Abstract #4319

Exploring abnormal arch shape patterns using CMR-based hierarchical 3D shape clustering: Application to a generic imaging population of repaired coarctation of the aorta

Jan L Bruse¹, Abbas Khushnood¹, Tain-Yen Hsia¹, Andrew M Taylor¹, Vivek Muthurangu¹, and Silvia Schievano¹

¹Centre for Cardiovascular Imaging, UCL Institute of Cardiovascular Science & Great Ormond Street Hospital for Children, London, United Kingdom

We present a novel method for hierarchical 3D shape clustering of aortic arch shape models segmented and reconstructed from CMR imaging data. We apply the method to a cohort of 45 patients post aortic coarctation repair in order to explore previously unknown arch shape patterns that may relate to clinical outcome. Exploring a pathologic shape population using data mining and statistical shape modeling techniques can provide novel insight for improved diagnosis and treatment strategies and can thereby assisst in clinical decision making when analysing complex cases.

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