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

Heiberg, Einar LU ; Ugander, Martin LU ; Engblom, Henrik LU ; Götberg, Matthias LU ; Olivecrona, Göran LU ; Erlinge, David LU and Arheden, Håkan LU (2008) In Radiology 246(2). p.581-588
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
@article{8cf383a5-bc03-4aa3-b50d-5133214d6f32,
  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 &lt; .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.},
  author       = {Heiberg, Einar and Ugander, Martin and Engblom, Henrik and Götberg, Matthias and Olivecrona, Göran and Erlinge, David and Arheden, Håkan},
  issn         = {1527-1315},
  keyword      = {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},
  language     = {eng},
  number       = {2},
  pages        = {581--588},
  publisher    = {Radiological Society of North America},
  series       = {Radiology},
  title        = {Automated quantification of myocardial infarction from MR images by accounting for partial volume effects: animal, phantom, and human study.},
  url          = {http://dx.doi.org/10.1148/radiol.2461062164},
  volume       = {246},
  year         = {2008},
}