Title of article :
Fuzzy C-Means Clustering Algorithm-Based Magnetic Resonance Imaging Image Segmentation for Analyzing the Effect of Edaravone on the Vascular Endothelial Function in Patients with Acute Cerebral Infarction
Author/Authors :
Yin, Jie Department of Encephalopathy - Qingdao Fifth People’s Hospital - Qingdao, China , Chang, Hong Department of Encephalopathy - Qingdao Fifth People’s Hospital - Qingdao, China , Wang, Dongmei Department of Encephalopathy - Qingdao Fifth People’s Hospital - Qingdao, China , Li, Haifei Department of Encephalopathy - Qingdao Fifth People’s Hospital - Qingdao, China , Yin, Aibing Department of Encephalopathy - Qingdao Fifth People’s Hospital - Qingdao, China
Abstract :
This paper aimed to discuss the denoising ability of magnetic resonance imaging (MRI) images based on fuzzy C-means clustering
(FCM) algorithm and the influence of Butylphthalide combined with Edaravone treatment on nerve function and vascular
endothelial function in patients with acute cerebral infarction (ACI). Based on FCM algorithm, Markov Random Field (MRF)
model algorithm was introduced to obtain a novel algorithm (NFCM), which was compared with FCM and MRF algorithm in
terms of misclassification rate (MCR) and difference of Kappa index (KI). 90 patients with ACI diagnosed in hospital from
December 2018 to December 2019 were selected as subjects, who were divided into combined treatment group (conventional
treatment + Edaravone + Butylphthalide) and Edaravone group (conventional treatment + Edaravone) randomly, each consisting
of 45 cases. The National Institutes of Health Stroke Scale (NIHSS) score and endothelial function index level such as plasma nitric
oxide (NO), human endothelin-1 (ET-1), and vascular endothelial cell growth factor (VEGF) were compared before and after
treatment between the two groups. The results showed that the MCR of NFCM was evidently inferior to FCM and MRF, and the
KI was notably higher relative to the other two algorithms. After treatment, the NIHSS score of the combined treatment group was
(9.09 ± 1.86) points and that of Edaravone group was (14.97 ± 3.44) points, with evident difference between the two groups
(P < 0.05). After treatment, the NO of the combined treatment was (54.63 ± 4.85), and that of Edaravone group was (41.54 ± 5.27),
which was considerably different (P < 0.01), and the VEGF and ET-1 of combined treatment group were greatly inferior to
Edaravone group (P < 0.01). It was revealed that the novel algorithm based on FCM can obtain more favorable quality and
segmentation accuracy of MRI images. Moreover, Butylphthalide combined with Edaravone treatment can effectively improve
nerve function, vascular endothelial function, and short-term prognosis in ACI, which was safe and worthy of clinical adoption.
Keywords :
Fuzzy , NFCM , Algorithm , ACI
Journal title :
Contrast Media and Molecular Imaging