectal wall. The method was also robust for irregularly shaped lesions.
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Affiliation(s)
- Robert A Weersink
- University of Toronto, Department of Radiation Oncology, Toronto, Ontario, CanadabUniversity of Toronto, Institute of Biomaterials and Biomedical Engineering, Toronto, Ontario, CanadacUniversity Health Network, Techna Institute, Toronto, Ontario, CanadadUniversity Health Network, Radiation Medicine Program, Toronto, Ontario, Canada
| | - Sahil Chaudhary
- University of Toronto, Department of Medical Biophysics, Toronto, Ontario, Canada
| | - Kenwrick Mayo
- University of Toronto, Department of Medical Biophysics, Toronto, Ontario, Canada
| | - Jie He
- University of Toronto, Department of Medical Biophysics, Toronto, Ontario, Canada
| | - Brian C Wilson
- University Health Network, Techna Institute, Toronto, Ontario, CanadaeUniversity of Toronto, Department of Medical Biophysics, Toronto, Ontario, CanadafUniversity Health Network, Ontario Cancer Institute, Toronto, Ontario, Canada
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7
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Toi M, Asao Y, Matsumoto Y, Sekiguchi H, Yoshikawa A, Takada M, Kataoka M, Endo T, Kawaguchi-Sakita N, Kawashima M, Fakhrejahani E, Kanao S, Yamaga I, Nakayama Y, Tokiwa M, Torii M, Yagi T, Sakurai T, Togashi K, Shiina T. Visualization of tumor-related blood vessels in human breast by photoacoustic imaging system with a hemispherical detector array. Sci Rep 2017; 7:41970. [PMID: 28169313 PMCID: PMC5294462 DOI: 10.1038/srep41970] [Citation(s) in RCA: 148] [Impact Index Per Article: 21.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Accepted: 12/28/2016] [Indexed: 12/19/2022] Open
Abstract
Noninvasive measurement of the distribution and oxygenation state of hemoglobin (Hb) inside the tissue is strongly required to analyze the tumor-associated vasculatures. We developed a photoacoustic imaging (PAI) system with a hemispherical-shaped detector array (HDA). Here, we show that PAI system with HDA revealed finer vasculature, more detailed blood-vessel branching structures, and more detailed morphological vessel characteristics compared with MRI by the use of breast shape deformation of MRI to PAI and their fused image. Morphologically abnormal peritumoral blood vessel features, including centripetal photoacoustic signals and disruption or narrowing of vessel signals, were observed and intratumoral signals were detected by PAI in breast cancer tissues as a result of the clinical study of 22 malignant cases. Interestingly, it was also possible to analyze anticancer treatment-driven changes in vascular morphological features and function, such as improvement of intratumoral blood perfusion and relevant changes in intravascular hemoglobin saturation of oxygen. This clinical study indicated that PAI appears to be a promising tool for noninvasive analysis of human blood vessels and may contribute to improve cancer diagnosis.
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Affiliation(s)
- M. Toi
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 606-8507, Japan
| | - Y. Asao
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 606-8507, Japan
- Medical Imaging System Development Center, Canon Inc., 3-30-2 Shimomaruko, Ohta-ku, Tokyo 146-8501, Japan
| | - Y. Matsumoto
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 606-8507, Japan
| | - H. Sekiguchi
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 6068507, Japan
| | - A. Yoshikawa
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 606-8507, Japan
| | - M. Takada
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 606-8507, Japan
| | - M. Kataoka
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 6068507, Japan
| | - T. Endo
- Medical Imaging System Development Center, Canon Inc., 3-30-2 Shimomaruko, Ohta-ku, Tokyo 146-8501, Japan
| | - N. Kawaguchi-Sakita
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 606-8507, Japan
| | - M. Kawashima
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 606-8507, Japan
| | - E. Fakhrejahani
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 606-8507, Japan
| | - S. Kanao
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 6068507, Japan
