Dynamic Model-Driven Quantitative and Visual Evaluation of the Aortic Valve from 4D CT
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Robotic System for Transapical Aortic Valve Replacement with MRI Guidance
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
Robust and fast contrast inflow detection for 2D X-ray fluoroscopy
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Model-updated image-guided minimally invasive off-pump transcatheter aortic valve implantation
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part I
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
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Transcatheter aortic valve implantation is an emerging technique to be applied in patients with aortic valve defects. Angiographic and fluoroscopic X-ray imaging with a C-arm system is crucial in these minimally invasive procedures. We describe a prototypical system based on the ability to acquire a 3D C-arm CT image during transcatheter aortic valve implantations. It supports the physician in measuring critical anatomical parameters, finding an optimum C-arm angulation, and guiding the positioning and deployment of the prosthesis by 3D overlay with fluoroscopic images. To yield high acceptance by the physicians in the operating room, our approach is fast, fully integrated into an angiographic C-arm system, and designed to minimize the necessary user interaction. We evaluate the accuracy of our system on 20 clinical cases.