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Journal of Biomedical Optics

Standardized platform for coregistration of nonconcurrent diffuse optical and magnetic resonance breast images obtained in different geometries
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Paper Abstract

We present a novel methodology for combining breast image data obtained at different times, in different geometries, and by different techniques. We combine data based on diffuse optical tomography (DOT) and magnetic resonance imaging (MRI). The software platform integrates advanced multimodal registration and segmentation algorithms, requires minimal user experience, and employs computationally efficient techniques. The resulting superposed 3-D tomographs facilitate tissue analyses based on structural and functional data derived from both modalities, and readily permit enhancement of DOT data reconstruction using MRI-derived a-priori structural information. We demonstrate the multimodal registration method using a simulated phantom, and we present initial patient studies that confirm that tumorous regions in a patient breast found by both imaging modalities exhibit significantly higher total hemoglobin concentration (THC) than surrounding normal tissues. The average THC in the tumorous regions is one to three standard deviations larger than the overall breast average THC for all patients.

Paper Details

Date Published: 1 September 2007
PDF: 14 pages
J. Biomed. Opt. 12(5) 051902 doi: 10.1117/1.2798630
Published in: Journal of Biomedical Optics Volume 12, Issue 5
Show Author Affiliations
Fred S. Azar, Siemens Corporate Research (United States)
Kijoon Lee, Nanyang Technological Univ. (Singapore)
Ali Khamene, Siemens Corporate Research (United States)
Regine Choe, Univ. of Pennsylvania (United States)
Alper Corlu, Univ. of Pennsylvania (United States)
Soren David Konecky, Univ. of Pennsylvania (United States)
Frank Sauer, Siemens Corporate Research (United States)
Arjun G. Yodh, Univ. of Pennsylvania (United States)


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