NDLI: A new variational technique for combining affine registration and optical flow in echocardiography images

Content Provider	IEEE Xplore Digital Library
Author	Tavakoli, Vahid Nambakhsh, Mohamad Saleh Sahba, Nima Makinian, Amir
Copyright Year	2008
Description	Author affiliation: Research Center for Science and Technology in Medicine, Tehran, 80309 Iran (Sahba, Nima) \|\| MBA Faculty, Sharif University of Technology, Kish, Iran (Makinian, Amir) \|\| BME department, Tehran University, Iran (Tavakoli, Vahid) \|\| Div. of Physics and Engineering, King's College London, Strand, WC2R2LS, UK (Nambakhsh, Mohamad Saleh)
Abstract	Since myocardial motion is directly related to cardiac vascular supply, it can be helpful in diagnosing the heart abnormalities. The most comprehensive and available imaging study of the cardiac function is B-Mode echocardiography. However diagnostic systems are expert dependent and motion is not clear in the B-mode echocardiography images and therefore many efforts are pointed toward proposing new methods to measure the motion accurately. So far there have been many methods for myocardial motion estimation such as affine registration, elastic registration or optical flow but each method suffers from lack of accuracy. To increase the accuracy of motion detection techniques, we propose a new algorithm based on a variational technique to combine the efficiencies of optical flow methods and affine registration in combination with multi-resolution spatiotemporal Spline moments. The evaluation was performed on simulated, synthetic and real data. A comparison between the proposed method and several other methods shows its better performance to measure the motion more accurately in the presence of shear, rotation and noise. The proposed method achieved rotational error of 2.6 degrees per frame and amplitude error of 3.7 percent per frame. These results demonstrate a better efficiency with respect to other B-Mode echocardiography motion estimation techniques such as Lucas-Kanade, Horn-Schunck and spatiotemporal affine technique.
Starting Page	205
Ending Page	208
File Size	267163
Page Count	4
File Format	PDF
ISBN	9781424418145
ISSN	1557170X
DOI	10.1109/IEMBS.2008.4649126
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-20
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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