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基于模糊均值聚类算法的磁共振成像图像分割分析依达拉奉对急性脑梗死患者血管内皮功能的影响。

Fuzzy -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.

机构信息

Department of Encephalopathy, Qingdao Fifth People's Hospital, Qingdao 266002, China.

出版信息

Contrast Media Mol Imaging. 2021 Jul 14;2021:4080305. doi: 10.1155/2021/4080305. eCollection 2021.

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 ( < 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 ( < 0.01), and the VEGF and ET-1 of combined treatment group were greatly inferior to Edaravone group ( < 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.

摘要

本文旨在探讨基于模糊 C-均值聚类(FCM)算法的磁共振成像(MRI)图像去噪能力,以及丁基苯酞联合依达拉奉治疗对急性脑梗死(ACI)患者神经功能和血管内皮功能的影响。基于 FCM 算法,引入马尔可夫随机场(MRF)模型算法,得到一种新算法(NFCM),并从误分类率(MCR)和 Kappa 指数(KI)差异两个方面与 FCM 和 MRF 算法进行比较。选取 2018 年 12 月至 2019 年 12 月在我院诊断为 ACI 的 90 例患者为研究对象,随机分为联合治疗组(常规治疗+依达拉奉+丁基苯酞)和依达拉奉组(常规治疗+依达拉奉),每组 45 例。比较两组治疗前后的美国国立卫生研究院卒中量表(NIHSS)评分和内皮功能指标水平,如血浆一氧化氮(NO)、人内皮素-1(ET-1)和血管内皮细胞生长因子(VEGF)。结果表明,NFCM 的 MCR 明显低于 FCM 和 MRF,KI 明显高于其他两种算法。治疗后,联合治疗组 NIHSS 评分(9.09±1.86)分,依达拉奉组(14.97±3.44)分,两组比较差异有统计学意义( < 0.05)。治疗后,联合治疗组 NO 为(54.63±4.85),依达拉奉组为(41.54±5.27),差异有统计学意义( < 0.01),联合治疗组 VEGF 和 ET-1 明显低于依达拉奉组( < 0.01)。结果表明,基于 FCM 的新算法可以获得更优的 MRI 图像质量和分割精度。此外,丁基苯酞联合依达拉奉治疗能有效改善 ACI 患者的神经功能、血管内皮功能和短期预后,安全有效,值得临床推广。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1cd/8295001/25ad145a21c2/CMMI2021-4080305.001.jpg

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