M-SiSSR: Regional Endocardial Function Using Multilabel Simultaneous Subdivision Surface Registration.

FIMH(2021)

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摘要
Quantification of regional cardiac function is a central goal of cardiology. Multiple methods, such as Coherent Point Drift (CPD) and Simultaneous Subdivision Surface Registration (SiSSR), have been used to register meshes to the endocardial surface. However, these methods do not distinguish between cardiac chambers during registration, and consequently the mesh may "slip" across the interface between two structures during contraction, resulting in inaccurate regional functional measurements. Here, we present Multilabel-SiSSR (M-SiSSR), a novel method for registering a "labeled" cardiac mesh (with each triangle assigned to a cardiac structure). We compare our results to the original, label-agnostic version of SiSSR and find both a visual and quantitative improvement in tracking of the mitral valve plane.
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关键词
Cardiac Computed Tomography (CCT),Convolutional Neural Networks (CNNs),Mesh registration,Regional cardiac function,Subdivision surfaces
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