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Dinh J, Yamashita A, Kang H, Gioux S, Choi HS. Optical Tissue Phantoms for Quantitative Evaluation of Surgical Imaging Devices. ADVANCED PHOTONICS RESEARCH 2023; 4:2200194. [PMID: 36643020 PMCID: PMC9838008 DOI: 10.1002/adpr.202200194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Optical tissue phantoms (OTPs) have been extensively applied to the evaluation of imaging systems and surgical training. Due to their human tissue-mimicking characteristics, OTPs can provide accurate optical feedback on the performance of image-guided surgical instruments, simulating the biological sizes and shapes of human organs, and preserving similar haptic responses of original tissues. This review summarizes the essential components of OTPs (i.e., matrix, scattering and absorbing agents, and fluorophores) and the various manufacturing methods currently used to create suitable tissue-mimicking phantoms. As photobleaching is a major challenge in OTP fabrication and its feedback accuracy, phantom photostability and how the photobleaching phenomenon can affect their optical properties are discussed. Consequently, the need for novel photostable OTPs for the quantitative evaluation of surgical imaging devices is emphasized.
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Affiliation(s)
- Jason Dinh
- Gordon Center for Medical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Atsushi Yamashita
- Gordon Center for Medical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Homan Kang
- Gordon Center for Medical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Sylvain Gioux
- Intuitive Surgical Sàrl, 1170 Aubonne, Switzerland
- ICube Laboratory, University of Strasbourg, 67081 Strasbourg, France
| | - Hak Soo Choi
- Gordon Center for Medical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02114, USA
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Jong LJS, de Kruif N, Geldof F, Veluponnar D, Sanders J, Vrancken Peeters MJTFD, van Duijnhoven F, Sterenborg HJCM, Dashtbozorg B, Ruers TJM. Discriminating healthy from tumor tissue in breast lumpectomy specimens using deep learning-based hyperspectral imaging. BIOMEDICAL OPTICS EXPRESS 2022; 13:2581-2604. [PMID: 35774331 PMCID: PMC9203093 DOI: 10.1364/boe.455208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 03/09/2022] [Accepted: 03/10/2022] [Indexed: 06/15/2023]
Abstract
Achieving an adequate resection margin during breast-conserving surgery remains challenging due to the lack of intraoperative feedback. Here, we evaluated the use of hyperspectral imaging to discriminate healthy tissue from tumor tissue in lumpectomy specimens. We first used a dataset obtained on tissue slices to develop and evaluate three convolutional neural networks. Second, we fine-tuned the networks with lumpectomy data to predict the tissue percentages of the lumpectomy resection surface. A MCC of 0.92 was achieved on the tissue slices and an RMSE of 9% on the lumpectomy resection surface. This shows the potential of hyperspectral imaging to classify the resection margins of lumpectomy specimens.
