Tracking the Left Ventricle in Ultrasound Images Based on Total Variation Denoising

Abstract. 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.

• Type: Conference
• Year: 2007
• Where: IBPRIA
• Authors: Jacinto C. Nascimento, João M. Sanches, Jorge S. Marques
• Keywords: Accurate Estimates, IBPRIA 2007, Image, Image Analysis, LV Cavities, Outlier Feature Model