NDLI: Semi-automatic detection and tracking of mitral and aortic annuli from real-time 3D transesophageal echocardiographic images

Content Provider	IEEE Xplore Digital Library
Author	Veronesi, F. Corsi, C. Mor-Avi, V. Sugeng, L. Caiani, E.G. Weinert, L. Lamberti, C. Lang, R.M.
Copyright Year	2008
Description	Author affiliation: Univ. of Bologna, Bologna (Veronesi, F.; Corsi, C.; Weinert, L.; Lamberti, C.; Lang, R.M.) \|\| Univ. of Chicago, Chicago, IL (Mor-Avi, V.; Sugeng, L.; Caiani, E.G.)
Abstract	The recently developed echocardiographic matrix array transesophageal (mTEE) transducer provides real-time 3D images of high spatial and temporal resolution that may be suitable for detailed simultaneous study of functional anatomy of the mitral and aortic valves. We developed software that detects and tracks throughout the cardiac cycle mitral and aortic annuli (MA and AoA) and tested it in 15 patients with normal valves. Following manual initialization of each annulus in 15 planes rotated around the valvepsilas axis, the position of each annulus was tracked using a two-step 3D feature tracking algorithm based on maximum likelihood and Lucas-Kanade optical flow techniques and parameters of valve geometry were automatically measured throughout the cardiac cycle. Frame-by-frame detection and tracking of MA and AoA was possible in all patients. This approach allowed for the first time non-invasive quantitative measurements of the 3D dynamic geometry of normal MA and AoA and their coupling from mTEE data.
Starting Page	33
Ending Page	36
File Size	204482
Page Count	4
File Format	PDF
ISBN	9781424437061
ISSN	02766547
DOI	10.1109/CIC.2008.4748970
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-14
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Computers in Cardiology(CinC)
Subject Keyword	Valves Geometrical optics Transducers Spatial resolution Image resolution Anatomy Software testing Manuals Maximum likelihood detection Image motion analysis
Content Type	Text
Resource Type	Article

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