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Proceedings Paper

Tomographic reconstruction of Cerenkov photons in tissues through approximate message-passing
Author(s): Jianghong Zhong; Jie Tian; Haixiao Liu; Chenghu Qin; Xin Yang; Xibo Ma
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Paper Abstract

Solution with adjustable sparsity to tomographic imaging of Cerenkov photons is presented in this work. The sparsity of radionuclides' distribution in tissues is an objective but unknown fact, and the inverse model of qualitative data is an ill-posed problem. Based on the optimization technique, the uniqueness of numerical solution to the ill-conditioned compact operator can be guaranteed by use of sparse regularization with the approximate message-passing (AMP) method. After absorbing formulations with the AMP, we analyzed the behavior of the hard thresholding operator. Iteratively numerical solutions were used to approximate the real light source by assuming the number of non-zero solution in manual mode. This modified AMP algorithm was performed in numerical simulation and physical experiments with 2-[18F]fluoro-2-deoxy-D-glucose. Experimental results indicated that the proposed method was a kind of low-complexity iterative thresholding algorithms for reconstructing 3D sparse distribution from a small set of optical measurements.

Paper Details

Date Published: 14 February 2012
PDF: 6 pages
Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83143P (14 February 2012); doi: 10.1117/12.910774
Show Author Affiliations
Jianghong Zhong, Institute of Automation (China)
Jie Tian, Institute of Automation (China)
Haixiao Liu, Institute of Automation (China)
Chenghu Qin, Institute of Automation (China)
Xin Yang, Institute of Automation (China)
Xibo Ma, Institute of Automation (China)

Published in SPIE Proceedings Vol. 8314:
Medical Imaging 2012: Image Processing
David R. Haynor; Sébastien Ourselin, Editor(s)

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