Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
17
pubmed:dateCreated
2009-8-18
pubmed:abstractText
As a novel modality of molecular imaging, bioluminescence tomography (BLT) is used to in vivo observe and measure the biological process at cellular and molecular level in small animals. The core issue of BLT is to determine the distribution of internal bioluminescent sources from optical measurements on external surface. In this paper, a new algorithm is presented for BLT source reconstruction based on adaptive hp-finite element method. Using adaptive mesh refinement strategy and intelligent permissible source region, we can obtain more accurate information about the location and density of sources, with the robustness, stability and efficiency improved. Numerical simulations and physical experiment were both conducted to verify the performance of the proposed algorithm, where the optical data on phantom surface were obtained via Monte Carlo simulation and CCD camera detection, respectively. The results represent the merits and potential of our algorithm for BLT source reconstruction.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1094-4087
pubmed:author
pubmed:issnType
Electronic
pubmed:day
17
pubmed:volume
17
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
14481-94
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
A source reconstruction algorithm based on adaptive hp-FEM for bioluminescence tomography.
pubmed:affiliation
Life Science Research Center, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't