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Proceedings Paper

A fast reconstruction algorithm for bioluminescence tomography based on smoothed l0 norm regularization
Author(s): Xiaowei He; Jingjing Yu; Guohua Geng; Hongbo Guo
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Paper Abstract

As an important optical molecular imaging technique, bioluminescence tomography (BLT) offers an inexpensive and sensitive means for non-invasively imaging a variety of physiological and pathological activities at cellular and molecular levels in living small animals. The key problem of BLT is to recover the distribution of the internal bioluminescence sources from limited measurements on the surface. Considering the sparsity of the light source distribution, we directly formulate the inverse problem of BLT into an l0-norm minimization model and present a smoothed l0-norm (SL0) based reconstruction algorithm. By approximating the discontinuous l0 norm with a suitable continuous function, the SL0 norm method solves the problem of intractable computational load of the minimal l0 search as well as high sensitivity of l0-norm to noise. Numerical experiments on a mouse atlas demonstrate that the proposed SL0 norm based reconstruction method can obtain whole domain reconstruction without any a priori knowledge of the source permissible region, yielding almost the same reconstruction results to those of l1 norm methods.

Paper Details

Date Published: 27 October 2013
PDF: 8 pages
Proc. SPIE 8920, MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing, 89200Q (27 October 2013); doi: 10.1117/12.2031509
Show Author Affiliations
Xiaowei He, Northwest Univ. (China)
Jingjing Yu, Shaanxi Normal Univ. (China)
Guohua Geng, Northwest Univ. (China)
Hongbo Guo, Northwest Univ. (China)


Published in SPIE Proceedings Vol. 8920:
MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing
Jianguo Liu, Editor(s)

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