Multistage inversion algorithm for biological tissue imaging

Abstract

A new inversion method for diffuse optical tomography is proposed. This is a multistage algorithm, that uses a signal subspacebased method to simplify the inverse problem and proposes a guided iterative inversion process to improve the imaging. First, subspacebased analysis is used to determine the voxels that definitely belong to the background and exclude them from further consideration. Then, the pseudo-inverse technique is applied for reconstruction. In the final stage, the reconstruction is improved iteratively by finding and excluding more voxels belonging to background. The method reduces the ill-posedness of the image reconstruction problem iteratively such that good imaging results are obtained for multiple heterogeneities having complicated geometries even in the presence of 3% additive white noise. © 2010 Society of Photo-Optical Instrumentation Engineers.