Segmentation of lumen and outer wall of abdominal aortic aneurysms from 3D black‐blood MRI with a registration based geodesic active contour model

HighlightsMR image segmentation is performed on abdominal aortic aneurysm lumen and outer wall.Novel segmentation is proposed using image registration and shape terms in the model.The repeatability and reproducibility of the proposed method are validated. &NA; Segmentation of the geometric morphology of abdominal aortic aneurysm is important for interventional planning. However, the segmentation of both the lumen and the outer wall of aneurysm in magnetic resonance (MR) image remains challenging. This study proposes a registration based segmentation methodology for efficiently segmenting MR images of abdominal aortic aneurysms. The proposed methodology first registers the contrast enhanced MR angiography (CE‐MRA) and black‐blood MR images, and then uses the Hough transform and geometric active contours to extract the vessel lumen by delineating the inner vessel wall directly from the CE‐MRA. The proposed registration based geometric active contour is applied to black‐blood MR images to generate the outer wall contour. The inner and outer vessel wall are then fused presenting the complete vessel lumen and wall segmentation. The results obtained from 19 cases showed that the proposed registration based geometric active contour model was efficient and comparable to manual segmentation and provided a high segmentation accuracy with an average Dice value reaching 89.79%.