Optimal linear inverse solution with multiple priors in diffuse optical tomography.
A general framework for incorporating single and multiple priors in diffuse optical tomography is described. We explore the use of this framework for simultaneously utilizing spatial and spectral priors in the context of imaging breast cancer. The utilization of magnetic resonance images of water and lipid content as a statistical spatial prior for the diffuse optical image reconstructions is also discussed. Simulations are performed to demonstrate the significant improvement in image quality afforded by combining spatial and spectral priors.
Li
Ang
A
Department of Physics Tufts University, Medford, Massachusetts 02155, USA. angli@nmr.mgh.harvard.edu
Boverman
Greg
G
Zhang
Yiheng
Y
Brooks
Dana
D
Miller
Eric L
EL
Kilmer
Misha E
ME
Zhang
Quan
Q
Hillman
Elizabeth M C
EM
Boas
David A
DA
D000465:Algorithms; D001931:Brain Mapping / Q000379:methods; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D016014:Linear Models; D008279:Magnetic Resonance Imaging / Q000379:methods; D008954:Models, Biological; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D019265:Spectroscopy, Near-Infrared / Q000295:instrumentation / Q000379:methods*; D041622:Tomography, Optical / Q000295:instrumentation / Q000379:methods*