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Affiliation(s)
- Lynn-Jade S. Jong
- Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Faculty of Science and Technology, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands
- Equal contributors
| | - Naomi de Kruif
- Department of Biomedical Engineering, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands
- Equal contributors
| | - Freija Geldof
- Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Faculty of Science and Technology, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands
| | - Dinusha Veluponnar
- Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Faculty of Science and Technology, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands
| | - Joyce Sanders
- Department of Pathology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | | | - Frederieke van Duijnhoven
- Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - Henricus J. C. M. Sterenborg
- Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Center, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Behdad Dashtbozorg
- Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Department of Biomedical Engineering, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands
| | - Theo J. M. Ruers
- Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Faculty of Science and Technology, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands
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Greene E, Flees J, Dadgar S, Mallmann B, Orlowski S, Dhamad A, Rochell S, Kidd M, Laurendon C, Whitfield H, Brearley C, Rajaram N, Walk C, Dridi S. Quantum Blue Reduces the Severity of Woody Breast Myopathy via Modulation of Oxygen Homeostasis-Related Genes in Broiler Chickens. Front Physiol 2019; 10:1251. [PMID: 31632293 PMCID: PMC6781743 DOI: 10.3389/fphys.2019.01251] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 09/12/2019] [Indexed: 12/19/2022] Open
Abstract
The incidence of woody breast (WB) is increasing on a global scale representing a significant welfare problem and economic burden to the poultry industry and for which there is no effective treatment due to its unknown etiology. In this study, using diffuse reflectance spectroscopy (DRS) coupled with iSTAT portable clinical analyzer, we provide evidence that the circulatory- and breast muscle-oxygen homeostasis is dysregulated [low oxygen and hemoglobin (HB) levels] in chickens with WB myopathy compared to healthy counterparts. Molecular analysis showed that blood HB subunit Mu (HBM), Zeta (HBZ), and hephaestin (HEPH) expression were significantly down regulated; however, the expression of the subunit rho of HB beta (HBBR) was upregulated in chicken with WB compared to healthy counterparts. The breast muscle HBBR, HBE, HBZ, and hypoxia-inducible factor prolyl hydroxylase 2 (PHD2) mRNA abundances were significantly down regulated in WB-affected compared to normal birds. The expression of HIF-1α at mRNA and protein levels was significantly induced in breasts of WB-affected compared to unaffected birds confirming a local hypoxic status. The phosphorylated levels of the upstream mediators AKT at Ser473 site, mTOR at Ser2481 site, and PI3K P85 at Tyr458 site, as well as their mRNA levels were significantly increased in breasts of WB-affected birds. In attempt to identify a nutritional strategy to reduce WB incidence, male broiler chicks (Cobb 500, n = 576) were randomly distributed into 48 floor pens and subjected to six treatments (12 birds/pen; 8 pens/treatment): a nutrient adequate control group (PC), the PC supplemented with 0.3% myo-inositol (PC + MI), a negative control (NC) deficient in available P and Ca by 0.15 and 0.16%, respectively, the NC fed with quantum blue (QB) at 500 (NC + 500 FTU), 1,000 (NC + 1,000 FTU), or 2,000 FTU/kg of feed (NC + 2,000 FTU). Although QB-enriched diets did not affect growth performances (FCR and FE), it did reduce the severity of WB by 5% compared to the PC diet. This effect is mediated by reversing the expression profile of oxygen homeostasis-related genes; i.e., significant down regulation of HBBR and upregulation of HBM, HBZ, and HEPH in blood, as well as a significant upregulation of HBA1, HBBR, HBE, HBZ, and PHD2 in breast muscle compared to the positive control.
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Affiliation(s)
- Elizabeth Greene
- Center of Excellence for Poultry Science, University of Arkansas, Fayetteville, AR, United States
| | - Joshua Flees
- Center of Excellence for Poultry Science, University of Arkansas, Fayetteville, AR, United States
| | - Sina Dadgar
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR, United States
| | - Barbara Mallmann
- Center of Excellence for Poultry Science, University of Arkansas, Fayetteville, AR, United States
| | - Sara Orlowski
- Center of Excellence for Poultry Science, University of Arkansas, Fayetteville, AR, United States
| | - Ahmed Dhamad
- Center of Excellence for Poultry Science, University of Arkansas, Fayetteville, AR, United States
| | - Samuel Rochell
- Center of Excellence for Poultry Science, University of Arkansas, Fayetteville, AR, United States
| | - Michael Kidd
- Center of Excellence for Poultry Science, University of Arkansas, Fayetteville, AR, United States
| | - Caroline Laurendon
- School of Biological Sciences, University of East Anglia, Norwich, United Kingdom
| | - Hayley Whitfield
