Contour tracking in echocardiographic sequences via sparse representation and dictionary learning

Author:

Huang Xiaojie,Dione Donald P.,Compas Colin B.,Papademetris Xenophon,Lin Ben A.,Bregasi Alda,Sinusas Albert J.,Staib Lawrence H.,Duncan James S.

Funder

National Institutes of Health

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference66 articles.

1. K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation;Aharon;IEEE TSP,2006

2. LV volume quantification via spatio-temporal analysis of real-time 3D echocardiography;Angelini;IEEE TMI,2001

3. Baraniuk, R.G., Candès, E., Elad, M., Ma, Y., 2010. Applications of sparse representation and compressive sensing. In: Proc. IEEE, pp. 906–909.

4. Automatic segmentation of echocardiographic sequences by active appearance motion models;Bosch;IEEE TMI,2002

5. Boukerroui, D., Noble, J.A., Brady, M., 2003. Velocity estimation in ultrasound images: a block matching approach. In: IPMI’03, pp. 586–598.

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