Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2010-8-11
pubmed:abstractText
In magnetic resonance (MR) imaging, T1, T2 and T2* relaxation times represent characteristic tissue properties that can be quantified with the help of specific imaging strategies. While there are basic software tools for specific pulse sequences, until now there is no universal software program available to automate pixel-wise mapping of relaxation times from various types of images or MR systems. Such a software program would allow researchers to test and compare new imaging strategies and thus would significantly facilitate research in the area of quantitative tissue characterization.
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/20673350-10332843, http://linkedlifedata.com/resource/pubmed/commentcorrection/20673350-11913479, http://linkedlifedata.com/resource/pubmed/commentcorrection/20673350-11997065, http://linkedlifedata.com/resource/pubmed/commentcorrection/20673350-12242554, http://linkedlifedata.com/resource/pubmed/commentcorrection/20673350-15236377, http://linkedlifedata.com/resource/pubmed/commentcorrection/20673350-1545039, http://linkedlifedata.com/resource/pubmed/commentcorrection/20673350-16329085, http://linkedlifedata.com/resource/pubmed/commentcorrection/20673350-16424239, http://linkedlifedata.com/resource/pubmed/commentcorrection/20673350-17114517, http://linkedlifedata.com/resource/pubmed/commentcorrection/20673350-19097220, http://linkedlifedata.com/resource/pubmed/commentcorrection/20673350-3784887, http://linkedlifedata.com/resource/pubmed/commentcorrection/20673350-6482839
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1471-2342
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
10
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
16
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
An open-source software tool for the generation of relaxation time maps in magnetic resonance imaging.
pubmed:affiliation
Cardiac MRI Unit, Franz-Volhard-Klinik, Charité University Medicine, Berlin, Germany. daniel.messroghli@charite.de
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't