| | - I. Yamaga
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 606-8507, Japan
| | - Y. Nakayama
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 606-8507, Japan
| | - M. Tokiwa
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 606-8507, Japan
| | - M. Torii
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 606-8507, Japan
| | - T. Yagi
- Medical Imaging System Development Center, Canon Inc., 3-30-2 Shimomaruko, Ohta-ku, Tokyo 146-8501, Japan
| | - T. Sakurai
- Department of Diagnostic Pathology, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 606-8507, Japan
| | - K. Togashi
- Medical Imaging System Development Center, Canon Inc., 3-30-2 Shimomaruko, Ohta-ku, Tokyo 146-8501, Japan
| | - T. Shiina
- Department of Human Health Science, Graduate School of Medicine, Kyoto University, 53 Shogoin-Kawaharacho Sakyo-ku, Kyoto 606-8507, Japan
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8
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Baikejiang R, Zhang W, Li C. Diffuse optical tomography for breast cancer imaging guided by computed tomography: A feasibility study. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2017; 25:341-355. [PMID: 27983569 DOI: 10.3233/xst-16183] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Diffuse optical tomography (DOT) has attracted attentions in the last two decades due to its intrinsic sensitivity in imaging chromophores of tissues such as hemoglobin, water, and lipid. However, DOT has not been clinically accepted yet due to its low spatial resolution caused by strong optical scattering in tissues. Structural guidance provided by an anatomical imaging modality enhances the DOT imaging substantially. Here, we propose a computed tomography (CT) guided multispectral DOT imaging system for breast cancer imaging. To validate its feasibility, we have built a prototype DOT imaging system which consists of a laser at the wavelength of 650 nm and an electron multiplying charge coupled device (EMCCD) camera. We have validated the CT guided DOT reconstruction algorithms with numerical simulations and phantom experiments, in which different imaging setup parameters, such as projection number of measurements and width of measurement patch, have been investigated. Our results indicate that an air-cooling EMCCD camera is good enough for the transmission mode DOT imaging. We have also found that measurements at six angular projections are sufficient for DOT to reconstruct the optical targets with 2 and 4 times absorption contrast when the CT guidance is applied. Finally, we have described our future research plan on integration of a multispectral DOT imaging system into a breast CT scanner.
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9
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Asao Y, Hashizume Y, Suita T, Nagae KI, Fukutani K, Sudo Y, Matsushita T, Kobayashi S, Tokiwa M, Yamaga I, Fakhrejahani E, Torii M, Kawashima M, Takada M, Kanao S, Kataoka M, Shiina T, Toi M. Photoacoustic mammography capable of simultaneously acquiring photoacoustic and ultrasound images. JOURNAL OF BIOMEDICAL OPTICS 2016; 21:116009. [PMID: 27893089 DOI: 10.1117/1.jbo.21.11.116009] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2015] [Accepted: 10/31/2016] [Indexed: 05/07/2023]
Abstract
We have constructed a prototype photoacoustic mammography system (PAM-02) capable of simultaneously acquiring photoacoustic (PA) and ultrasound (US) images. Each PA, US, and fused PA/US image can be acquired over a wide area of the breast using the scanning module of a US transducer, a PA detector, and optical prisms. The resolution of the PA images exhibits improvement from 2 to 1 mm compared to images acquired using our previous prototype. The maximum scan area of PAM-02 is 90 mm along the horizontal axis and 150 mm along the vertical axis. In a phantom experiment, the available depth was at least 45 mm. A representative example of the application of the PAM-02 prototype in clinical research at Kyoto University is presented and shows S-factor images, which are considered an approximation parameter related to hemoglobin saturation of tumor-related blood vessels. We confirmed the applicability of the system for anatomical and biological research.
