UNASSIGNED: Here we address the automatic segmentation of endovascular devices used in the endovascular repair (EVAR) of @entity1028 ( @entity1028 ) that deform vascular tissues. Using this approach, the vascular structure is automatically reshaped solving the issue of misregistration observed on 2D/3D image fusion for EVAR guidance. The endovascular devices we considered are the graduated pigtail catheter (PC) used for contrast injection and the stent-graft @entity1652 ( @entity1652 ). The segmentation of the @entity1652 was enhanced using an asymmetric Frangi filter. The segmented geometries were then analysed using their specific features to remove artefacts. The radiopaque markers of the PC were enhanced using a fusion of Hessian and newly introduced gradient norm shift filters. Extensive experiments were performed using a database of images taken during 28 @entity1028 -EVAR interventions. This dataset was divided into two parts: the first half was used to optimize parameters and the second to compile performances using optimal values obtained. The radiopaque markers of the PC were detected with a sensitivity of 88.3% and a positive predictive value ( @entity2286 ) of 96%. The PC can therefore be positioned with a majority of its markers localized while the artefacts were all located inside the vessel lumen. The major parts of the @entity1652 , the dilatator tip and the pusher surfaces, were detected accurately with a sensitivity of 85.9% and a @entity2286 of 88.7%. The less visible part of the @entity1652 , the stent enclosed within the sheath, was segmented with a sensitivity of 63.4% because the radiopacity of this region is low and uneven. The centreline of the @entity1652 in this stent region was alternatively traced within a 0.74  mm mean error. The automatic segmentation of endovascular devices during EVAR is feasible and accurate; it could be useful to perform elastic registration of the vascular lumen during endovascular repair.

Automatic detection of selective arterial devices for advanced visualization during XXXX repair.

@entity1652 :: ('MESH:D009471', 'Disease') :: ['delivery device', 'DD'] @entity1028 :: ('MESH:D017544', 'Disease') :: ['abdominal aortic aneurysms', 'AAA'] @entity2286 :: ('12211', 'Species') :: ['PPV']
@entity1028 :: (MESH:D017544,Disease) :: ['abdominal aortic aneurysm endovascular']
