Automated quantification of myocardial infarction from MR images by accounting for partial volume effects: animal, phantom, and human study.

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Abstract

Ethics committees approved human and animal study components; informed written consent was provided (prospective human study [20 men; mean age, 62 years]) or waived (retrospective human study [16 men, four women; mean age, 59 years]). The purpose of this study was to prospectively evaluate a clinically applicable method, accounting for the partial volume effect, to automatically quantify myocardial infarction from delayed contrast material-enhanced magnetic resonance images. Pixels were weighted according to signal intensity to calculate infarct fraction for each pixel. Mean bias +/- variability (or standard deviation), expressed as percentage left ventricular myocardium (%LVM), were -0.3 +/- 1.3 (animals), -1.2 +/- 1.7 (phantoms), and 0.3 +/- 2.7 (patients), respectively. Algorithm had lower variability than dichotomous approach (2.7 vs 7.7 %LVM, P < .01) and did not differ from interobserver variability for bias (P = .31) or variability (P = .38). The weighted approach provides automatic quantification of myocardial infarction with higher accuracy and lower variability than a dichotomous algorithm.

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Subject classification (UKÄ) – MANDATORY

  • Radiology, Nuclear Medicine and Medical Imaging

Keywords

  • Three-Dimensional/methods* Magnetic Resonance Imaging/instrumentation Magnetic Resonance Imaging/methods* Male Middle Aged Myocardial Infarction/complications Myocardial Infarction/diagnosis* Pattern Recognition, Algorithms Animals Artificial Intelligence* Female Humans Image Enhancement/methods Image Interpretation, Imaging Reproducibility of Results Sensitivity and Specificity Swine Ventricular Dysfunction, Automated/methods* Phantoms, Computer-Assisted/methods* Imaging, Left/diagnosis* Ventricular Dysfunction, Left/etiology
Original languageEnglish
Pages (from-to)581-588
JournalRadiology
Volume246
Issue number2
Publication statusPublished - 2008
Publication categoryResearch
Peer-reviewedYes