Paper
1 April 2016 Automatic short axis orientation of the left ventricle in 3D ultrasound recordings
João Pedrosa, Brecht Heyde, Laurens Heeren, Jan Engvall, Jose Zamorano, Alexandros Papachristidis, Thor Edvardsen, Piet Claus, Jan D'hooge
Author Affiliations +
Abstract
The recent advent of three-dimensional echocardiography has led to an increased interest from the scientific community in left ventricle segmentation frameworks for cardiac volume and function assessment. An automatic orientation of the segmented left ventricular mesh is an important step to obtain a point-to-point correspondence between the mesh and the cardiac anatomy. Furthermore, this would allow for an automatic division of the left ventricle into the standard 17 segments and, thus, fully automatic per-segment analysis, e.g. regional strain assessment. In this work, a method for fully automatic short axis orientation of the segmented left ventricle is presented. The proposed framework aims at detecting the inferior right ventricular insertion point. 211 three-dimensional echocardiographic images were used to validate this framework by comparison to manual annotation of the inferior right ventricular insertion point. A mean unsigned error of 8, 05° ± 18, 50° was found, whereas the mean signed error was 1, 09°. Large deviations between the manual and automatic annotations (> 30°) only occurred in 3, 79% of cases. The average computation time was 666ms in a non-optimized MATLAB environment, which potentiates real-time application. In conclusion, a successful automatic real-time method for orientation of the segmented left ventricle is proposed.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
João Pedrosa, Brecht Heyde, Laurens Heeren, Jan Engvall, Jose Zamorano, Alexandros Papachristidis, Thor Edvardsen, Piet Claus, and Jan D'hooge "Automatic short axis orientation of the left ventricle in 3D ultrasound recordings", Proc. SPIE 9790, Medical Imaging 2016: Ultrasonic Imaging and Tomography, 97900E (1 April 2016); https://doi.org/10.1117/12.2214106
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image segmentation

Ultrasonography

Echocardiography

Image quality

3D image processing

Databases

Doppler effect

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