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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
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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
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 (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
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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

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