A new general mathematical framework for bioluminescence tomography

被引:13
作者
Cheng, Xiaoliang [1 ]
Gong, Rongfang [1 ]
Han, Weimin [2 ]
机构
[1] Zhejiang Univ, Dept Math, Hangzhou 310027, Peoples R China
[2] Univ Iowa, Dept Math, Iowa City, IA 52242 USA
基金
中国国家自然科学基金;
关键词
bioluminescence tomography; inverse problem; well-posedness; numerical solution; error estimate;
D O I
10.1016/j.cma.2007.08.026
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Bioluminescence tomography (BLT) is a recently developed area in biomedical imaging. The goal of BLT is to quantitatively reconstruct a bioluminescent source distribution within a small animal from optical signals on the surface of the animal body. While there have been theoretical investigations of the BLT problem in the literature, in this paper, we propose a more general mathematical framework for a study of the BLT problem. For the proposed formulation, we establish a well-posedness result and explore its relation to the formulation studied previously in other papers. We introduce numerical methods for solving the BLT problem, show convergence, and derive error estimates for the discrete solutions. Numerical simulation results are presented showing improvement of solution accuracy with the new general mathematical framework over that with the standard formulation of BLT. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:524 / 535
页数:12
相关论文
共 19 条
[1]   Tomographic bioluminescence imaging by use of a combined optical-PET (OPET) system: a computer simulation feasibility study [J].
Alexandrakis, G ;
Rannou, FR ;
Chatziioannou, AF .
PHYSICS IN MEDICINE AND BIOLOGY, 2005, 50 (17) :4225-4241
[2]  
[Anonymous], 2011, P INT C IS INIR PET
[3]  
Atkinson K., 2005, Theoretical Numerical Analysis
[4]  
Cherry SR, 2004, PHYS MED BIOL, V49, pR13, DOI 10.1088/0031-9155/49/3/R01
[5]  
CIARLET P. G., 1978, The Finite Element Method for Elliptic Problems
[6]   Multispectral Bioluminescence Tomography: Methodology and Simulation [J].
Cong, Alexander X. ;
Wang, Ge .
INTERNATIONAL JOURNAL OF BIOMEDICAL IMAGING, 2006, 2006
[8]  
Evans L.C., 1998, PARTIAL DIFFERENTIAL
[9]  
Glashoff K, 1983, LINEAR OPTIMIZATION
[10]  
Grisvard P., 1985, ELLIPTIC PROBLEMS NO, V24