Abstract #3751

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

Diana M. Marin-Castrillon¹, Arnaud Boucher¹, Siyu Lin¹, Chloe Bernard², Marie-Catherine Morgant^1,2, Alexandre Cochet^1,3, 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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