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Proceedings Paper

Calculation of local optical properties in highly scattering media using a-priori structural information for application to simultaneous NIR-MR breast examination
Author(s): Vasilis Ntziachristos; Arjun G. Yodh; Mitchell D. Schnall; XuHui Ma; Britton Chance
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Paper Abstract

A single photon counting NIR imager designed to work simultaneously with an MRI scanner for concurrent NIR-MR mammography has recently been developed. The combination of imaging modalities aims in effectively investigating the competence of optical imaging as a stand along modality and as an MRI add-on in order to increase the sensitivity and specificity of the mammoraphic examination. In this work we focus on the second aim. We present the methodology developed to employ the MR anatomical information in order to simplify the forward problem and accurately calculate local tissue optical properties, by fitting the NIR data to this model. Derivation of local optical properties due to intrinsic or extrinsic may identify the existence of malignant and benign breast tissue NIR signatures. We have evaluated the performance of the solver with experimental measurements, also presented here, from models with known absorption perturbations. The average quantification error of absolute absorption of local lesions has been found to be less than 10% in simple models and algorithm convergence is always ensured.

Paper Details

Date Published: 30 December 1998
PDF: 7 pages
Proc. SPIE 3566, Photon Propagation in Tissues IV, (30 December 1998); doi: 10.1117/12.334369
Show Author Affiliations
Vasilis Ntziachristos, Univ. of Pennsylvania School of Medicine (United States)
Arjun G. Yodh, Univ. of Pennsylvania (United States)
Mitchell D. Schnall, Univ. of Pennsylvania School of Medicine (United States)
XuHui Ma, Univ. of Pennsylvania School of Medicine (United States)
Britton Chance, Univ. of Pennsylvania School of Medicine (United States)

Published in SPIE Proceedings Vol. 3566:
Photon Propagation in Tissues IV
David A. Benaron; Britton Chance; Marco Ferrari; Matthias Kohl-Bareis, Editor(s)

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