title: Optimal linear inverse solution with multiple priors in diffuse optical tomography.
abstract: 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.
authors.affiliation: Department of Physics Tufts University, Medford, Massachusetts 02155, USA. angli@nmr.mgh.harvard.edu
authors.forename: Ang
authors.initials: A
authors.lastname: Li
authors.forename: Greg
authors.initials: G
authors.lastname: Boverman
authors.forename: Yiheng
authors.initials: Y
authors.lastname: Zhang
authors.forename: Dana
authors.initials: D
authors.lastname: Brooks
authors.forename: Eric L
authors.initials: EL
authors.lastname: Miller
authors.forename: Misha E
authors.initials: ME
authors.lastname: Kilmer
authors.forename: Quan
authors.initials: Q
authors.lastname: Zhang
authors.forename: Elizabeth M C
authors.initials: EM
authors.lastname: Hillman
authors.forename: David A
authors.initials: DA
authors.lastname: Boas
mesh_terms: 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*