Paper Info
Title
A Multi-Scale Method for Bioluminescence Tomography Using Multiple Types of A Priori Information.
Abstract
Bioluminescence tomography (BLT) is a novel in vivo tech- nique which may reveal the molecular and cellular activity at the whole-body level in small animal studies. In order to reconstruct bioluminescence sources accurately, it is neces- sary to incorporate all types of a priori information available and develop novel reconstruction algorithms. In this paper, a multi-scale method is proposed for BLT based on adap- tive finite element analysis. Specifically, multiple constraints, including multi-spectral measurements, anatomical and opti- cal knowledge, are imposed to deal with the solution non- uniqueness of BLT. Also, adaptive finite element meshing and permissible source region refinement are utilized to help im- prove the reconstruction quality and speed. Finally, with the micro-MRI based virtual mouse phantom (MOBY) and the Monte Carlo based synthetic data, the feasibility and effec- tiveness of this BLT approach is demonstrated.
Year
DOI
Venue
2007
10.1109/ISBI.2007.356977
ISBI
Keywords
Field
DocType
indexing terms,knowledge base,monte carlo method,image reconstruction,in vivo,monte carlo methods,mesh generation,finite element analysis,tomography,synthetic data,finite element methods,monte carlo,bioluminescence,animal studies
Iterative reconstruction,Computer vision,Pattern recognition,Computer science,Imaging phantom,A priori and a posteriori,Tomography,Finite element method,Synthetic data,Artificial intelligence,Optical tomography,Mesh generation
Conference
Volume
Issue
ISSN
null
null
null
ISBN
Citations 
PageRank 
1-4244-0672-2
0
0.34
References 
Authors
2
6
Name
Order
Citations
PageRank
Yujie Lu100.34
Jie Tian21475159.24
Wei Yang300.34
Chenghu Qin4217.30
Wenxiang Cong57114.65
Ge Wang61000142.51