Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images.

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第一作者： Marcel,Beetz

第一单位： Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX3 7DQ, UK. Electronic address: marcel.beetz@eng.ox.ac.uk.

作者： Marcel,Beetz ^[1] ; Abhirup,Banerjee ^[2] ; Julius,Ossenberg-Engels ^[3] ; Vicente,Grau ^[3]

作者单位： Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX3 7DQ, UK. Electronic address: marcel.beetz@eng.ox.ac.uk. ^[1] Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX3 7DQ, UK; Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 9DU, UK. Electronic address: abhirup.banerjee@eng.ox.ac.uk. ^[2] Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX3 7DQ, UK. ^[3]

关键词 Cardiac 3D surface reconstruction Cine MRI Contours to mesh reconstruction Cross-domain transfer Geometric deep learning Misalignment correction Multi-class point cloud completion network

主题词人类(Humans);心脏(Heart);磁共振成像(Magnetic Resonance Imaging);磁共振成像, 电影(Magnetic Resonance Imaging, Cine);胸部(Thorax);成像, 三维(Imaging, Three-Dimensional)

DOI 10.1016/j.media.2023.102975

PMID 37804586

发布时间 2024-02-14

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