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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Nascimento, J. C., Sanches, J. M., & Marques, J. S. (2007). Tracking the left ventricle in ultrasound images based on total variation denoising. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4478 LNCS, pp. 628–636). Springer Verlag. https://doi.org/10.1007/978-3-540-72849-8_79
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