Paper
13 March 2009 Localization and tracking of aortic valve prosthesis in 2D fluoroscopic image sequences
M. Karar, C. Chalopin, D. R. Merk, S. Jacobs, T. Walther, O. Burgert, V. Falk
Author Affiliations +
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Karar, C. Chalopin, D. R. Merk, S. Jacobs, T. Walther, O. Burgert, and V. Falk "Localization and tracking of aortic valve prosthesis in 2D fluoroscopic image sequences", Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 72611Q (13 March 2009); https://doi.org/10.1117/12.811509
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CITATIONS
Cited by 10 scholarly publications.
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KEYWORDS
Detection and tracking algorithms

Image enhancement

Surgery

Image filtering

Arteries

Algorithm development

Filtering (signal processing)

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