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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003609naa a2200385 4500
001oai:DiVA.org:liu-130315
003SwePub
008160728s2016 | |||||||||||000 ||eng|
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1303152 URI
0247 a https://doi.org/10.1117/12.22141062 DOI
040 a (SwePub)liu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a kon2 swepub-publicationtype
1001 a Pedrosa, Joaou Katholieke University of Leuven, Belgium4 aut
2451 0a Automatic Short Axis Orientation of the Left Ventricle in 3D Ultrasound Recordings
264 1b SPIE-INT SOC OPTICAL ENGINEERING,c 2016
338 a print2 rdacarrier
520 a 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.
650 7a NATURVETENSKAPx Data- och informationsvetenskapx Datorseende och robotik0 (SwePub)102072 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciencesx Computer Vision and Robotics0 (SwePub)102072 hsv//eng
653 a Left ventricle; short axis; orientation; 3D echocardiography
7001 a Heyde, Brechtu Katholieke University of Leuven, Belgium4 aut
7001 a Heeren, Laurensu Katholieke University of Leuven, Belgium4 aut
7001 a Engvall, Janu Linköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Fysiologiska kliniken US4 aut0 (Swepub:liu)janen74
7001 a Zamorano, Joseu Ramon and Cajal University Hospital, Spain4 aut
7001 a Papachristidis, Alexandrosu Kings Coll Hospital London, England4 aut
7001 a Edvardsen, Thoru Oslo University Hospital, Norway; Oslo University Hospital, Norway4 aut
7001 a Claus, Pietu Katholieke University of Leuven, Belgium4 aut
7001 a Dhooge, Janu Katholieke University of Leuven, Belgium4 aut
7102 a Katholieke University of Leuven, Belgiumb Avdelningen för kardiovaskulär medicin4 org
7730 t MEDICAL IMAGING 2016: ULTRASONIC IMAGING AND TOMOGRAPHYd : SPIE-INT SOC OPTICAL ENGINEERINGz 9781510600256
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-130315
8564 8u https://doi.org/10.1117/12.2214106

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