title: Parameterization of real-time 3D speckle tracking framework for cardiac strain assessment.
abstract: Cross-correlation based 3D speckle tracking algorithm can be used to automatically track myocardial motion on three dimensional real-time (RT3D) echocardiography. The goal of this study was to experimentally investigate the effects of different parameters associated with such algorithm to ensure accurate cardiac strain measurements. The investigation was performed on 10 chronic obstructive pulmonary disease RT3DE cardiac ultrasound images. The following two parameters were investigated: 1) the gradient threshold of the anisotropic diffusion pre-filtering and 2) the window size of the cross correlation template matching in the speckle tracking. Results suggest that the optimal gradient threshold of the anisotropic filter depends on the average gradient of the background speckle noise, and that an optimal pair of template size and search window size can be identified determines the cross-correlation level and computational cost.
authors.affiliation: Department of Biomedical Engineering, Columbia University, ET-351, 1210 AmsterdamAvenue, New York, NY 10027, USA. al2776@columbia.edu
authors.forename: Auranuch
authors.initials: A
authors.lastname: Lorsakul
authors.forename: Qi
authors.initials: Q
authors.lastname: Duan
authors.forename: Ming Jack
authors.initials: MJ
authors.lastname: Po
authors.forename: Elsa
authors.initials: E
authors.lastname: Angelini
authors.forename: Shunichi
authors.initials: S
authors.lastname: Homma
authors.forename: Andrew F
authors.initials: AF
authors.lastname: Laine
mesh_terms: D004452:Echocardiography / Q000379:methods; D006321:Heart / Q000503:physiopathology*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D029424:Pulmonary Disease, Chronic Obstructive / Q000503:physiopathology