Linked Life Data

21173828

Source:http://linkedlifedata.com/resource/pubmed/id/21173828

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
36
pubmed:dateCreated
2010-12-21
pubmed:abstractText
Fluorescence molecular tomography (FMT) is a promising technique for in vivo small animal imaging. In this paper, the sparsity of the fluorescent sources is considered as the a priori information and is promoted by incorporating L1 regularization. Then a reconstruction algorithm based on stagewise orthogonal matching pursuit is proposed, which treats the FMT problem as the basis pursuit problem. To evaluate this method, we compare it to the iterated-shrinkage-based algorithm with L1 regularization. Numerical simulations and physical experiments show that the proposed method can obtain comparable or even slightly better results. More importantly, the proposed method was at least 2 orders of magnitude faster in these experiments, which makes it a practical reconstruction algorithm.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1539-4522
pubmed:author
pubmed:issnType
Electronic
pubmed:day
20
pubmed:volume
49
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
6930-7
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Efficient reconstruction method for L1 regularization in fluorescence molecular tomography.
pubmed:affiliation
Medical Image Processing Group, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't