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1 September 2007 Standardized platform for coregistration of nonconcurrent diffuse optical and magnetic resonance breast images obtained in different geometries
Fred S. Azar, Kijoon Lee, Ali Khamene, Regine Choe, Alper Corlu, Soren David Konecky, Frank Sauer, Arjun G. Yodh
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Journal of Biomedical Optics, Vol. 12, Issue 5, 051902 (September 2007). https://doi.org/10.1117/1.2798630
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.
©(2007) Society of Photo-Optical Instrumentation Engineers (SPIE)
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Fred S. Azar, Kijoon Lee, Ali Khamene, Regine Choe, Alper Corlu, Soren David Konecky, Frank Sauer, and Arjun G. Yodh "Standardized platform for coregistration of nonconcurrent diffuse optical and magnetic resonance breast images obtained in different geometries," Journal of Biomedical Optics 12(5), 051902 (1 September 2007). https://doi.org/10.1117/1.2798630
Published: 1 September 2007
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KEYWORDS
Magnetic resonance imaging
Image registration
Breast
Tumors
Image segmentation
Imaging systems
Visualization
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