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Titel:

Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data

Dokumenttyp:
Proceedings Paper
Autor(en):
Qiao, Mengyun; Basaran, Berke Doga; Qiu, Huaqi; Wang, Shuo; Guo, Yi; Wang, Yuanyuan; Matthews, Paul M.; Rueckert, Daniel; Bai, Wenjia
Abstract:
Cardiovascular disease, the leading cause of death globally, is an age-related disease. Understanding the morphological and functional changes of the heart during ageing is a key scientific question, the answer to which will help us define important risk factors of cardiovascular disease and monitor disease progression. In this work, we propose a novel conditional generative model to describe the changes of 3D anatomy of the heart during ageing. The proposed model is flexible and allows integrat...     »
Zeitschriftentitel:
Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv
Jahr:
2022
Band / Volume:
13593
Seitenangaben Beitrag:
3-12
Volltext / DOI:
doi:10.1007/978-3-031-23443-9_1
Print-ISSN:
0302-9743
TUM Einrichtung:
Institut für KI und Informatik in der Medizin (Prof. Rückert)
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