Tomographic reconstruction of Cerenkov photons in tissues through approximate message-passing

Jianghong Zhong; Jie Tian; Haixiao Liu; Chenghu Qin; Xin Yang; Xibo Ma

doi:10.1117/12.910774

14 February 2012 Tomographic reconstruction of Cerenkov photons in tissues through approximate message-passing

Jianghong Zhong, Jie Tian, Haixiao Liu, Chenghu Qin, Xin Yang, Xibo Ma

Proceedings Volume 8314, Medical Imaging 2012: Image Processing; 83143P (2012) https://doi.org/10.1117/12.910774
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

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.

Citation Download Citation

Jianghong Zhong, Jie Tian, Haixiao Liu, Chenghu Qin, Xin Yang, and Xibo Ma "Tomographic reconstruction of Cerenkov photons in tissues through approximate message-passing", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83143P (14 February 2012); https://doi.org/10.1117/12.910774

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