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Low-Rank Matrix Denoising Algorithm-Based Magnetic Resonance Imaging Combined with Computed Tomography Images in the Diagnosis of Cerebral Aneurysm
Scientific Programming Pub Date : 2021-07-06 , DOI: 10.1155/2021/6191230
Daigui Zhang 1 , Lihua Zhou 1 , Tingdi Zhang 2 , Shuai Wang 1 , Yue Li 1
Affiliation  

This study was to analyze the diagnostic effects of computed tomography (CT) and magnetic resonance imaging (MRI) in patients with cerebrovascular diseases (CVDs) based on low-rank matrix denoising (LRMD) algorithm. The LRMD algorithm was adopted for MRI diagnosis and CT diagnosis for comparative analysis. 129 CVD patients were selected as the research objects, 43 cases were diagnosed by CT, 43 cases were diagnosed by MRI under LRMD, and the other 43 cases were diagnosed by CT + MRI. The results showed that the diagnostic compliance rates (DCRs) of CT group in the cerebral hemorrhage (CH), cerebral infarction (CI), and cerebral aneurysm (CA) were 95.1%, 94.7%, and 70%, respectively, while those in the MRI group were 99.01%, 97.71%, and 100%, respectively. Thus, it was obtained that MRI diagnosis was much better than CT diagnosis, and CT + MRI showed the best diagnosis efficacy, showing statistical differences (). The accuracy, sensitivity, and specificity of MRI diagnosis under the LRMD algorithm were 96.28%, 88.76%, and 90.62%, respectively, which were superior to those of CT diagnosis (92.71%, 84.94%, and 80.71%, respectively). The diagnosis cost per case (DC/C) (799.73 ± 100.02 yuan) and the total diagnosis cost (TDC) (58,521.67 ± 301.62 yuan) in the MRI group were higher than those in the CT group (601.42 ± 83.61 yuan and 39,819.2 ± 198.72, respectively) (). In conclusion, CT + MRI under the LRMD algorithm showed good potential in diagnosis of CVD; MRI based on the LRMD algorithm showed a higher positive rate in the diagnosis of CA and was better than CT diagnosis, and CT + MRI showed the best diagnosis effect and could improve the clinical diagnosis rate.

中文翻译:

基于低秩矩阵去噪算法的磁共振成像结合计算机断层扫描图像在脑动脉瘤诊断中的应用

本研究基于低秩矩阵去噪(LRMD)算法分析计算机断层扫描(CT)和磁共振成像(MRI)对脑血管疾病(CVD)患者的诊断效果。MRI诊断和CT诊断采用LRMD算法进行对比分析。选取129例CVD患者作为研究对象,CT确诊43例,LRMD下MRI确诊43例,CT+MRI确诊43例。结果显示,CT组脑出血(CH)、脑梗死(CI)和脑动脉瘤(CA)的诊断依从率(DCRs)分别为95.1%、94.7%和70%,而CT组的诊断依从率(DCRs)分别为95.1%、94.7%和70%。 MRI 组分别为 99.01%、97.71% 和 100%。因此,得出MRI诊断比CT诊断好得多,)。LRMD算法下MRI诊断的准确率、敏感性和特异性分别为96.28%、88.76%和90.62%,优于CT诊断(分别为92.71%、84.94%和80.71%)。MRI组每例诊断费用(DC/C)(799.73±100.02元)和总诊断费用(TDC)(58,521.67±301.62元)高于CT组(601.42±83.61元和39,819.2±3)分别为 198.72) ()。综上所述,LRMD算法下的CT+MRI在CVD诊断中显示出良好的潜力;基于LRMD算法的MRI诊断CA阳性率较高,优于CT诊断,CT+MRI诊断效果最好,可提高临床诊断率。
更新日期:2021-07-06
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