Linked Life Data

20570760

Source:http://linkedlifedata.com/resource/pubmed/id/20570760

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
10
pubmed:dateCreated
2010-9-20
pubmed:abstractText
Fluorescence molecular tomography has become a promising technique for in vivo small animal imaging and has many potential applications. Due to the ill-posed and the ill-conditioned nature of the problem, Tikhonov regularization is generally adopted to stabilize the solution. However, the result is usually over-smoothed. In this letter, the third-order simplified spherical harmonics approximation to radiative transfer equation is utilized to model the photon propagation within biological tissues. Considering the sparsity of the fluorescent sources, we replace Tikhonov method with an iteratively reweighted scheme. By dynamically updating the weight matrix, L1-norm regularization can be approximated, which can promote the sparsity of the solution. Simulation study shows that this method can preserve the sparsity of the fluorescent sources within heterogeneous medium, even with very limited measurement data.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
1558-2531
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
57
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2564-7
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Sparsity-promoting tomographic fluorescence imaging with simplified spherical harmonics approximation.
pubmed:affiliation
Medical Image Processing Group, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China. handong@fingerpass.net.cn
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't