稀疏正则和自适应有限元的荧光分子断层成像

doi:10.3969/j.issn.1001-2400.2015.02.029

J4 ›› 2015, Vol. 42 ›› Issue (2): 174-179.doi: 10.3969/j.issn.1001-2400.2015.02.029

稀疏正则和自适应有限元的荧光分子断层成像

程璟星¹;侯榆青¹;董芳¹;贺小伟¹;余景景²

(1. 西北大学信息科学与技术学院，陕西西安 710069; 2. 陕西师范大学物理学与信息技术学院，陕西西安 710062)

收稿日期:2013-12-25 修回日期:2014-04-08 出版日期:2015-04-20 发布日期:2015-04-14
通讯作者: 贺小伟
作者简介:程璟星(1989-)，男，西北大学硕士研究生，E-mail: chengjingxingying@163.com．
基金资助:
国家自然科学基金资助项目(61372046)；中国博士后科学基金资助项目(2012T50814)；高校博士学科点专项科研基金资助项目(20116101120018)；陕西省科技计划资助项目(2012 KJXX- 29，2013K12-20-12)；陕西省基础研究计划资助项目(2011JQ1006)；西安科技计划资助项目(CXY1348(2))；西北大学研究生创新资助项目(YZZ12093)

Fluorescence molecular tomography based on the sparse regularization and adaptive finite element method

CHENG Jingxing¹;HOU Yuqing¹;DONG Fang¹;HE Xiaowei¹;YU Jingjing²

(1. School of Information Sciences and Technology, Northwest Univ., Xi'an 710069, China; 2. School of Physics and Information Technology, Shaanxi Normal Univ., Xi'an 710062, China)

Received:2013-12-25 Revised:2014-04-08 Online:2015-04-20 Published:2015-04-14
Contact: HE Xiaowei

摘要/Abstract

摘要： 提出了一种基于稀疏正则和自适应有限元方法的两阶重建算法，在初始网格和次级网格光源重建实验中，根据重建问题的特点，选用两种不同的稀疏正则化方法．通过仿真实验表明，所提出的方法在荧光分子断层成像重建应用方面具有可行性、稳定性和高效性．

关键词: 荧光分子断层成像, 稀疏正则化, 重建算法

Abstract: A two-stage reconstruction algorithm that combines sparse regularization with the adaptive finite element method is proposed, and two different inversion algorithms are employed separately on the initial coarse mesh and the second refined one. Numerical simulation results with a digital mouse model demonstrate the stability and computational efficiency of the proposed method for FMT.

Key words: fluorescence molecular tomography, sparse regularization, refluorescence molecular tomography, sparse regularization, reconstruction algorithm

程璟星;侯榆青;董芳;贺小伟;余景景. 稀疏正则和自适应有限元的荧光分子断层成像 [J]. J4, 2015, 42(2): 174-179.

CHENG Jingxing;HOU Yuqing;DONG Fang;HE Xiaowei;YU Jingjing. Fluorescence molecular tomography based on the sparse regularization and adaptive finite element method [J]. J4, 2015, 42(2): 174-179.

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稀疏正则和自适应有限元的荧光分子断层成像

Fluorescence molecular tomography based on the sparse regularization and adaptive finite element method

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