The study aimed to analyze the application of diffusion tensor imaging (DTI) in the surgery of benign and malignant intracranial tumors through improved fuzzy C-means (FCM). First, a method of combining the maximum and minimum distances was proposed to improve the FCM algorithm. Then, the optimized FCM was applied to the diffusion tensor imaging (DTI) diagnosis. The patients were rolled into the benign tumor group and the malignant tumor group, and relevant parameters were compared. Finally, the postoperative total resection rate and disability rate of the DTI experimental group and the traditional control (Ctrl) group were evaluated. It was found that the segmentation accuracy of the optimized FCM algorithm was higher than traditional one and the obtained corpus callosum edge contour was clearer. In 63 patients with intracranial space, there were obvious differences in pairwise comparison of meningioma and glioma, metastatic tumor’s apparent diffusion coefficient (ADC) value, relative apparent diffusion coefficient (r ADC) value, and relative anisotropy fraction (r FA) . In terms of the ADC, r ADC, and r FA values of tumor parenchymal area, those of benign tumors were larger than malignant tumors . The ADC value (8.21 ± 1.87) and r FA value (1.36 ± 0.41) of the contralateral normal white matter area of malignant tumor were greater than the ADC value (7.23 ± 2.31) and r FA value (0.61 ± 0.24) of the peritumor white matter area, with statistically significant differences . The total cut rates of the experimental group and the Ctrl were 87.5% and 54.84%, and the disability rates were 6.25% and 34.38%. In conclusion, the optimized FCM has high accuracy. The ADC, r ADC, and r FA values of DTI are important in the diagnosis of intracranial tumors. Besides, DTI can improve the survival rate in guiding intracranial tumor resection.

中文翻译：

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优化模糊C-Means聚类算法下弥散张量成像在脑内良恶性肿瘤切除中的应用

本研究旨在通过改进模糊C均值（FCM）分析弥散张量成像（DTI）在良恶性颅内肿瘤手术中的应用。首先，提出了一种结合最大和最小距离的方法来改进FCM算法。然后，将优化后的 FCM 应用于扩散张量成像 (DTI) 诊断。将患者分为良性肿瘤组和恶性肿瘤组，比较相关参数。最后对DTI实验组和传统对照组(Ctrl)组的术后全切率和致残率进行评价。发现优化后的FCM算法分割精度高于传统算法，获得的胼胝体边缘轮廓更加清晰。在 63 名颅内间隙患者中，. 从肿瘤实质区域的ADC、r ADC和r FA值来看，良性肿瘤大于恶性肿瘤. 恶性肿瘤对侧正常白质区ADC值（8.21±1.87）和rFA值（1.36±0.41）大于瘤周ADC值（7.23±2.31）和rFA值（0.61±0.24）白质区域，具有统计学显着差异. 实验组和Ctrl组的总切率分别为87.5%和54.84%，致残率分别为6.25%和34.38%。综上所述，优化后的 FCM 具有较高的准确性。DTI的ADC、r ADC和r FA值对颅内肿瘤的诊断具有重要意义。此外，DTI在指导颅内肿瘤切除方面可提高生存率。