- School of Biological Sciences, University of East Anglia, Norwich, United Kingdom
| | - Charles Brearley
- School of Biological Sciences, University of East Anglia, Norwich, United Kingdom
| | - Narasimhan Rajaram
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR, United States
| | | | - Sami Dridi
- Center of Excellence for Poultry Science, University of Arkansas, Fayetteville, AR, United States
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Petitdidier N, Koenig A, Gerbelot R, Grateau H, Gioux S, Jallon P. Contact, high-resolution spatial diffuse reflectance imaging system for skin condition diagnosis. JOURNAL OF BIOMEDICAL OPTICS 2018; 23:1-9. [PMID: 30426730 DOI: 10.1117/1.jbo.23.11.115003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 10/15/2018] [Indexed: 06/09/2023]
Abstract
Spatially resolved diffuse reflectance spectroscopy (srDRS) is a well-established technique for noninvasive, in vivo characterization of tissue optical properties toward diagnostic applications. srDRS has a potential for depth-resolved analysis of tissue, which is desired in various clinical situations. However, current fiber-based and photodiode-based systems have difficulties achieving this goal due to challenges in sampling the reflectance with a high enough resolution. We introduce a compact, low-cost architecture for srDRS based on the use of a multipixel imaging sensor and light-emitting diodes to achieve lensless diffuse reflectance imaging in contact with the tissue with high spatial resolution. For proof-of-concept, a prototype device, involving a commercially available complementary metal-oxide semiconductor coupled with a fiber-optic plate, was fabricated. Diffuse reflectance profiles were acquired at 645 nm at source-to-detector separations ranging from 480 μm to 4 mm with a resolution of 16.7 μm. Absorption coefficients (μa) and reduced scattering coefficients (μs') of homogeneous tissue-mimicking phantoms were measured with 4.2 ± 3.5 % and 7.0 ± 4.6 % error, respectively. The results obtained confirm the potential of our approach for quantitative characterization of tissue optical properties in contact imaging modality. This study is a first step toward the development of low-cost, wearable devices for skin condition diagnosis in vivo.
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Affiliation(s)
- Nils Petitdidier
- Univ. Grenoble Alpes, France
- Lab. des sciences de l'Ingénieur, de l'Informatique et de l'Imagerie, France
- Univ. de Strasbourg, France
| | | | | | | | - Sylvain Gioux
- Lab. des sciences de l'Ingénieur, de l'Informatique et de l'Imagerie, France
- Univ. de Strasbourg, France
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Miller DM, Jokerst NM. Flexible silicon sensors for diffuse reflectance spectroscopy of tissue. BIOMEDICAL OPTICS EXPRESS 2017; 8:1512-1524. [PMID: 28663846 PMCID: PMC5480561 DOI: 10.1364/boe.8.001512] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Revised: 01/28/2017] [Accepted: 02/09/2017] [Indexed: 05/03/2023]
Abstract
Diffuse reflectance spectroscopy (DRS) is being used in exploratory clinical applications such as cancer margin assessment on excised tissue. However, when interrogating nonplanar tissue anomalies can arise from non-uniform pressure. Herein is reported the design, fabrication, and test of flexible, thin film silicon photodetectors (PDs) bonded to a flexible substrate designed for use in conformal DRS. The PDs have dark currents and responsivities comparable to conventional Si PDs, and were characterized while flat and while flexed at multiple radii of curvature using liquid phantoms mimicking adipose and malignant breast tissue. The DRS and nearest neighbor crosstalk results were compared with Monte Carlo simulations, showing good agreement between simulation and experiment.
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Nichols BS, Llopis A, Palmer GM, McCachren SS, Senlik O, Miller D, Brooke MA, Jokerst NM, Geradts J, Greenup R, Ramanujam N. Miniature spectral imaging device for wide-field quantitative functional imaging of the morphological landscape of breast tumor margins. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:26007. [PMID: 28241273 PMCID: PMC5321165 DOI: 10.1117/1.jbo.22.2.026007] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Accepted: 01/26/2017] [Indexed: 05/14/2023]
Abstract
We have developed a portable, breast margin assessment probe leveraging diffuse optical spectroscopy to quantify the morphological landscape of breast tumor margins during breast conserving surgery. The approach presented here leverages a custom-made 16-channel annular photodiode imaging array (arranged in a 4 × 4 grid), a raster-scanning imaging platform with precision pressure control, and compressive sensing with an optimized set of eight wavelengths in the visible spectral range. A scalable Monte-Carlo-based inverse model is used to generate optical property [ ? s ? ( ? ) and ? a ( ? ) ] measures for each of the 16 simultaneously captured diffuse reflectance spectra. Subpixel sampling (0.75 mm) is achieved through incremental x , y raster scanning of the imaging probe, providing detailed optical parameter maps of breast margins over a 2 × 2 ?? cm 2 area in ? 9 ?? min . The morphological landscape of a tumor margin is characterized using optical surrogates for the fat to fibroglandular content ratio, which has demonstrated diagnostic utility in delineating tissue subtypes in the breast.