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Affiliation(s)
- Yasufumi Asao
- Canon Inc., Medical Imaging Development Center, 3-30-2, Shimomaruko, Ohta-ku, Tokyo 1468501, JapanbKyoto University, Graduate School of Medicine, Department of Breast Surgery, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 6068507, Japan
| | - Yohei Hashizume
- Canon Inc., Medical Imaging Development Center, 3-30-2, Shimomaruko, Ohta-ku, Tokyo 1468501, Japan
| | - Takahiro Suita
- Canon Inc., Medical Imaging Development Center, 3-30-2, Shimomaruko, Ohta-ku, Tokyo 1468501, Japan
| | - Ken-Ichi Nagae
- Canon Inc., Medical Imaging Development Center, 3-30-2, Shimomaruko, Ohta-ku, Tokyo 1468501, Japan
| | - Kazuhiko Fukutani
- Canon Inc., Medical Imaging Development Center, 3-30-2, Shimomaruko, Ohta-ku, Tokyo 1468501, Japan
| | - Yoshiaki Sudo
- Canon Inc., Medical Imaging Development Center, 3-30-2, Shimomaruko, Ohta-ku, Tokyo 1468501, Japan
| | - Toshikazu Matsushita
- Canon Inc., Medical Imaging Development Center, 3-30-2, Shimomaruko, Ohta-ku, Tokyo 1468501, Japan
| | - Shuichi Kobayashi
- Canon Inc., Medical Imaging Development Center, 3-30-2, Shimomaruko, Ohta-ku, Tokyo 1468501, Japan
| | - Mariko Tokiwa
- Kyoto University, Graduate School of Medicine, Department of Breast Surgery, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 6068507, Japan
| | - Iku Yamaga
- Kyoto University, Graduate School of Medicine, Department of Breast Surgery, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 6068507, Japan
| | - Elham Fakhrejahani
- Kyoto University, Graduate School of Medicine, Department of Breast Surgery, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 6068507, Japan
| | - Masae Torii
- Kyoto University, Graduate School of Medicine, Department of Breast Surgery, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 6068507, Japan
| | - Masahiro Kawashima
- Kyoto University, Graduate School of Medicine, Department of Breast Surgery, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 6068507, Japan
| | - Masahiro Takada
- Kyoto University, Graduate School of Medicine, Department of Breast Surgery, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 6068507, Japan
| | - Shotaro Kanao
- Kyoto University, Graduate School of Medicine, Department of Diagnostic Imaging and Nuclear Medicine, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 6068507, Japan
| | - Masako Kataoka
- Kyoto University, Graduate School of Medicine, Department of Diagnostic Imaging and Nuclear Medicine, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 6068507, Japan
| | - Tsuyoshi Shiina
- Kyoto University, Graduate School of Medicine, Department of Human Health Science, 53 Shogoin-Kawaharacho Sakyo-ku, Kyoto 6068507, Japan
| | - Masakazu Toi
- Kyoto University, Graduate School of Medicine, Department of Breast Surgery, 54 Shogoin-Kawaharacho Sakyo-ku, Kyoto 6068507, Japan
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10
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Zouaoui J, Di Sieno L, Hervé L, Pifferi A, Farina A, Mora AD, Derouard J, Dinten JM. Quantification in time-domain diffuse optical tomography using Mellin-Laplace transforms. BIOMEDICAL OPTICS EXPRESS 2016; 7:4346-4363. [PMID: 27867736 PMCID: PMC5102524 DOI: 10.1364/boe.7.004346] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Revised: 08/14/2016] [Accepted: 08/28/2016] [Indexed: 05/21/2023]
Abstract
Simulations and phantom measurements are used to evaluate the ability of time-domain diffuse optical tomography using Mellin-Laplace transforms to quantify the absorption perturbation of centimetric objects immersed at depth 1-2 cm in turbid media. We find that the estimated absorption coefficient varies almost linearly with the absorption change in the range of 0-0.15 cm-1 but is underestimated by a factor that depends on the inclusion depth (~2, 3 and 6 for depths of 1.0, 1.5 and 2.0 cm respectively). For larger absorption changes, the variation is sublinear with ~20% decrease for δμa = 0.37 cm-1. By contrast, constraining the absorption change to the actual volume of the inclusion may considerably improve the accuracy and linearity of the reconstructed absorption.
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Affiliation(s)
- Judy Zouaoui
- Univ. Grenoble Alpes, F-38000 Grenoble, France CEA, LETI, MINATEC Campus, F-38054 Grenoble, France
| | - Laura Di Sieno
- Politecnico di Milano, Dipartimento di Fisica, Piazza Leonardo da Vinci 32, Milano I-20133, Italy
| | - Lionel Hervé
- Univ. Grenoble Alpes, F-38000 Grenoble, France CEA, LETI, MINATEC Campus, F-38054 Grenoble, France
| | - Antonio Pifferi
- Politecnico di Milano, Dipartimento di Fisica, Piazza Leonardo da Vinci 32, Milano I-20133, Italy
| | - Andrea Farina
- Politecnico di Milano, Dipartimento di Fisica, Piazza Leonardo da Vinci 32, Milano I-20133, Italy
| | - Alberto Dalla Mora
- Politecnico di Milano, Dipartimento di Fisica, Piazza Leonardo da Vinci 32, Milano I-20133, Italy
| | | | - Jean-Marc Dinten
- Univ. Grenoble Alpes, F-38000 Grenoble, France CEA, LETI, MINATEC Campus, F-38054 Grenoble, France
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11
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Michaelsen KE, Krishnaswamy V, Shi L, Vedantham S, Karellas A, Pogue BW, Paulsen KD, Poplack SP. Effects of breast density and compression on normal breast tissue hemodynamics through breast tomosynthesis guided near-infrared spectral tomography. JOURNAL OF BIOMEDICAL OPTICS 2016; 21:91316. [PMID: 27677170 PMCID: PMC5038925 DOI: 10.1117/1.jbo.21.9.091316] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2016] [Accepted: 08/30/2016] [Indexed: 06/06/2023]
Abstract
Optically derived tissue properties across a range of breast densities and the effects of breast compression on estimates of hemoglobin, oxygen metabolism, and water and lipid concentrations were obtained from a coregistered imaging system that integrates near-infrared spectral tomography (NIRST) with digital breast tomosynthesis (DBT). Image data were analyzed from 27 women who underwent four IRB approved NIRST/DBT exams that included fully and mildly compressed breast acquisitions in two projections—craniocaudal (CC) and mediolateral-oblique (MLO)—and generated four data sets per patient (full and moderate compression in CC and MLO views). Breast density was correlated with HbT (r=0.64, p=0.001), water (r=0.62, p=0.003), and lipid concentrations (r=?0.74, p<0.001), but not oxygen saturation. CC and MLO views were correlated for individual subjects and demonstrated no statistically significant differences in grouped analysis. Comparison of compressed and uncompressed imaging demonstrated a significant decrease in oxygen saturation under compression (58% versus 50%, p=0.04). Mammographic breast density categorization was correlated with measured optically derived properties.
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Affiliation(s)
- Kelly E. Michaelsen
- Dartmouth College, Thayer School of Engineering, 14 Engineering Drive, Hanover, New Hampshire 03755, United States
| | - Venkataramanan Krishnaswamy
- Dartmouth College, Thayer School of Engineering, 14 Engineering Drive, Hanover, New Hampshire 03755, United States
| | - Linxi Shi
- Georgia Institute of Technology, School of Mechanical Engineering, 801 Ferst Drive, Atlanta, Georgia 30332, United States
| | - Srinivasan Vedantham
- University of Massachusetts Medical School, Department of Radiology, 55 Lake Avenue North, Worcester, Massachusetts 01655, United States
| | - Andrew Karellas
- University of Massachusetts Medical School, Department of Radiology, 55 Lake Avenue North, Worcester, Massachusetts 01655, United States
| | - Brian W. Pogue
- Dartmouth College, Thayer School of Engineering, 14 Engineering Drive, Hanover, New Hampshire 03755, United States
| | - Keith D. Paulsen
- Dartmouth College, Thayer School of Engineering, 14 Engineering Drive, Hanover, New Hampshire 03755, United States
| | - Steven P. Poplack
- Washington University School of Medicine, Mallinckrodt Institute of Radiology, 4921 Parkview Place, St. Louis, Missouri 63110, United States
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12
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KWONG TIFFANYC, HSING MITCHELL, LIN YUTING, THAYER DAVID, UNLU MEHMETBURCIN, SU MINYING, GULSEN GULTEKIN. Differentiation of tumor vasculature heterogeneity levels in small animals based on total hemoglobin concentration using magnetic resonance-guided diffuse optical tomography in vivo. APPLIED OPTICS 2016; 55:5479-87. [PMID: 27463894 PMCID: PMC6839944 DOI: 10.1364/ao.55.005479] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Insight into the vasculature of the tumor in small animals has the potential to impact many areas of cancer research. The heterogeneity of the vasculature of a tumor is directly related to tumor stage and disease progression. In this small scale animal study, we investigated the feasibility of differentiating tumors with different levels of vasculature heterogeneity in vivo using a previously developed hybrid magnetic resonance imaging (MRI) and diffuse optical tomography (DOT) system for small animal imaging. Cross-sectional total hemoglobin concentration maps of 10 Fisher rats bearing R3230 breast tumors are reconstructed using multi-wavelength DOT measurements both with and without magnetic resonance (MR) structural a priori information. Simultaneously acquired MR structural images are used to guide and constrain the DOT reconstruction, while dynamic contrast-enhanced MR functional images are used as the gold standard to classify the vasculature of the tumor into two types: high versus low heterogeneity. These preliminary results show that the stand-alone DOT is unable to differentiate tumors with low and high vascular heterogeneity without structural a priori information provided by a high resolution imaging modality. The mean total hemoglobin concentrations comparing the vasculature of the tumors with low and high heterogeneity are significant (p-value 0.02) only when MR structural a priori information is utilized.
