关键词: 房室平面位移, 图像处理, 目标跟踪, 主成分分析

Abstract: The traditional methods of detecting atrioventricular plane displacement have the disadvantages of incomplete measurement information and inaccurate tracking of atrioventricular plane feature points， resulting in distortion of the atrioventricular plane displacement （AVPD） curve. Cardiovascular magnetic resonance （CMR） images can be used to detect room plane displacement more accurately. First， a discriminative correlation filter with channel and spatial reliability （CSR-DCF） is used to enhance the tracking ability of feature points in the atrioventricular plane. Secondly， a three-dimensional atrioventricular plane polyhedron is constructed based on the spatial information of the cardiac MRI images to evaluate the atrioventricular plane displacement as a whole. Finally， the displacement curve of the atrioventricular plane is reconstructed by principal component analysis （PCA）. Experiments show that the reconstructed atrioventricular plane displacement retains more than 96% of the original data information， and the atrioventricular plane displacement curve is smoother and conforms to physiological characteristics.

Key words: atrioventricular plane displacement, image processing, object tracking, principal component analysis