| pubmed-article:18581417 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:18581417 | lifeskim:mentions | umls-concept:C0012655 | lld:lifeskim |
| pubmed-article:18581417 | lifeskim:mentions | umls-concept:C0031001 | lld:lifeskim |
| pubmed-article:18581417 | lifeskim:mentions | umls-concept:C1826618 | lld:lifeskim |
| pubmed-article:18581417 | lifeskim:mentions | umls-concept:C0220825 | lld:lifeskim |
| pubmed-article:18581417 | lifeskim:mentions | umls-concept:C0024485 | lld:lifeskim |
| pubmed-article:18581417 | lifeskim:mentions | umls-concept:C1947976 | lld:lifeskim |
| pubmed-article:18581417 | lifeskim:mentions | umls-concept:C0002045 | lld:lifeskim |
| pubmed-article:18581417 | pubmed:issue | 1 | lld:pubmed |
| pubmed-article:18581417 | pubmed:dateCreated | 2008-7-10 | lld:pubmed |
| pubmed-article:18581417 | pubmed:abstractText | For longitudinal studies in patients suffering from cerebrovascular diseases the poor reproducibility of perfusion measurements via dynamic susceptibility-weighted contrast-enhanced MRI (DSC-MRI) is a relevant concern. We evaluate a novel algorithm capable of overcoming limitations in DSC-MRI caused by partial volume and saturation issues in the arterial input function (AIF) by a blood flow stimulation-study. In 21 subjects, perfusion parameters before and after administration of blood flow stimulating L-arginine were calculated utilizing a block-circulant singular value decomposition (cSVD). A total of two different raters and three different rater conditions were employed to select AIFs: Besides 1) an AIF selection by an experienced rater, a beginner rater applied a steady state-oriented strategy, returning; 2) raw; and 3) corrected AIFs. Highly significant changes in regional cerebral blood flow (rCBF) by 9.0% (P < 0.01) could only be found when the AIF correction was performed. To further test for improved reproducibility, in a subgroup of seven subjects the baseline measurement was repeated 6 weeks after the first examination. In this group as well, using the correction algorithm decreased the SD of the difference between the two baseline measurements by 42%. | lld:pubmed |
| pubmed-article:18581417 | pubmed:language | eng | lld:pubmed |
| pubmed-article:18581417 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18581417 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:18581417 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18581417 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:18581417 | pubmed:month | Jul | lld:pubmed |
| pubmed-article:18581417 | pubmed:issn | 0740-3194 | lld:pubmed |
| pubmed-article:18581417 | pubmed:author | pubmed-author:VillringerArn... | lld:pubmed |
| pubmed-article:18581417 | pubmed:author | pubmed-author:EndresMatthia... | lld:pubmed |
| pubmed-article:18581417 | pubmed:author | pubmed-author:SteinbrinkJen... | lld:pubmed |
| pubmed-article:18581417 | pubmed:author | pubmed-author:FiebachJochen... | lld:pubmed |
| pubmed-article:18581417 | pubmed:author | pubmed-author:MüllerBiancaB | lld:pubmed |
| pubmed-article:18581417 | pubmed:author | pubmed-author:BruneckerPete... | lld:pubmed |
| pubmed-article:18581417 | pubmed:author | pubmed-author:KerskensChris... | lld:pubmed |
| pubmed-article:18581417 | pubmed:author | pubmed-author:SchultzeJörgJ | lld:pubmed |
| pubmed-article:18581417 | pubmed:author | pubmed-author:WegenerSusann... | lld:pubmed |
| pubmed-article:18581417 | pubmed:author | pubmed-author:JungehülsingG... | lld:pubmed |
| pubmed-article:18581417 | pubmed:author | pubmed-author:NolteChristia... | lld:pubmed |
| pubmed-article:18581417 | pubmed:copyrightInfo | (c) 2008 Wiley-Liss, Inc. | lld:pubmed |
| pubmed-article:18581417 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:18581417 | pubmed:volume | 60 | lld:pubmed |
| pubmed-article:18581417 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:18581417 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:18581417 | pubmed:pagination | 102-10 | lld:pubmed |
| pubmed-article:18581417 | pubmed:meshHeading | pubmed-meshheading:18581417... | lld:pubmed |
| pubmed-article:18581417 | pubmed:meshHeading | pubmed-meshheading:18581417... | lld:pubmed |
| pubmed-article:18581417 | pubmed:meshHeading | pubmed-meshheading:18581417... | lld:pubmed |
| pubmed-article:18581417 | pubmed:meshHeading | pubmed-meshheading:18581417... | lld:pubmed |
| pubmed-article:18581417 | pubmed:meshHeading | pubmed-meshheading:18581417... | lld:pubmed |
| pubmed-article:18581417 | pubmed:meshHeading | pubmed-meshheading:18581417... | lld:pubmed |
| pubmed-article:18581417 | pubmed:meshHeading | pubmed-meshheading:18581417... | lld:pubmed |
| pubmed-article:18581417 | pubmed:meshHeading | pubmed-meshheading:18581417... | lld:pubmed |
| pubmed-article:18581417 | pubmed:year | 2008 | lld:pubmed |
| pubmed-article:18581417 | pubmed:articleTitle | Evaluation of an AIF correction algorithm for dynamic susceptibility contrast-enhanced perfusion MRI. | lld:pubmed |
| pubmed-article:18581417 | pubmed:affiliation | Berlin NeuroImaging Center (BNIC), Department of Neurology, Charité-University Medicine Berlin, Berlin, Germany. peter.brunecker@charite.de | lld:pubmed |
| pubmed-article:18581417 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:18581417 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
