Tracking and data association
Anisotropic filtering for model-based segmentation of 4D cylindrical echocardiographic images
Pattern Recognition Letters - Speciqal issue: Ultrasonic image processing and analysis
Geometric Level Set Methods in Imaging,Vision,and Graphics
Geometric Level Set Methods in Imaging,Vision,and Graphics
Computer-assisted endocardial border identification from a sequence of two-dimensional echocardiographic images
Image denoising using the lyapunov equation from non-uniform samples
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Robust shape tracking in the presence of cluttered background
IEEE Transactions on Multimedia
Edge detection in ultrasound imagery using the instantaneous coefficient of variation
IEEE Transactions on Image Processing
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Tracking the Left Ventricle (LV) in ultrasound sequences remains a challenge due to speckle noise, low SNR and lack of contrast. Therefore, it is usually difficult to obtain accurate estimates of the LV cavities since feature detectors produce a large number of outliers. This paper presents an algorithm which combines two main operations: i) a novel denoising algorithm based on the Lyapounov equation and ii) a robust tracker, based on an outlier feature model. Experimental results are provided, showing that the proposed algorithm is computationally efficient and leads to accurate estimates of the LV.