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Affiliation(s)
- TIFFANY C. KWONG
- Tu and Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
| | - MITCHELL HSING
- Tu and Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
- Department of Electrical and Electronic Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - YUTING LIN
- Tu and Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02144, USA
| | - DAVID THAYER
- Tu and Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri 63110, USA
| | | | - MIN-YING SU
- Tu and Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
| | - GULTEKIN GULSEN
- Tu and Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, California 92697, USA
- Corresponding author:
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13
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Golnabi AH, Meaney PM, Paulsen KD. 3D microwave tomography of the breast using prior anatomical information. Med Phys 2016; 43:1933. [PMID: 27036589 DOI: 10.1118/1.4944592] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE The authors have developed a new 3D breast image reconstruction technique that utilizes the soft tissue spatial resolution of magnetic resonance imaging (MRI) and integrates the dielectric property differentiation from microwave imaging to produce a dual modality approach with the goal of augmenting the specificity of MR imaging, possibly without the need for nonspecific contrast agents. The integration is performed through the application of a soft prior regularization which imports segmented geometric meshes generated from MR exams and uses it to constrain the microwave tomography algorithm to recover nearly uniform property distributions within segmented regions with sharp delineation between these internal subzones. METHODS Previous investigations have demonstrated that this approach is effective in 2D simulation and phantom experiments and also in clinical exams. The current study extends the algorithm to 3D and provides a thorough analysis of the sensitivity and robustness to misalignment errors in size and location between the spatial prior information and the actual data. RESULTS Image results in 3D were not strongly dependent on reconstruction mesh density, and the changes of less than 30% in recovered property values arose from variations of more than 125% in target region size-an outcome which was more robust than in 2D. Similarly, changes of less than 13% occurred in the 3D image results from variations in target location of nearly 90% of the inclusion size. Permittivity and conductivity errors were about 5 times and 2 times smaller, respectively, with the 3D spatial prior algorithm in actual phantom experiments than those which occurred without priors. CONCLUSIONS The presented study confirms that the incorporation of structural information in the form of a soft constraint can considerably improve the accuracy of the property estimates in predefined regions of interest. These findings are encouraging and establish a strong foundation for using the soft prior technique in clinical studies, where their microwave imaging system and MRI can simultaneously collect breast exam data in patients.
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Affiliation(s)
- Amir H Golnabi
- Department of Mathematical Sciences, Montclair State University, Montclair, New Jersey 07043
| | - Paul M Meaney
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755
| | - Keith D Paulsen
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755; Department of Radiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire 03755; Norris Cotton Cancer Center, Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire 03756; and Advanced Surgical Center, Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire 03756
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14
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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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15
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Deng B, Brooks DH, Boas DA, Lundqvist M, Fang Q. Characterization of structural-prior guided optical tomography using realistic breast models derived from dual-energy x-ray mammography. BIOMEDICAL OPTICS EXPRESS 2015. [PMID: 26203367 PMCID: PMC4505695 DOI: 10.1364/boe.6.002366] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Multi-spectral near-infrared diffuse optical tomography (DOT) is capable of providing functional tissue assessment that can complement structural mammographic images for more comprehensive breast cancer diagnosis. To take full advantage of the readily available sub-millimeter resolution structural information in a multi-modal imaging setting, an efficient x-ray/optical joint image reconstruction model has been proposed previously to utilize anatomical information from a mammogram as a structural prior. In this work, we develop a complex digital breast phantom (available at http://openjd.sf.net/digibreast) based on direct measurements of fibroglandular tissue volume fractions using dual-energy mammographic imaging of a human breast. We also extend our prior-guided reconstruction algorithm to facilitate the recovery of breast tumors, and perform a series of simulation-based studies to systematically evaluate the impact of lesion sizes and contrasts, tissue background, mesh resolution, inaccurate priors, and regularization parameters, on the recovery of breast tumors using multi-modal DOT/x-ray measurements. Our studies reveal that the optical property estimation error can be reduced by half by utilizing structural priors; the minimum detectable tumor size can also be reduced by half when prior knowledge regarding the tumor location is provided. Moreover, our algorithm is shown to be robust to false priors on tumor location.
