Paper
14 February 2012 Automatic detection of cardiac cycle and measurement of the mitral annulus diameter in 4D TEE images
Bastian Graser, Maximilian Hien, Helmut Rauch, Hans-Peter Meinzer, Tobias Heimann
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bastian Graser, Maximilian Hien, Helmut Rauch, Hans-Peter Meinzer, and Tobias Heimann "Automatic detection of cardiac cycle and measurement of the mitral annulus diameter in 4D TEE images", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83140F (14 February 2012); https://doi.org/10.1117/12.911054
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image segmentation

Surgery

Blood

Tissues

3D image processing

Image processing

Ultrasonography

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