1 January 2010 Multistage inversion algorithm for biological tissue imaging
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Abstract
A new inversion method for diffuse optical tomography is proposed. This is a multistage algorithm, that uses a signal subspace-based method to simplify the inverse problem and proposes a guided iterative inversion process to improve the imaging. First, subspace-based 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 (SPIE)
Krishna Agarwal, Ling Chen, Nanguang Chen, Xudong Chen, "Multistage inversion algorithm for biological tissue imaging," Journal of Biomedical Optics 15(1), 016007 (1 January 2010). https://doi.org/10.1117/1.3290809 . Submission:
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