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Affiliation(s)
- Bin Deng
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA
| | - Dana H. Brooks
- BSPIRAL group and ECE Dept., Northeastern University, 360 Huntington Avenue, Boston, MA 02115, USA
| | - David A. Boas
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA
| | | | - Qianqian Fang
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA
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16
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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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17
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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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18
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Prakash J, Dehghani H, Pogue BW, Yalavarthy PK. Model-resolution-based basis pursuit deconvolution improves diffuse optical tomographic imaging. IEEE TRANSACTIONS ON MEDICAL IMAGING 2014; 33:891-901. [PMID: 24710158 DOI: 10.1109/tmi.2013.2297691] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
The image reconstruction problem encountered in diffuse optical tomographic imaging is ill-posed in nature, necessitating the usage of regularization to result in stable solutions. This regularization also results in loss of resolution in the reconstructed images. A frame work, that is attributed by model-resolution, to improve the reconstructed image characteristics using the basis pursuit deconvolution method is proposed here. The proposed method performs this deconvolution as an additional step in the image reconstruction scheme. It is shown, both in numerical and experimental gelatin phantom cases, that the proposed method yields better recovery of the target shapes compared to traditional method, without the loss of quantitativeness of the results.
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19
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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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20
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Lin Y, Gao H, Thayer D, Luk AL, Gulsen G. Photo-magnetic imaging: resolving optical contrast at MRI resolution. Phys Med Biol 2013; 58:3551-62. [PMID: 23640084 DOI: 10.1088/0031-9155/58/11/3551] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
In this paper, we establish the mathematical framework of a novel imaging technique, namely photo-magnetic imaging (PMI). PMI uses a laser to illuminate biological tissues and measure the induced temperature variations using magnetic resonance imaging (MRI). PMI overcomes the limitation of conventional optical imaging and allows imaging of the optical contrast at MRI spatial resolution. The image reconstruction for PMI, using a finite-element-based algorithm with an iterative approach, is presented in this paper. The quantitative accuracy of PMI is investigated for various inclusion sizes, depths and absorption values. Then, a comparison between conventional diffuse optical tomography (DOT) and PMI is carried out to illustrate the superior performance of PMI. An example is presented showing that two 2 mm diameter inclusions embedded 4.5 mm deep and located side by side in a 25 mm diameter circular geometry medium are recovered as a single 6 mm diameter object with DOT. However, these two objects are not only effectively resolved with PMI, but their true concentrations are also recovered successfully.
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Affiliation(s)
- Yuting Lin
- Tu and Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, CA, USA.
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21
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Flynn BP, DSouza AV, Kanick SC, Davis SC, Pogue BW. White light-informed optical properties improve ultrasound-guided fluorescence tomography of photoactive protoporphyrin IX. JOURNAL OF BIOMEDICAL OPTICS 2013; 18:046008. [PMID: 23584445 PMCID: PMC3639786 DOI: 10.1117/1.jbo.18.4.046008] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Subsurface fluorescence imaging is desirable for medical applications, including protoporphyrin-IX (PpIX)-based skin tumor diagnosis, surgical guidance, and dosimetry in photodynamic therapy. While tissue optical properties and heterogeneities make true subsurface fluorescence mapping an ill-posed problem, ultrasound-guided fluorescence-tomography (USFT) provides regional fluorescence mapping. Here USFT is implemented with spectroscopic decoupling of fluorescence signals (auto-fluorescence, PpIX, photoproducts), and white light spectroscopy-determined bulk optical properties. Segmented US images provide a priori spatial information for fluorescence reconstruction using region-based, diffuse FT. The method was tested in simulations, tissue homogeneous and inclusion phantoms, and an injected-inclusion animal model. Reconstructed fluorescence yield was linear with PpIX concentration, including the lowest concentration used, 0.025 μg/ml. White light spectroscopy informed optical properties, which improved fluorescence reconstruction accuracy compared to the use of fixed, literature-based optical properties, reduced reconstruction error and reconstructed fluorescence standard deviation by factors of 8.9 and 2.0, respectively. Recovered contrast-to-background error was 25% and 74% for inclusion phantoms without and with a 2-mm skin-like layer, respectively. Preliminary mouse-model imaging demonstrated system feasibility for subsurface fluorescence measurement in vivo. These data suggest that this implementation of USFT is capable of regional PpIX mapping in human skin tumors during photodynamic therapy, to be used in dosimetric evaluations.
