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A dynamic statistical cardiac atlas with adjustable shape and motion features

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Indexed by:Journal Papers

Date of Publication:2022-05-01

Journal:Digital Medicine

Place of Publication:国际

Volume:8

Issue:1

ISSN No.:2542-629X

Key Words:Cardiac motion modelling,Digital human,Heart atlas,Statistical shape model

Abstract:Background and Objectives: Digital heart atlases play important roles in computational cardiac simulation and medical image analysis. During the past decades, various heart anatomy models were developed, but they mostly focused on the ventricular part. Recently, a number of whole-heart atlases were developed but they rarely modelled the motion features. This study constructed a whole-heart atlas incorporating dynamic cardiac motion. Materials and Methods: The shape and motion features of the atlas were learnt from a training set of 57 dynamic computed tomographic angiography images including 20 cardiac phases.

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