NDLI: Automatic mitral annulus tracking in volumetric ultrasound using non-rigid image registration

Content Provider	IEEE Xplore Digital Library
Author	De Veene, H. Bertrand, P.B. Popovic, N. Vandervoort, P.M. Claus, P. De Beule, M. Heyde, B.
Copyright Year	2015
Description	Author affiliation: Dept. of Cardiology, Ziekenhuis Oost-Limburg, Genk, Belgium (Bertrand, P.B.; Vandervoort, P.M.) \|\| Lab. on Cardiovascular Imaging & Dynamics, Univ. of Leuven (KU Leuven), Leuven, Belgium (Popovic, N.; Claus, P.; Heyde, B.) \|\| IBiTech-bioMMeda, Univ. of Ghent (UGent), Ghent, Belgium (De Veene, H.; De Beule, M.)
Abstract	Analysis of mitral annular dynamics plays an important role in the diagnosis and selection of optimal valve repair strategies, but remains cumbersome and time-consuming if performed manually. In this paper we propose non-rigid image registration to automatically track the annulus in 3D ultrasound images for both normal and pathological valves, and compare the performance against manual tracing. Relevant clinical properties such as annular area, circumference and excursion could be extracted reliably by the tracking algorithm. The root-mean-square error, calculated as the difference between the manually traced landmarks (18 in total) and the automatic tracking, was 1.96 ± 0.46 mm over 10 valves (5 healthy and 5 diseased) which is within the clinically acceptable error range.
Starting Page	1985
Ending Page	1988
File Size	812923
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7318774
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Valves Tracking Manuals Ultrasonic imaging Image registration Three-dimensional displays Splines (mathematics) 3D ultrasound non-ridid image registration mitral annulus tracking
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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