Linked Life Data

17994885

Source:http://linkedlifedata.com/resource/pubmed/id/17994885

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2007-11-12
pubmed:abstractText
We present a novel methodology for combining breast image data obtained at different times, in different geometries, and by different techniques. We combine data based on diffuse optical tomography (DOT) and magnetic resonance imaging (MRI). The software platform integrates advanced multimodal registration and segmentation algorithms, requires minimal user experience, and employs computationally efficient techniques. The resulting superposed 3-D tomographs facilitate tissue analyses based on structural and functional data derived from both modalities, and readily permit enhancement of DOT data reconstruction using MRI-derived a-priori structural information. We demonstrate the multimodal registration method using a simulated phantom, and we present initial patient studies that confirm that tumorous regions in a patient breast found by both imaging modalities exhibit significantly higher total hemoglobin concentration (THC) than surrounding normal tissues. The average THC in the tumorous regions is one to three standard deviations larger than the overall breast average THC for all patients.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1083-3668
pubmed:author
pubmed:issnType
Print
pubmed:volume
12
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
051902
pubmed:meshHeading
pubmed:articleTitle
Standardized platform for coregistration of nonconcurrent diffuse optical and magnetic resonance breast images obtained in different geometries.
pubmed:affiliation
Siemens Corporate Research, Department of Imaging and Visualization, 755 College Road East Princeton, New Jersy 08540, USA. fred.azar@siemens.com
pubmed:publicationType
Journal Article, Evaluation Studies, Research Support, N.I.H., Extramural