A method for the dynamic analysis of the heart using a Lyapounov based denoising algorithm.
Heart tracking in ultrasound sequences is a difficult task due to speckle noise, low SNR and lack of contrast. Therefore it is usually difficult to obtain robust estimates of the heart 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, recently proposed by the authors, based on a model of the outlier features. Experimental results are provided, showing that the proposed algorithm is computationally efficient and leads to accurate estimates of the left ventricle during the cardiac cycle.
Nascimento
Jacinto C
JC
Inst. de Sistemas e Robótica, Inst. Superior Técnico.
Sanches
João M
JM
Marques
Jorge S
JS
D000465:Algorithms; D016477:Artifacts; D001185:Artificial Intelligence; D002309:Cardiology / Q000295:instrumentation / Q000379:methods; D006321:Heart / Q000033:anatomy & histology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation; D015233:Models, Statistical; D010363:Pattern Recognition, Automated; D011336:Probability; D013382:Subtraction Technique