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Affiliation(s)
- Brendan P. Flynn
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755
| | - Alisha V. DSouza
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755
| | - Stephen C. Kanick
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755
| | - Scott C. Davis
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755
| | - Brian W. Pogue
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755
- Address all correspondence to: Brian W. Pogue, Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755. Tel: (603) 646-3861; E-mail:
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22
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Prakash J, Yalavarthy PK. Data-resolution based optimal choice of minimum required measurements for image-guided diffuse optical tomography. OPTICS LETTERS 2013; 38:88-90. [PMID: 23454924 DOI: 10.1364/ol.38.000088] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Image-guided diffuse optical tomography has the advantage of reducing the total number of optical parameters being reconstructed to the number of distinct tissue types identified by the traditional imaging modality, converting the optical image-reconstruction problem from underdetermined in nature to overdetermined. In such cases, the minimum required measurements might be far less compared to those of the traditional diffuse optical imaging. An approach to choose these optimally based on a data-resolution matrix is proposed, and it is shown that such a choice does not compromise the reconstruction performance.
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Affiliation(s)
- Jaya Prakash
- Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, India
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23
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Zhang G, Cao X, Zhang B, Liu F, Luo J, Bai J. MAP estimation with structural priors for fluorescence molecular tomography. Phys Med Biol 2012; 58:351-72. [PMID: 23257468 DOI: 10.1088/0031-9155/58/2/351] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Fluorescence molecular tomography (FMT) is an attractive imaging tool for quantitatively and three-dimensionally resolving fluorophore distributions in small animals, but it suffers from low spatial resolution due to its inherent ill-posed nature. Structural priors obtained from a secondary modality system such as x-ray computed tomography or magnetic resonance imaging can help to improve FMT reconstruction results. However, challenge remains in how to fully take advantage of the structural priors while effectively avoid undesirable influence caused by an immoderate usage. In this paper, we propose a new method to resolve the FMT inverse problem based on maximum a posteriori (MAP) estimation with structural priors (MAP-SP) in a Bayesian framework. Instead of imposing the structural priors directly on the reconstruction results, the MAP-SP method utilizes them to constrain the unknown hyperparameters of the prior information model which is essential for the Bayesian framework. Then, a low dimensional inverse problem and an alternating optimization scheme are used to automatically calculate the unknown hyperparameters, which make the FMT reconstruction process self-adaptive. Simulation and phantom results show that the proposed MAP-SP method can effectively make use of the structural priors and leads to improvements in reconstruction quality as compared with traditional regularization methods.
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Affiliation(s)
- Guanglei Zhang
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, People's Republic of China
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24
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Michaelsen K, Krishnaswamy V, Pogue BW, Brooks K, Defreitas K, Shaw I, Poplack SP, Paulsen KD. Characterization of materials for optimal near-infrared and x-ray imaging of the breast. BIOMEDICAL OPTICS EXPRESS 2012; 3:2078-86. [PMID: 23024902 PMCID: PMC3447550 DOI: 10.1364/boe.3.002078] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2012] [Revised: 08/06/2012] [Accepted: 08/07/2012] [Indexed: 05/06/2023]
Abstract
Development of a detector case for complete co-registration of images in a non-fiber-based combined near-infrared spectral tomography and digital breast tomosynthesis, required analysis to find materials that could support a breast under full mammographic compression without affecting the x-ray images or the quality of the near infrared measurements. Several possible solutions were considered, and many types of plastics were tested in the development of the detector case. Light channeling within the detector case changed the data obtained in resin and agarose phantoms, lowering recovered absorption values. Additional developments focusing on blocking stray light were successful and permitted a normal subject imaging exam.
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Affiliation(s)
- Kelly Michaelsen
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA
| | | | - Brian W. Pogue
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA
| | | | | | - Ian Shaw
- Hologic Corp, Danbury, CT 06810, USA
| | - Steven P. Poplack
- Department of Diagnostic Radiology, Dartmouth Medical School, Lebanon, NH 03756, USA
| | - Keith D. Paulsen
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA
- Department of Diagnostic Radiology, Dartmouth Medical School, Lebanon, NH 03756, USA
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25
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Shaw CB, Yalavarthy PK. Effective contrast recovery in rapid dynamic near-infrared diffuse optical tomography using ℓ(1)-norm-based linear image reconstruction method. JOURNAL OF BIOMEDICAL OPTICS 2012; 17:086009. [PMID: 23224196 DOI: 10.1117/1.jbo.17.8.086009] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Traditional image reconstruction methods in rapid dynamic diffuse optical tomography employ ℓ(2)-norm-based regularization, which is known to remove the high-frequency components in the reconstructed images and make them appear smooth. The contrast recovery in these type of methods is typically dependent on the iterative nature of method employed, where the nonlinear iterative technique is known to perform better in comparison to linear techniques (noniterative) with a caveat that nonlinear techniques are computationally complex. Assuming that there is a linear dependency of solution between successive frames resulted in a linear inverse problem. This new framework with the combination of ℓ(1)-norm-based regularization can provide better robustness to noise and provide better contrast recovery compared to conventional ℓ(2)-based techniques. Moreover, it is shown that the proposed ℓ(1)-based technique is computationally efficient compared to its counterpart (ℓ(2)-based one). The proposed framework requires a reasonably close estimate of the actual solution for the initial frame, and any suboptimal estimate leads to erroneous reconstruction results for the subsequent frames.
