Optimal linear inverse solution with multiple priors in diffuse optical tomography.

Ang Li; Greg Boverman; Yiheng Zhang; Dana Brooks; Eric L Miller; Misha E Kilmer; Quan Zhang; Elizabeth M C Hillman; David A Boas

doi:10.1364/ao.44.001948

PubMed · 15813531

Optimal linear inverse solution with multiple priors in diffuse optical tomography.

Ang Li·Greg Boverman·Yiheng Zhang·Dana Brooks·Eric L Miller·Misha E Kilmer·Quan Zhang·Elizabeth M C Hillman·David A Boas

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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.

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Algorithms Brain Mapping Humans Image Interpretation, Computer-Assisted Linear Models Magnetic Resonance Imaging Models, Biological Phantoms, Imaging Reproducibility of Results Sensitivity and Specificity Spectroscopy, Near-Infrared Tomography, Optical Evaluation Study Journal Article Research Support, U.S. Gov't, Non-P.H.S.Research Support, U.S. Gov't, P.H.S.

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Ang Li, Greg Boverman, Yiheng Zhang, Dana Brooks, Eric L Miller, Misha E Kilmer, Quan Zhang, Elizabeth M C Hillman, David A Boas. 2005-04-01. Optimal linear inverse solution with multiple priors in diffuse optical tomography.. https://doi.org/10.1364/ao.44.001948

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