Linked Life Data

20389671

Source:http://linkedlifedata.com/resource/pubmed/id/20389671

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2010-4-14
pubmed:abstractText
Bioluminescence tomography (BLT) is an effective molecular imaging (MI) modality. Because of the ill-posedness, the inverse problem of BLT is still open. We present a trust region method (TRM) for BLT source reconstruction. The TRM is applied in the source reconstruction procedure of BLT for the first time. The results of both numerical simulations and the experiments of cube phantom and nude mouse draw us to the conclusion that based on the adaptive finite element (AFE) framework, the TRM works in the source reconstruction procedure of BLT. To make our conclusion more reliable, we also compare the performance of the TRM and that of the famous Tikhonov regularization method after only one step of mesh refinement of the AFE framework. The conclusion is that the TRM can get faster and better results after only one mesh refinement step of AFE framework than the Tikhonov regularization method when handling large scale data. In the TRM, all the parameters are fixed, while in the Tikhonov method the regularization parameter needs to be well selected.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1094-4087
pubmed:author
pubmed:issnType
Electronic
pubmed:day
29
pubmed:volume
18
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
6477-91
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
A trust region method in adaptive finite element framework for bioluminescence tomography.
pubmed:affiliation
Sino-Dutch Biomedical and Information Engineering School of Northeastern University, Shenyang, 110004, China.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't