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Proceedings Paper

A robust model-based approach to detect the mitral annulus in 3D ultrasound
Author(s): Bastian Graser; Diana Wald; Mathias Seitel; Manuel Grossgasteiger; Raffaele de Simone; Hans-Peter Meinzer; Ivo Wolf
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Paper Abstract

Over 40.000 mitral reconstructions are performed each year in the United States. To ensure a successful and durable outcome of the operation, detailed quantification of the mitral annulus is helpful. However, manual measurement is time consuming and hard to perform in clinical routine. We propose a fast semi-automatic method to create a precise model of the mitral annulus from 3D ultrasound data. The basic idea is to combine image information with anatomical knowledge in form of a standard mitral annulus model. This way, the method can adjust to the individual image data and still cope with strong artifacts and incomplete images. By comparing the resulting models to manually created ground truth data of 39 patients, we identified a mean error of 3.49 mm. This is lower than the determined standard deviation of the expert (4.13 mm) and confirms the accuracy of the proposed method. The overall time to create a mitral annulus model from 3D ultrasound image data is less than a minute. Due to its speed, accuracy and robustness, the method is eligible for the clinical routine.

Paper Details

Date Published: 13 March 2013
PDF: 6 pages
Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 866944 (13 March 2013); doi: 10.1117/12.2001217
Show Author Affiliations
Bastian Graser, German Cancer Research Ctr. (Germany)
Diana Wald, German Cancer Research Ctr. (Germany)
Mathias Seitel, Mint Medical GmbH (Germany)
Manuel Grossgasteiger, Univ. of Heidelberg (Germany)
Raffaele de Simone, Univ. of Heidelberg (Germany)
Hans-Peter Meinzer, German Cancer Research Ctr. (Germany)
Ivo Wolf, German Cancer Research Ctr. (Germany)
Mannheim Univ. of Applied Science (Germany)


Published in SPIE Proceedings Vol. 8669:
Medical Imaging 2013: Image Processing
Sebastien Ourselin; David R. Haynor, Editor(s)

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