Linked Life Data

2698429

Source:http://linkedlifedata.com/resource/pubmed/id/2698429

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
1990-5-10
pubmed:abstractText
Low grade gliomas were studied with ultra low field magnetic resonance imaging (ULF MRI). The tumors exhibited high tissue contrast in both T1 and T2-weighted images as compared to normal brain tissue. Moreover they were sharply delineated towards the surrounding brain tissue. When compared with X-ray computed tomography the tumors were more readily detected and delineated by using ultra-low field magnetic imaging. A computer-assisted classification procedure was used to define new regions of interest for relaxation time estimations. By using this procedure more accurate estimations of the T1 and T2 values were obtained.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0730-725X
pubmed:author
pubmed:issnType
Print
pubmed:volume
7
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
599-603
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:articleTitle
A new method for characterization of low grade gliomas using ultra low field magnetic resonance imaging.
pubmed:affiliation
Karolinska Institute, Department of Psychiatry, St Göran's Hospital, Stockholm, Sweden.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't