Linked Life Data

16032679

Source:http://linkedlifedata.com/resource/pubmed/id/16032679

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2005-7-25
pubmed:abstractText
Oxygen-enhanced MR imaging has been demonstrated in a number of recent studies as a potential method to visualize regional ventilation in the lung. A quantitative pixel-by-pixel analysis is hampered by motion and volume change due to breathing. In this study, image registration via active shape modeling is shown to produce significant improvements in the regional analysis of both static and dynamic oxygen-enhanced pulmonary MRI for five normal volunteers. The method enables the calculation of regional change in relaxation rate between breathing air and 100% oxygen, which is proportional to the change in regional oxygen concentration, and regional oxygen wash-in and wash-out time constants. Registration-corrected mapping of these parameters is likely to provide improved information in the regional assessment of a range of lung diseases.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0740-3194
pubmed:author
pubmed:copyrightInfo
2005 Wiley-Liss, Inc
pubmed:issnType
Print
pubmed:volume
54
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
464-9
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Improved quantitative dynamic regional oxygen-enhanced pulmonary imaging using image registration.
pubmed:affiliation
Imaging Science and Biomedical Engineering, University of Manchester, Manchester, United Kingdom. Josephine.naish@manchester.ac.uk
pubmed:publicationType
Journal Article