Standardized platform for coregistration of nonconcurrent diffuse optical and magnetic resonance breast images obtained in different geometries.
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.
Azar
Fred S
FS
Siemens Corporate Research, Department of Imaging and Visualization, 755 College Road East Princeton, New Jersy 08540, USA. fred.azar@siemens.com
Lee
Kijoon
K
Khamene
Ali
A
Choe
Regine
R
Corlu
Alper
A
Konecky
Soren D
SD
Sauer
Frank
F
Yodh
Arjun G
AG
D001943:Breast Neoplasms / Q000175:diagnosis*; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods / Q000592:standards*; D021621:Imaging, Three-Dimensional / Q000379:methods / Q000592:standards; D008279:Magnetic Resonance Imaging / Q000379:methods* / Q000592:standards*; D012015:Reference Standards; D012984:Software; D013382:Subtraction Technique / Q000592:standards*; D041622:Tomography, Optical / Q000379:methods* / Q000592:standards*; D014481:United States