Automatic estimation of aortic and mitral valve displacements in dynamic CTA with 4D graph-cuts.

Automatic estimation of aortic and mitral valve displacements in dynamic CTA with 4D graph-cuts.
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DOI:
10.1016/j.media.2020.101748
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发表时间:
2020-10
影响因子:
10.9
通讯作者:
Ledesma-Carbayo MJ
Ledesma-Carbayo MJ
中科院分区:
工程技术1区
文献类型:
--
作者:
Ortuño JE;Vegas-Sánchez-Ferrero G;Gómez-Valverde JJ;Chen MY;Santos A;McVeigh ER;Ledesma-Carbayo MJ

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The location of the mitral and aortic valves in dynamic cardiac imaging is useful for extracting functional derived parameters such as ejection fraction, valve excursions, and global longitudinal strain, and when performing anatomical structures tracking using slice following or valve intervention’s planning. Completely automatic segmentation methods are still challenging tasks because of their fast movements and the different positions that prevent good visibility of the leaflets along the full cardiac cycle. In this article, we propose a processing pipeline to track the displacement of the aortic and mitral valve annuli from high-resolution cardiac four-dimensional computed tomographic angiography (4D-CTA). The proposed method is based on the dynamic separation of left ventricle, left atrium and aorta using statistical shape modeling and an energy minimization algorithm based on graph-cuts and has been evaluated on a set of 15 electrocardiography-gated 4D-CTAs. We report a mean agreement distance between manual annotations and our proposed method of 2.52±1.06 mm for the mitral annulus and 2.00±0.69 mm for the aortic valve annulus based on valve locations detected from manual anatomical landmarks. In addition, we show the effect of detecting the valvular planes on derived functional parameters (ejection fraction, global longitudinal strain, and excursions of the mitral and aortic valves).
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