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Proceedings Paper

Accelerating spatially non-uniform update for sparse target recovery in fluorescence molecular tomography by ordered subsets and momentum methods
Author(s): Dianwen Zhu; Changqing Li
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Paper Abstract

Fluorescence molecular tomography (FMT) is a significant preclinical imaging modality that has been actively studied in the past two decades. However, it remains a challenging task to obtain fast and accurate reconstruction of fluorescent probe distribution in small animals due to the large computational burden and the ill-posed nature of the inverse problem. We have recently studied a non-uniform multiplicative updating algorithm, and obtained some further speed gain with the ordered subsets (OS) method. However, increasing the number of OS leads to larger approximation errors and the speed gain from larger number of OS is marginal. In this paper, we propose to further enhance the convergence speed by incorporating the first order momentum method that uses previous iterations to achieve a quadratic convergence rate. Using cubic phantom experiment, we have shown that the proposed method indeed leads to a much faster convergence.

Paper Details

Date Published: 5 March 2015
PDF: 6 pages
Proc. SPIE 9319, Optical Tomography and Spectroscopy of Tissue XI, 93190U (5 March 2015); doi: 10.1117/12.2076789
Show Author Affiliations
Dianwen Zhu, Univ. of California, Merced (United States)
Changqing Li, Univ. of California, Merced (United States)

Published in SPIE Proceedings Vol. 9319:
Optical Tomography and Spectroscopy of Tissue XI
Bruce J. Tromberg; Arjun G. Yodh; Eva Marie Sevick-Muraca; Robert R. Alfano, Editor(s)

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