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Abstract #3751

Automatic 3D PC-MRI atlas-based segmentation of the aorta

Diana M. Marin-Castrillon1, Arnaud Boucher1, Siyu Lin1, Chloe Bernard2, Marie-Catherine Morgant1,2, Alexandre Cochet1,3, Alain Lalande 1,3, Benoit Presles 1, and Olivier Bouchot 1,2
1ImViA Laboratory, University of Burgundy, Dijon, France, 2Department of Cardio-Vascular and Thoracic Surgery, University Hospital of Dijon, Dijon, France, 3Department of Medical Imaging, University Hospital of Dijon, Dijon, France

Analysis of aorta hemodynamics is useful in the evaluation of aortic diseases. 4D PC-MRI provides information of flow velocity in the aorta and automatic segmentation is one of the biggest challenges. We propose a fully 3D automatic segmentation of the aorta in systole using a multi-atlas approach. Evaluation on 16 patients provided an average performance of 29.55±24.33 mm and 0.859 ±0.024 for Hausdorff distance and Dice score respectively. With the proposed method, the automatic segmentation of the thoracic aorta that can be obtained from 4D PC-MRI is close enough to the manual one to be used in future studies.

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