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Proceedings Paper

Localization and tracking of aortic valve prosthesis in 2D fluoroscopic image sequences
Author(s): M. Karar; C. Chalopin; D. R. Merk; S. Jacobs; T. Walther; O. Burgert; V. Falk
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Paper Abstract

This paper presents a new method for localization and tracking of the aortic valve prosthesis (AVP) in 2D fluoroscopic image sequences to assist the surgeon to reach the safe zone of implantation during transapical aortic valve implantation. The proposed method includes four main steps: First, the fluoroscopic images are preprocessed using a morphological reconstruction and an adaptive Wiener filter to enhance the AVP edges. Second, a target window, defined by a user on the first image of the sequences which includes the AVP, is tracked in all images using a template matching algorithm. In a third step the corners of the AVP are extracted based on the AVP dimensions and orientation in the target window. Finally, the AVP model is generated in the fluoroscopic image sequences. Although the proposed method is not yet validated intraoperatively, it has been applied to different fluoroscopic image sequences with promising results.

Paper Details

Date Published: 13 March 2009
PDF: 8 pages
Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 72611Q (13 March 2009); doi: 10.1117/12.811509
Show Author Affiliations
M. Karar, Innovation Ctr. Computer Assisted Surgery (Germany)
C. Chalopin, Innovation Ctr. Computer Assisted Surgery (Germany)
D. R. Merk, Innovation Ctr. Computer Assisted Surgery (Germany)
Heart Ctr. Leipzig (Germany)
S. Jacobs, Heart Ctr. Leipzig (Germany)
T. Walther, Heart Ctr. Leipzig (Germany)
O. Burgert, Innovation Ctr. Computer Assisted Surgery (Germany)
V. Falk, Heart Ctr. Leipzig (Germany)


Published in SPIE Proceedings Vol. 7261:
Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kenneth H. Wong, Editor(s)

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