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Weng, AM; Ritter, CO; Lotz, J; Beer, MJ; Hahn, D; Kostler, H.
Automatic postprocessing for the assessment of quantitative human myocardial perfusion using MRI
Eur Radiol. 2010; 20(6):1356-1365
Doi: 10.1007/s00330-009-1684-z
Web of Science
PubMed
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- Co-authors Med Uni Graz
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Beer Meinrad
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- Abstract:
- 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. 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. 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. 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.
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Adenosine - diagnostic use
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Algorithms -
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Coronary Artery Disease - diagnosis
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Female -
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Humans -
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Image Enhancement - methods
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Image Interpretation, Computer-Assisted - methods
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Magnetic Resonance Angiography - methods
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Male -
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Myocardial Perfusion Imaging - methods
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Pattern Recognition, Automated - methods
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Reproducibility of Results -
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Sensitivity and Specificity -
- Find related publications in this database (Keywords)
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Magnetic resonance imaging
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Myocardial perfusion quantification
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Automatic postprocessing
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Image registration
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Image segmentation