Automatic postprocessing for the assessment of quantitative human myocardial perfusion using MRI.
Objective: Quantitative determination of myocardial perfusion currently involves time-consuming postprocessing. This retrospective study presents automatic postprocessing consisting of image registration and image segmentation to obtain regional signal intensity time courses and quantitative perfusi...
| Publicado en: | European Radiology Vol. 20; no. 6; pp. 1356 - 1366 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jun2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105187992&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105187992 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Jun2010 vid: 20 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105187992 50132276 NLM20016903 2010640771 10.1007/s00330-009-1684-z NLM20016903 105187992 ppf: 1356 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Automatic postprocessing for the assessment of quantitative human myocardial perfusion using MRI. aug: au: Weng AM Ritter CO Lotz J Beer MJ Hahn D Köstler H Weng, Andreas Max Ritter, Christian Oliver Lotz, Joachim Beer, Meinrad Joachim Hahn, Dietbert Köstler, Herbert affil: Institute of Radiology, University of Würzburg, Oberdürrbacher Strasse 6, 97080 Würzburg, Germany sug: subj: Algorithms Coronary Arteriosclerosis Diagnosis Image Interpretation, Computer Assisted Methods Magnetic Resonance Angiography Methods Heart Function Tests Methods Information Science Methods Adenosine Diagnostic Use Female Human Image Enhancement Methods Male Reproducibility of Results Sensitivity and Specificity Female Male ab: Objective: Quantitative determination of myocardial perfusion currently involves time-consuming postprocessing. This retrospective study presents automatic postprocessing consisting of image registration and image segmentation to obtain regional signal intensity time courses and quantitative perfusion values.Methods: The automatic postprocessing was tested in 75 examinations in volunteers and patients, 57 at rest and 18 under adenosine-induced stress, and compared with a manual evaluation. In a substudy consisting of 10 examinations, the interobserver variability of the manual evaluation was investigated.Results: Manual evaluation resulted in perfusion values with a median of 0.70 ml/g/min ranging from 0.03 to 3.68 ml/g/min. For all 75 examinations, the variability (standard deviation of the differences) between automatic and manual evaluation was 0.34 ml/g/min. Interobserver variability was of a similar order, 0.35 ml/g/min for all measurements.Conclusions: Automatic evaluation was successfully applied to all datasets giving results equivalent to manual evaluation. The time of user interaction for one single slice could be reduced from 25 min for manual evaluation to less than 1 min using the automatic algorithm. This reduction may allow quantitative magnetic resonance perfusion imaging to become a routine clinical procedure. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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