首页> 外文期刊>Contrast media & molecular imaging >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
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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

机译:基于模糊的C-MEANS集群基于算法的磁共振成像图像分割,用于分析埃达拉夫松对急性脑梗死患者血管内皮功能的影响

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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 ( ). 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 ( ), and the VEGF and ET-1 of combined treatment group were greatly inferior to Edaravone group ( ). 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.
机译:本文旨在讨论基于模糊C型聚类(FCM)算法(FCM)算法的磁共振成像(MRI)图像的去噪能力,以及丁苯胺与埃达拉夫酮治疗对急性脑梗死患者神经功能和血管内皮功能的影响( ACI)。基于FCM算法,引入了Markov随机场(MRF)模型算法以获得一种新型算法(NFCM),与错误分类率(MCR)和Kappa指数(Ki)的差异进行了比较FCM和MRF算法。 90名患有2018年12月至2019年12月诊断的ACI患者被选为受试者,被分为组合治疗组(常规治疗?+己酮?+己酰苯甲酸丁酮)和埃达拉夫酮组(常规治疗?+ eDaravone)随机,每个患者组成。在治疗之前和之后比较了国家卫生卷曲量表(NIHSS)评分和内皮函数指数水平,例如血浆一氧化氮(NO),人内皮素-1(ET-1)和血管内皮细胞生长因子(VEGF)两组之间。结果表明,NFCM的MCR明显不如FCM和MRF,而KI相对于其他两种算法显着更高。治疗后,组合治疗组的NIHSS得分为(9.09?±1.86)点和埃达拉夫酮集团(14.97?±3.44)点,两组()之间的明显差异。治疗后,组合治疗是(54.63?±4.85),埃达拉夫酮基团(41.54?±5.27),其相当不同(),以及组合治疗组的VEGF和ET-1非常逊于埃德拉华群()。据透露,基于FCM的新型算法可以获得MRI图像的更有利的质量和分割精度。此外,丁基苯二甲酸丁酯与赤纬治疗结合可以有效地改善ACI中的神经功能,血管内皮功能和短期预后,这是安全和值得临床采用的。

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