Feasibility of a longitudinal statistical atlas model to study aortic growth in congenital heart disease.

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作者： Froso,Sophocleous ^[1] ; Alexandre,Bône ^[2] ; Andrew I U,Shearn ^[1] ; Mari Nieves Velasco,Forte ^[3] ; Jan L,Bruse ^[4] ; Massimo,Caputo ^[5] ; Giovanni,Biglino ^[6]

作者单位： Bristol Medical School, Faculty of Life Sciences, University of Bristol, Bristol, UK. ^[1] ARAMIS Lab, ICM, Inserm U1127, CNRS UMR 7225, Sorbonne University, Inria, Paris, France. ^[2] Bristol Heart Institute, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK. ^[3] Vicomtech Foundation, Basque Research and Technology Alliance BRTA, Mikeletegi 57, 20009, Donostia-San Sebastián, Spain. ^[4] Bristol Medical School, Faculty of Life Sciences, University of Bristol, Bristol, UK; Bristol Heart Institute, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK. ^[5] Bristol Medical School, Faculty of Life Sciences, University of Bristol, Bristol, UK; Bristol Heart Institute, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK; National Heart and Lung Institute, Imperial College London, London, UK. Electronic address: g.biglino@bristol.ac.uk. ^[6]

关键词 3D modeling Bicuspid aortic valve Cardiovascular Computational growth model Congenital heart disease Longitudinal atlas Magnetic resonance imaging Statistical shape analysis

主题词主动脉瓣(Aortic Valve);疾病恶化(Disease Progression);可行性研究(Feasibility Studies);心脏缺损, 先天性(Heart Defects, Congenital);心脏瓣膜疾病(Heart Valve Diseases);人类(Humans)

DOI 10.1016/j.compbiomed.2022.105326

PMID 35245697

发布时间 2022-05-09

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