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...

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Publicado en:European Radiology Vol. 20; no. 6; pp. 1356 - 1366
Autores principales: 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
Formato: research Journal Article
Publicado: Springer Nature Jun2010
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2010
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00330-009-1684-z
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        atl: Automatic postprocessing for the assessment of quantitative human myocardial perfusion using MRI.
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          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
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