Search: WFRF:(Pedrosa Joao) >
Automatic Short Axi...
Automatic Short Axis Orientation of the Left Ventricle in 3D Ultrasound Recordings
-
- Pedrosa, Joao (author)
- Katholieke University of Leuven, Belgium
-
- Heyde, Brecht (author)
- Katholieke University of Leuven, Belgium
-
- Heeren, Laurens (author)
- Katholieke University of Leuven, Belgium
-
show more...
-
- Engvall, Jan (author)
- Linköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Fysiologiska kliniken US
-
- Zamorano, Jose (author)
- Ramon and Cajal University Hospital, Spain
-
- Papachristidis, Alexandros (author)
- Kings Coll Hospital London, England
-
- Edvardsen, Thor (author)
- Oslo University Hospital, Norway; Oslo University Hospital, Norway
-
- Claus, Piet (author)
- Katholieke University of Leuven, Belgium
-
- Dhooge, Jan (author)
- Katholieke University of Leuven, Belgium
-
show less...
-
(creator_code:org_t)
- SPIE-INT SOC OPTICAL ENGINEERING, 2016
- 2016
- English.
-
In: MEDICAL IMAGING 2016: ULTRASONIC IMAGING AND TOMOGRAPHY. - : SPIE-INT SOC OPTICAL ENGINEERING. - 9781510600256
- Related links:
-
https://urn.kb.se/re...
-
show more...
-
https://doi.org/10.1...
-
show less...
Abstract
Subject headings
Close
- 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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Keyword
- Left ventricle; short axis; orientation; 3D echocardiography
Publication and Content Type
- ref (subject category)
- kon (subject category)
Find in a library
To the university's database