A graph theoretic approach for computing 3D+time biventricular cardiac strain from tagged MRI data
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- 作者：Ming Li ; a ; b ; mzl0028@auburn.edu" class="auth_mail" title="E-mail the corresponding author ; Himanshu Guptac ; hgupta@uab.edu" class="auth_mail" title="E-mail the corresponding author ; Steven G. Lloydc ; sglloyd@uab.edu" class="auth_mail" title="E-mail the corresponding author ; Louis J. Dell&rsquo ; Italiac ; loudell@uab.edu" class="auth_mail" title="E-mail the corresponding author ; Thomas S. Denney Jr.a ; b ; dennets@auburn.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Tagged magnetic resonance imaging (tMRI) ; Gabor filter bank ; Graph cuts ; Strain
- 刊名：Medical Image Analysis
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：35
- 期：Complete
- 页码：46-57
- 全文大小：2521 K
文摘
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A new method for computing 3D+time biventricular cardiac strain from tagged MR data.
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Gabor filter banks extract tag features from left and right ventricular walls.
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A graph cut algorithm optimally assigns tag features to tag lines.
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Fully automated processing after segmentation step takes 44min for a typical study.
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Validation on 30 human studies including normals and a range of pathologies.
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