A graph theoretic approach for computing 3D+time biventricular cardiac strain from tagged MRI data

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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 Gupta^c ; ^{hgupta@uab.edu" class="auth_mail" title="E-mail the corresponding author} ; Steven G. Lloyd^c ; ^{sglloyd@uab.edu" class="auth_mail" title="E-mail the corresponding author} ; Louis J. Dell&rsquo ; Italia^c ; ^{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

class="label">•: A new method for computing 3D+time biventricular cardiac strain from tagged MR data.
class="label">•: Gabor filter banks extract tag features from left and right ventricular walls.
class="label">•: A graph cut algorithm optimally assigns tag features to tag lines.
class="label">•: Fully automated processing after segmentation step takes 44min for a typical study.
class="label">•: Validation on 30 human studies including normals and a range of pathologies.

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