pubmed-article:2698429 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:2698429 | lifeskim:mentions | umls-concept:C0025663 | lld:lifeskim |
pubmed-article:2698429 | lifeskim:mentions | umls-concept:C0017638 | lld:lifeskim |
pubmed-article:2698429 | lifeskim:mentions | umls-concept:C1282907 | lld:lifeskim |
pubmed-article:2698429 | lifeskim:mentions | umls-concept:C0024485 | lld:lifeskim |
pubmed-article:2698429 | lifeskim:mentions | umls-concept:C0205251 | lld:lifeskim |
pubmed-article:2698429 | lifeskim:mentions | umls-concept:C0728475 | lld:lifeskim |
pubmed-article:2698429 | lifeskim:mentions | umls-concept:C1880022 | lld:lifeskim |
pubmed-article:2698429 | lifeskim:mentions | umls-concept:C1521738 | lld:lifeskim |
pubmed-article:2698429 | pubmed:issue | 6 | lld:pubmed |
pubmed-article:2698429 | pubmed:dateCreated | 1990-5-10 | lld:pubmed |
pubmed-article:2698429 | 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. | lld:pubmed |
pubmed-article:2698429 | pubmed:language | eng | lld:pubmed |
pubmed-article:2698429 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:2698429 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:2698429 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:2698429 | pubmed:issn | 0730-725X | lld:pubmed |
pubmed-article:2698429 | pubmed:author | pubmed-author:WetterbergLL | lld:pubmed |
pubmed-article:2698429 | pubmed:author | pubmed-author:SääfJJ | lld:pubmed |
pubmed-article:2698429 | pubmed:author | pubmed-author:MarionsOO | lld:pubmed |
pubmed-article:2698429 | pubmed:author | pubmed-author:WahlundL OLO | lld:pubmed |
pubmed-article:2698429 | pubmed:author | pubmed-author:KindstrandEE | lld:pubmed |
pubmed-article:2698429 | pubmed:author | pubmed-author:BoethiusJJ | lld:pubmed |
pubmed-article:2698429 | pubmed:issnType | Print | lld:pubmed |
pubmed-article:2698429 | pubmed:volume | 7 | lld:pubmed |
pubmed-article:2698429 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:2698429 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:2698429 | pubmed:pagination | 599-603 | lld:pubmed |
pubmed-article:2698429 | pubmed:dateRevised | 2006-11-15 | lld:pubmed |
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pubmed-article:2698429 | pubmed:articleTitle | A new method for characterization of low grade gliomas using ultra low field magnetic resonance imaging. | lld:pubmed |
pubmed-article:2698429 | pubmed:affiliation | Karolinska Institute, Department of Psychiatry, St Göran's Hospital, Stockholm, Sweden. | lld:pubmed |
pubmed-article:2698429 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:2698429 | pubmed:publicationType | Comparative Study | lld:pubmed |
pubmed-article:2698429 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |