A Robust Monte Carlo Model for the Extraction of Biological Absorption and Scattering<i>In Vivo</i>

Bender, Janelle E.; Vishwanath, Karthik; Moore, Laura; Brown, J. Quincy; Chang, Vivide Tuan-Chyan; Palmer, Gregory M.; Ramanujam, Nirmala

doi:10.1109/tbme.2008.2005994

Cited by 70 publications

(85 citation statements)

References 28 publications

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“…One phantom (Phantom #4) was also chosen as a reference phantom to put the measured and modeled diffuse reflectance on the same scale prior to the inversions. The choice of this reference phantom was based on the comprehensive reference phantom characterization reported by Bender et al [34]. The inverse Monte Carlo model was capable of extracting the optical properties of all pixels in <15 seconds.…”

Section: Tissue Mimicking Phantom Study Resultsmentioning

confidence: 99%

“…Our model can quickly generate optical properties (µ a and µ s ') for a given wavelength-dependent diffuse reflectance and specific probe geometry [35]. Previous studies demonstrating the extraction accuracy and robustness of the model have been reported [24][25][26]34].…”

Section: Monte Carlo Inverse Model Of Diffuse Reflectancementioning

confidence: 96%

“…Table 2 documents the expected optical properties of the 14 phantoms made for this phantom study, constructed using hemoglobin and polystyrene spheres. The optical property range (µ a and µ s ') was chosen to match those of the previous phantom studies used to characterize the clinical system to enable a direct comparison between the accuracy of the two systems [31,34]. To measure the diffuse reflectance of each of these phantoms, the probe tip was placed flush in contact with the surface of the liquid phantom.…”

Section: Tissue Mimicking Phantom Studymentioning

confidence: 99%

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A low-cost, portable, and quantitative spectral imaging system for application to biological tissues

Fu¹,

Yu²,

Lo³

et al. 2010

Opt. Express

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Abstract:The ability of diffuse reflectance spectroscopy to extract quantitative biological composition of tissues has been used to discern tissue types in both pre-clinical and clinical cancer studies. Typically, diffuse reflectance spectroscopy systems are designed for single-point measurements. Clinically, an imaging system would provide valuable spatial information on tissue composition. While it is feasible to build a multiplexed fiber-optic probe based spectral imaging system, these systems suffer from drawbacks with respect to cost and size. To address these we developed a compact and low cost system using a broadband light source with an 8-slot filter wheel for illumination and silicon photodiodes for detection. The spectral imaging system was tested on a set of tissue mimicking liquid phantoms which yielded an optical property extraction accuracy of 6.40 ± 7.78% for the absorption coefficient (µ a ) and 11.37 ± 19.62% for the wavelength-averaged reduced scattering coefficient (µ s '). ©2010 Optical Society of America

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Section: Tissue Mimicking Phantom Study Resultsmentioning

confidence: 99%

Section: Monte Carlo Inverse Model Of Diffuse Reflectancementioning

confidence: 96%

Section: Tissue Mimicking Phantom Studymentioning

confidence: 99%

See 1 more Smart Citation

A low-cost, portable, and quantitative spectral imaging system for application to biological tissues

Fu¹,

Yu²,

Lo³

et al. 2010

Opt. Express

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“…An inverse MC model 6 was used to extract the a and s Ј of the liquid phantoms. The model was validated in both phantom 6,10 and clinical studies. 7 The MC forward model assumes a set of absorbers ͑oxy-Hb with known extinction coefficients measured using a spectrophotometer in this case͒ are present in the medium.…”

mentioning

confidence: 99%

Cost-effective diffuse reflectance spectroscopy device for quantifying tissue absorption and scattering in vivo