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Affiliation(s)
- Brandon S. Nichols
- Duke University, Pratt School of Engineering, Department of Biomedical Engineering, Durham, North Carolina, United States
| | - Antonio Llopis
- Duke University, Pratt School of Engineering, Department of Electrical Engineering, Durham, North Carolina, United States
| | - Gregory M. Palmer
- Duke University Medical Center, Department of Radiation Oncology, Medicine Circle, Durham, North Carolina, United States
| | - Samuel S. McCachren
- Duke University, Pratt School of Engineering, Department of Biomedical Engineering, Durham, North Carolina, United States
| | - Ozlem Senlik
- Duke University, Pratt School of Engineering, Department of Electrical Engineering, Durham, North Carolina, United States
| | - David Miller
- Duke University, Pratt School of Engineering, Department of Electrical Engineering, Durham, North Carolina, United States
| | - Martin A. Brooke
- Duke University, Pratt School of Engineering, Department of Electrical Engineering, Durham, North Carolina, United States
| | - Nan M. Jokerst
- Duke University, Pratt School of Engineering, Department of Electrical Engineering, Durham, North Carolina, United States
| | - Joseph Geradts
- Duke University Medical Center, Department of Pathology, Durham, North Carolina, United States
| | - Rachel Greenup
- Duke University Medical Center, Department of Surgery, Durham, North Carolina, United States
| | - Nimmi Ramanujam
- Duke University, Pratt School of Engineering, Department of Biomedical Engineering, Durham, North Carolina, United States
- Address all correspondence to: Nimmi Ramanujam, E-mail:
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Dhar S, Miller DM, Jokerst NM. High responsivity, low dark current, heterogeneously integrated thin film Si photodetectors on rigid and flexible substrates. OPTICS EXPRESS 2014; 22:5052-9. [PMID: 24663844 PMCID: PMC4086330 DOI: 10.1364/oe.22.005052] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2013] [Revised: 02/15/2014] [Accepted: 02/17/2014] [Indexed: 05/20/2023]
Abstract
We report thin film single crystal silicon photodetectors (PDs), composed of 13- 25 μm thick silicon, heterogeneously bonded to transparent Pyrex® and flexible Kapton® substrates. The measured responsivity and dark current density of the PDs on pyrex is 0.19 A/W - 0.34 A/W (λ = 470 nm - 600 nm) and 0.63 nA/cm(2), respectively, at ~0V bias. The measured responsivity and dark current density of the flexible PDs is 0.16 A/W - 0.26 A/W (λ = 470 nm - 600 nm) and 0.42 nA/cm(2), respectively, at a ~0V bias. The resulting responsivity-to-dark current density ratios for the reported rigid and flexible PDs are 0.3-0.54 cm(2)/nW and 0.38-0.62 cm(2)/nW, respectively. These are the highest reported responsivity-to-dark current density ratios for heterogeneously bonded thin film single crystal Si PDs, to the best of our knowledge. These PDs are customized for applications in biomedical imaging and integrated biochemical sensing.
