Evaluation of Variable Parameter Active Demons Algorithm-Based Diffusion Tensor Imaging on Ventricular Remodeling after Myocardial Infarction and Nursing

• Main Authors: Yanhua Liu, Xiaojie Wu, Yu Zhang, Na Li, Hua Luan
• Format: Article
• Language: English
• Published: Hindawi Limited 2021-01-01
• Series: Scientific Programming
• Online Access: http://dx.doi.org/10.1155/2021/6419240

This study aimed to explore the effect of diffusion tensor imaging (DTI) image registration algorithm in the evaluation of ventricular remodeling in patients with myocardial infarction and the therapeutic effect of cross-theoretical model rehabilitation exercise care. The dynamic balance coefficient k was introduced to construct the DTI image registration algorithm k-AD based on the variable parameter AD algorithm. Then, it was compared with demons algorithm and AD algorithm and was applied in 110 patients with acute myocardial infarction. All patients were divided into the 55 cases of experimental group (cross-theoretical model rehabilitation exercise nursing) and 55 cases of control group (routine nursing). The myocardial tissue was labelled as infarction zone (IZ), infarction border zone (IBZ), and noninfarcted zone (NIZ). Finally, the fractional anisotropy (FA) and mean diffusivity (MD) were calculated. The results showed that the mean square error (MSE) of k-AD algorithm reduced to 0 after 35 iterations. The descent speed was obviously faster than AD and demons algorithms. The overlap of eigenvalue-eigenvector pairs (OVL-EEP) value of k-AD algorithm (0.25) was smaller than demons (0.81) and AD algorithms (0.56) (P<0.05). The FA value in IZ was notably smaller than IBZ and NIZ, while the MD value was greater than those (P<0.05). After nursing intervention, the FA value of myocardial infarction area in the experimental group was notably higher in contrast to control group, but the MD value was notably lower in contrast to it (P<0.05). In short, the DTI image registration algorithm k-AD based on the variable parameter AD algorithm was remarkably better than the demons and AD algorithms in convergence and DTI image registration. FA and MD values obtained by DTI registration image based on k-AD algorithm could clearly indicate the ventricular remodeling after myocardial infarction and the rehabilitation effect of cross-theoretical model rehabilitation exercise nursing intervention.