Kuech

et al. 2008

J. Biomed. Opt.

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Abstract.A hybrid optical device that uses a multimode fiber coupled to a tunable light source for illumination and a 2.4-mm photodiode for detection in contact with the tissue surface is developed as a first step toward our goal of developing a cost-effective, miniature spectral imaging device to map tissue optical properties in vivo. This device coupled with an inverse Monte Carlo model of reflectance is demonstrated to accurately quantify tissue absorption and scattering in tissue-like turbid synthetic phantoms with a wide range of optical properties. The overall errors for quantifying the absorption and scattering coefficients are 6.0± 5.6 and 6.1± 4.7%, respectively. Compared with fiber-based detection, having the detector right at the tissue surface can significantly improve light collection efficiency, thus reducing the requirement for sophisticated detectors with high sensitivity, and this design can be easily expanded into a quantitative spectral imaging system for mapping tissue optical properties in vivo. © UV-visible diffuse reflectance spectroscopy ͑UV-VIS DRS͒ is sensitive to the absorption and scattering properties of biological molecules in tissue and thus can be used as a tool for quantitative tissue physiology in vivo. One major absorber of light in mucosal tissue in the visible range is hemoglobin ͑Hb͒, which shows distinctive, wavelength-dependent absorbance characteristics depending on its concentration and oxygenation. Tissue scattering is sensitive to the size and density of cellular structures such as nuclei and mitochondria. Thus, DRS of tissues can quantify changes in oxygenation, blood volume and alterations in cellular density and morphology. Some potential clinical applications of UV-VIS DRS include monitoring of tissue oxygenation, 1 precancer and cancer detection, 2,3 intraoperative tumor margin assessment, 4 and assessing tumor response to cancer therapy. 1Our group has developed a fiber optic DRS system 5 and a fast inverse Monte Carlo ͑MC͒ model of reflectance 6 to nondestructively and rapidly quantify tissue absorption and scattering properties. The system consists of a 450-W xenon lamp, a monochromator, a fiber optic probe, an imaging spectrograph, and a CCD camera. Previously published studies by our group 7 show that this technology is capable of quantifying breast tissue physiological and morphological properties, and that these quantities can be used to discern between malignant and non-malignant tissues with sensitivities and specificities exceeding 80%. Although this technology coupled with the MC model is a robust toolbox for quantifying tissue optical properties, this system suffers from several drawbacks similar to other spectrometers. First, optical fibers when used for detection, collect a relatively small portion of the remitted signal, thus high-quantum-efficiency, low-noise detectors are required to detect the signal, particularly in the UV-blue spectral region. Optical-fiber-based detection, while reasonable for single-point sampling, is unwieldy and expensive...

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“…A scalable inverse Monte Carlo model was used to extract tissue scattering, absorption and native fluorescence of 2-NBDG from in vivo optical measurements. The reflectance and fluorescence-based inverse Monte Carlo models have been described in detail previously [97][98][99][100]. Further, the fluorescence model has been validated for both single and multiple fluorophores in the sampled medium [100].…”

Section: Normal Mice and Solid Tumor Studiesmentioning

confidence: 99%

Harnessing the Power of Light to See and Treat Breast Cancer

Ramanujam¹

2013

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES) U.S. Army Medical Research And Material Command SPONSOR/MONITOR'S ACRONYM(S)Fort Detrick, Maryland 21702-5012 SPONSOR/MONITOR'S REPORT NUMBER(S) DISTRIBUTION / AVAILABILITY STATEMENTApproved for public release; distribution unlimited. SUPPLEMENTARY NOTESOur objective is to exploit the wealth of physiological, metabolic, morphological and molecular sources of optical contrast to develop novel strategies that focus on two breast cancer applications: tumor margin assessment and prediction of response to neo-adjuvant therapy. The proposed aims of this grant are expected to result in three major contributions. The first has the most immediate impact. An optically based strategy that can quickly and non-destructively detect positive tumor margins will decrease the need for re-excision surgery and thereby decrease the local recurrence rate and rate of distant metastases in women electing BCS. Gaining insight into the physiological, metabolic, morphological and molecular sources of heterogeneity within and among tumors and how they are modulated by therapy, drug resistance and metastatic potential will directly benefit prognostication, prediction of outcome and planning of cancer therapies. With these tools, clinicians and clinical researchers can get a better understanding of this disease and how it might react to a drug. Basic science researchers could use it as an informed approach to study tumor biology and assay the effect of novel therapeutic agents in vivo.

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A Robust Monte Carlo Model for the Extraction of Biological Absorption and ScatteringIn Vivo

Cited by 70 publications

References 28 publications

A low-cost, portable, and quantitative spectral imaging system for application to biological tissues

A low-cost, portable, and quantitative spectral imaging system for application to biological tissues

Cost-effective diffuse reflectance spectroscopy device for quantifying tissue absorption and scattering in vivo

Harnessing the Power of Light to See and Treat Breast Cancer

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