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Proceedings Paper

Endoscopic feature tracking for augmented-reality assisted prosthesis selection in mitral valve repair
Author(s): Sandy Engelhardt; Silvio Kolb; Raffaele De Simone; Matthias Karck; Hans-Peter Meinzer; Ivo Wolf
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Paper Abstract

Mitral valve annuloplasty describes a surgical procedure where an artificial prosthesis is sutured onto the anatomical structure of the mitral annulus to re-establish the valve's functionality. Choosing an appropriate commercially available ring size and shape is a difficult decision the surgeon has to make intraoperatively according to his experience. In our augmented-reality framework, digitalized ring models are superimposed onto endoscopic image streams without using any additional hardware. To place the ring model on the proper position within the endoscopic image plane, a pose estimation is performed that depends on the localization of sutures placed by the surgeon around the leaflet origins and punctured through the stiffer structure of the annulus. In this work, the tissue penetration points are tracked by the real-time capable Lucas Kanade optical flow algorithm. The accuracy and robustness of this tracking algorithm is investigated with respect to the question whether outliers influence the subsequent pose estimation. Our results suggest that optical flow is very stable for a variety of different endoscopic scenes and tracking errors do not affect the position of the superimposed virtual objects in the scene, making this approach a viable candidate for annuloplasty augmented reality-enhanced decision support.

Paper Details

Date Published: 18 March 2016
PDF: 7 pages
Proc. SPIE 9786, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, 97861A (18 March 2016); doi: 10.1117/12.2216239
Show Author Affiliations
Sandy Engelhardt, German Cancer Research Ctr. (Germany)
Silvio Kolb, German Cancer Research Ctr. (Germany)
Raffaele De Simone, Univ. of Heidelberg (Germany)
Matthias Karck, Univ. of Heidelberg (Germany)
Hans-Peter Meinzer, German Cancer Research Ctr. (Germany)
Ivo Wolf, German Cancer Research Ctr. (Germany)
Institute of Medical Informatics, Mannheim Univ. of Applied Sciences (Germany)


Published in SPIE Proceedings Vol. 9786:
Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster; Ziv R. Yaniv, Editor(s)

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