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作 者:朱卓樾 黄欢 宋清玲 侯居攀 ZHU Zhuo-yue;HUANG Huan;SONG Qing-ling;HOU Ju-pan(School of Electrical Engineering and Automation,Jiangsu Normal University,Xuzhou 221116,China)
机构地区:[1]江苏师范大学电气工程及自动化学院,江苏徐州221116
出 处:《计算机与现代化》2023年第4期78-82,共5页Computer and Modernization
基 金:国家自然科学基金资助项目(61503167);江苏省研究生科研与实践创新计划项目(SJCX20_0905)。
摘 要:传统检测房室平面位移的方法因测量信息不完整及房室平面特征点跟踪不准等缺点,造成房室平面位移(Atrioventricular Plane Displacement,AVPD)曲线失真。利用图像处理技术结合心血管核磁共振图像(Cardiovascular Magnetic Resonance,CMR)可以更准确地检测室平面位移。首先,采用具有通道和空间可靠性的判别相关滤波器(Discriminative Correlation Filter with Channel and Spatial Reliability,CSR-DCF)增强对房室平面特征点的跟踪能力。其次,基于心脏核磁共振图像的空间信息构建三维的房室平面多面体,从整体上评估房室平面位移。最后,通过主成分分析法(Principal Component Analysis,PCA)重建房室平面的位移曲线。实验表明,本文方法重建后的房室平面位移保留了原始数据信息的96%以上并且房室平面位移曲线更加平滑的同时符合生理特性。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.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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