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Affiliation(s)
- Sulochana Dhar
- Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina 27708, USA
- Currently at Intel Corporation, Elam Young Parkway, Hillsboro, Oregon 97124, USA
| | - David M. Miller
- Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina 27708, USA
| | - Nan M. Jokerst
- Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina 27708, USA
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Hu F, Vishwanath K, Lo J, Erkanli A, Mulvey C, Lee WT, Ramanujam N. Rapid determination of oxygen saturation and vascularity for cancer detection. PLoS One 2013; 8:e82977. [PMID: 24358243 PMCID: PMC3865147 DOI: 10.1371/journal.pone.0082977] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2013] [Accepted: 11/01/2013] [Indexed: 01/22/2023] Open
Abstract
A rapid heuristic ratiometric analysis for estimating tissue hemoglobin concentration and oxygen saturation from measured tissue diffuse reflectance spectra is presented. The analysis was validated in tissue-mimicking phantoms and applied to clinical measurements in head and neck, cervical and breast tissues. The analysis works in two steps. First, a linear equation that translates the ratio of the diffuse reflectance at 584 nm and 545 nm to estimate the tissue hemoglobin concentration using a Monte Carlo-based lookup table was developed. This equation is independent of tissue scattering and oxygen saturation. Second, the oxygen saturation was estimated using non-linear logistic equations that translate the ratio of the diffuse reflectance spectra at 539 nm to 545 nm into the tissue oxygen saturation. Correlations coefficients of 0.89 (0.86), 0.77 (0.71) and 0.69 (0.43) were obtained for the tissue hemoglobin concentration (oxygen saturation) values extracted using the full spectral Monte Carlo and the ratiometric analysis, for clinical measurements in head and neck, breast and cervical tissues, respectively. The ratiometric analysis was more than 4000 times faster than the inverse Monte Carlo analysis for estimating tissue hemoglobin concentration and oxygen saturation in simulated phantom experiments. In addition, the discriminatory power of the two analyses was similar. These results show the potential of such empirical tools to rapidly estimate tissue hemoglobin in real-time spectral imaging applications.
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Affiliation(s)
- Fangyao Hu
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America
- * E-mail:
| | - Karthik Vishwanath
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America
| | - Justin Lo
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America
| | - Alaattin Erkanli
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, United States of America
| | - Christine Mulvey
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America
| | - Walter T. Lee
- Division of Otolaryngology–Head and Neck Surgery, Duke University Medical Center, Durham, North Carolina, United States of America
- Section of Otolaryngology–Head and Neck Surgery, Veterans Administration Medical Center, Durham, North Carolina, United States of America
| | - Nimmi Ramanujam
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America
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Lo JY, Brown JQ, Dhar S, Yu B, Palmer GM, Jokerst NM, Ramanujam N. Wavelength optimization for quantitative spectral imaging of breast tumor margins. PLoS One 2013; 8:e61767. [PMID: 23613927 PMCID: PMC3629043 DOI: 10.1371/journal.pone.0061767] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2012] [Accepted: 03/13/2013] [Indexed: 12/22/2022] Open
Abstract
A wavelength selection method that combines an inverse Monte Carlo model of reflectance and a genetic algorithm for global optimization was developed for the application of spectral imaging of breast tumor margins. The selection of wavelengths impacts system design in cost, size, and accuracy of tissue quantitation. The minimum number of wavelengths required for the accurate quantitation of tissue optical properties is 8, with diminishing gains for additional wavelengths. The resulting wavelength choices for the specific probe geometry used for the breast tumor margin spectral imaging application were tested in an independent pathology-confirmed ex vivo breast tissue data set and in tissue-mimicking phantoms. In breast tissue, the optical endpoints (hemoglobin, β-carotene, and scattering) that provide the contrast between normal and malignant tissue specimens are extracted with the optimized 8-wavelength set with <9% error compared to the full spectrum (450–600 nm). A multi-absorber liquid phantom study was also performed to show the improved extraction accuracy with optimization and without optimization. This technique for selecting wavelengths can be used for designing spectral imaging systems for other clinical applications.
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Affiliation(s)
- Justin Y Lo
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.
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