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Automatic Short Axis Orientation of the Left Ventricle in 3D Ultrasound Recordings
Katholieke University of Leuven, Belgium.
Katholieke University of Leuven, Belgium.
Katholieke University of Leuven, Belgium.
Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Clinical Physiology in Linköping. Linköping University, Center for Medical Image Science and Visualization (CMIV).
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2016 (English)In: MEDICAL IMAGING 2016: ULTRASONIC IMAGING AND TOMOGRAPHY, SPIE-INT SOC OPTICAL ENGINEERING , 2016, Vol. 9790, no 97900EConference paper (Refereed)Text
Abstract [en]

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 degrees +/- 18, 50 degrees was found, whereas the mean signed error was 1, 09 degrees. Large deviations between the manual and automatic annotations (amp;gt; 30 degrees) 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.

Place, publisher, year, edition, pages
SPIE-INT SOC OPTICAL ENGINEERING , 2016. Vol. 9790, no 97900E
Series
, Proceedings of SPIE, ISSN 0277-786X ; 9790
Keyword [en]
Left ventricle; short axis; orientation; 3D echocardiography
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-130315DOI: 10.1117/12.2214106ISI: 000378539900013ISBN: 978-1-5106-0025-6OAI: oai:DiVA.org:liu-130315DiVA: diva2:950484
Conference
Conference on Medical Imaging - Ultrasonic Imaging and Tomography
Available from: 2016-07-31 Created: 2016-07-28 Last updated: 2016-07-31

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Engvall, Jan
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Division of Cardiovascular MedicineFaculty of Medicine and Health SciencesDepartment of Clinical Physiology in LinköpingCenter for Medical Image Science and Visualization (CMIV)
Computer Vision and Robotics (Autonomous Systems)

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ReferencesLink to record
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