Model-updated image-guided minimally invasive off-pump transcatheter aortic valve implantation

Authors:
Mohamed Esmail Karar;Matthias John;David Holzhey;Volkmar Falk4;Friedrich-Wilhelm Mohr;Oliver Burgert
Affiliations:
Innovation Center Computer Assisted Surgery, University of Leipzig, Germany;Siemens AG, Healthcare Sector, Forchheim, Germany;Department of Cardiac Surgery, Heart Center, University of Leipzig, Germany;Division of Heart and Vascular Surgery, University Hospital Zurich, Switzerland;Innovation Center Computer Assisted Surgery, University of Leipzig and Department of Cardiac Surgery, Heart Center, University of Leipzig, Germany;Innovation Center Computer Assisted Surgery, University of Leipzig, Germany
Venue:
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Year:
2011

Citing 2
Cited 1

System to guide transcatheter aortic valve implantations based on interventional c-arm CT imaging

MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
Automatic aorta segmentation and valve landmark detection in C-Arm CT: application to aortic valve implantation

MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I

Catheter tracking via online learning for dynamic motion compensation in transcatheter aortic valve implantation

MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II

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Abstract

This paper presents a method for assisting the placement of stented aortic valve prosthesis during minimally invasive off-pump transcatheter aortic valve implantation (TAVI) under live 2-D X-ray fluoroscopy guidance. The proposed method includes a dynamic overlay of an intra-operative 3-D aortic root mesh model and an estimated target area of valve implantation onto live 2- D fluoroscopic images. This is based on a template-based tracking procedure of a pigtail catheter without further injections of contrast agent. Minimal userinteraction is required to initialize the algorithm and to correct fluoroscopy overlay errors if needed. Retrospective experiments were carried out on ten patient datasets from the clinical routine of the TAVI. The mean displacement errors of the updated aortic root mesh model overlays are less than 2.0 mm without manual overlay corrections. The results show that the guidance performance of live 2-D fluoroscopy is potentially improved when using our proposed method for the TAVIs.