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Affiliation(s)
- Calvin B Shaw
- Indian Institute of Science, Supercomputer Education and Research Centre, Bangalore 560012, India
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26
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Michaelsen K, Krishnaswamy V, Pogue BW, Poplack SP, Paulsen KD. Near-infrared spectral tomography integrated with digital breast tomosynthesis: effects of tissue scattering on optical data acquisition design. Med Phys 2012; 39:4579-87. [PMID: 22830789 PMCID: PMC3412435 DOI: 10.1118/1.4728228] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2012] [Revised: 05/22/2012] [Accepted: 05/23/2012] [Indexed: 12/11/2022] Open
Abstract
PURPOSE Design optimization and phantom validation of an integrated digital breast tomosynthesis (DBT) and near-infrared spectral tomography (NIRST) system targeting improvement in sensitivity and specificity of breast cancer detection is presented. Factors affecting instrumentation design include minimization of cost, complexity, and examination time while maintaining high fidelity NIRST measurements with sufficient information to recover accurate optical property maps. METHODS Reconstructed DBT slices from eight patients with abnormal mammograms provided anatomical information for the NIRST simulations. A limited frequency domain (FD) and extensive continuous wave (CW) NIRST system was modeled. The FD components provided tissue scattering estimations used in the reconstruction of the CW data. Scattering estimates were perturbed to study the effects on hemoglobin recovery. Breast mimicking agar phantoms with inclusions were imaged using the combined DBT∕NIRST system for comparison with simulation results. RESULTS Patient simulations derived from DBT images show successful reconstruction of both normal and malignant lesions in the breast. They also demonstrate the importance of accurately quantifying tissue scattering. Specifically, 20% errors in optical scattering resulted in 22.6% or 35.1% error in quantification of total hemoglobin concentrations, depending on whether scattering was over- or underestimated, respectively. Limited frequency-domain optical signal sampling provided two regions scattering estimates (for fat and fibroglandular tissues) that led to hemoglobin concentrations that reduced the error in the tumor region by 31% relative to when a single estimate of optical scattering was used throughout the breast volume of interest. Acquiring frequency-domain data with six wavelengths instead of three did not significantly improve the hemoglobin concentration estimates. Simulation results were confirmed through experiments in two-region breast mimicking gelatin phantoms. CONCLUSIONS Accurate characterization of scattering is necessary for quantification of hemoglobin. Based on this study, a system design is described to optimally combine breast tomosynthesis with NIRST.
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Affiliation(s)
- Kelly Michaelsen
- Thayer School of Engineering, Dartmouth College, Hanover, NH, USA.
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27
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Elwell CE, Cooper CE. Making light work: illuminating the future of biomedical optics. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2011; 369:4358-79. [PMID: 22006895 DOI: 10.1098/rsta.2011.0302] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
In 1996, the Royal Society held a Discussion Meeting entitled 'Near-infrared spectroscopy and imaging of living systems'. In 2010, this topic was revisited in a Theo Murphy Royal Society Scientific Discussion Meeting entitled 'Making light work: illuminating the future of biomedical optics'. The second meeting provided the opportunity for leading researchers to reflect on how the technology, methods and applications have evolved over the past 14 years and assess where they have made a major impact. Particular emphasis was placed on discussions of future prospects and associated challenges. This Introduction provides an overview of the state of the art of near-infrared spectroscopy (NIRS) and biomedical optics, with specific reference to the contributed papers from the invited speakers included in this issue. Importantly, we also reflect on the contributions from all of the attendees by highlighting the issues raised during oral presentations, facilitated panel sessions and discussions, and use these to summarize the current opinion on the development and application of optical systems for use in the clinical and life sciences. A notable outcome from the meeting was a plan to establish a biennial international conference for developers and users of NIRS technologies.
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Affiliation(s)
- Clare E Elwell
- Near Infrared Spectroscopy Research Group, Department of Medical Physics and Bioengineering, University College London, Malet Place Engineering Building, Gower Street, London WC1E 6BT, UK.
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