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Automated quantific...
Automated quantification of myocardial infarction from MR images by accounting for partial volume effects: animal, phantom, and human study.
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- Heiberg, Einar (author)
- Lund University,Lunds universitet,Klinisk fysiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Clinical Physiology (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine
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- Ugander, Martin (author)
- Lund University,Lunds universitet,Klinisk fysiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Clinical Physiology (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine
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- Engblom, Henrik (author)
- Lund University,Lunds universitet,Klinisk fysiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Clinical Physiology (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine
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- Götberg, Matthias (author)
- Lund University,Lunds universitet,Kardiologi,Sektion II,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Cardiology,Section II,Department of Clinical Sciences, Lund,Faculty of Medicine
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- Olivecrona, Göran (author)
- Lund University,Lunds universitet,Kardiologi,Sektion II,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Cardiology,Section II,Department of Clinical Sciences, Lund,Faculty of Medicine
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- Erlinge, David (author)
- Lund University,Lunds universitet,Kardiologi,Sektion II,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Cardiology,Section II,Department of Clinical Sciences, Lund,Faculty of Medicine
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- Arheden, Håkan (author)
- Lund University,Lunds universitet,Klinisk fysiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Clinical Physiology (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine
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(creator_code:org_t)
- Radiological Society of North America (RSNA), 2008
- 2008
- English.
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In: Radiology. - : Radiological Society of North America (RSNA). - 1527-1315 .- 0033-8419. ; 246:2, s. 581-588
- Related links:
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Abstract
Subject headings
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- 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.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
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
Publication and Content Type
- art (subject category)
- ref (subject category)
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