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Fast reconstruction in fluorescence molecular tomography using data compression of intra- and inter-projections

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Abstract

In order to improve the reconstruction accuracy in fluorescence molecular tomography (FMT), a common approach is to increase the number of fluorescence data or projections. However, this approach consumes too much memory space and computational time. In this Letter, a data compression strategy that involves the removal of the redundant information from both intra- and inter-projections is proposed to reduce the dimension of the FMT inverse problem. The performance of this strategy is tested with phantom and in vivo mouse experiments. The results demonstrate that the proposed data compression strategy can accelerate the FMT reconstruction nearly tenfold and almost without any quality degradation.

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DOI:10.3788/col201513.071002

所属栏目:Image processing

收稿日期:2014-11-20

录用日期:2015-04-29

网络出版日期:2015-06-04

作者单位    点击查看

Jiulou Zhang:Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
Junwei Shi:Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
Simin Zuo:Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
Fei Liu:Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, ChinaTsinghua-Peking Center for Life Sciences, Beijing 100084, China
Jing Bai:Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
Jianwen Luo:Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, ChinaCenter for Biomedical Imaging Research, Tsinghua University, Beijing 100084, China

联系人作者:联系作者(luo_jianwen@tsinghua.edu.cn)

备注:This work was supported by the National Basic Research Program of China (No. 2011CB707701), the National Natural Science Foundation of China (Nos. 81227901, 81271617, 61322101, 61361160418, and 61401246), the National Major Scientific Instrument and Equipment Development Project (No. 2011YQ030114), the China Postdoctoral Science Foundation (No. 2014M550073), and Fei Liu is supported in part by the Postdoctoral Fellowship of Tsinghua-Peking Center for Life Sciences.

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