In this paper, based on the ideas of image texture analysis and motion tracking, we present a new method for left ventricular (LV) strain analysis from cine magnetic resonance images(MRI). First, the marking points are extracted with the Harris corner detector on or close to the endocardium and epicardium. Second, using the tree-structured wavelet algorithm, the corresponding marking points are matched automatically and the sparse displacement field is calculated precisely between the consecutive frames. Next, applying radial point interpolation with polynomial basis functions, which is used in the meshfree method, the dense displacement field is interpolated. Finally, LV strains is analyzed. The experimental results show that our method is feasible and effective.