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Proceedings Paper

Automatic detection of cardiac cycle and measurement of the mitral annulus diameter in 4D TEE images
Author(s): Bastian Graser; Maximilian Hien; Helmut Rauch; Hans-Peter Meinzer; Tobias Heimann
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Paper Abstract

Mitral regurgitation is a wide spread problem. For successful surgical treatment quantification of the mitral annulus, especially its diameter, is essential. Time resolved 3D transesophageal echocardiography (TEE) is suitable for this task. Yet, manual measurement in four dimensions is extremely time consuming, which confirms the need for automatic quantification methods. The method we propose is capable of automatically detecting the cardiac cycle (systole or diastole) for each time step and measuring the mitral annulus diameter. This is done using total variation noise filtering, the graph cut segmentation algorithm and morphological operators. An evaluation took place using expert measurements on 4D TEE data of 13 patients. The cardiac cycle was detected correctly on 78% of all images and the mitral annulus diameter was measured with an average error of 3.08 mm. Its full automatic processing makes the method easy to use in the clinical workflow and it provides the surgeon with helpful information.

Paper Details

Date Published: 14 February 2012
PDF: 7 pages
Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83140F (14 February 2012); doi: 10.1117/12.911054
Show Author Affiliations
Bastian Graser, German Cancer Research Ctr. (Germany)
Maximilian Hien, Univ. of Heidelberg (Germany)
Helmut Rauch, Univ. of Heidelberg (Germany)
Hans-Peter Meinzer, German Cancer Research Ctr. (Germany)
Tobias Heimann, German Cancer Research Ctr. (Germany)


Published in SPIE Proceedings Vol. 8314:
Medical Imaging 2012: Image Processing
David R. Haynor; Sébastien Ourselin, Editor(s)

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