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Scale Invariant Feature Transformation Algorithm-Based Magnetic Resonance Imaging-Assisted Diagnosis of Patients with Stroke and Rehabilitation Nursing
Scientific Programming Pub Date : 2021-05-31 , DOI: 10.1155/2021/4677210
Guoying Liu 1
Affiliation  

The aim of this paper was to explore the effects of magnetic resonance imaging (MRI) diagnosis in the treatment and rehabilitation of stroke patients. 80 stroke patients admitted to hospital were selected for the experiment and divided randomly into a control group (group A) and an experimental group (group B), with 40 patients in each group. Patients in group B received MRI examination and rehabilitation training every month under their disease progresses, while patients in group A received routine rehabilitation training instead of MRI examination. The results showed that various indicators of patients, including Fugl-Meyer Assessment (FMA), Berg Balance Scale (BBS), Timed “Up&Go” test (TUG), 6-minute walking test (6MWT), modified Barthel index (MBI), and stroke-specific quality of life scale (SS-QOL), in group B were better than those in group A. It indicated that personalized rehabilitation training under MRI examination had a better effect on recovery of patients. Besides, the MRI images optimized by scale invariant feature transformation (SIFT) algorithm had better resolution, which were helpful for doctors’ diagnosis of disease. MBI scale and SS-QOL showed that the self-care ability and quality of life of patients in group B were better than those of group A. Therefore, the above results indicated that MRI diagnosis could accurately judge disease progress of patients to draw up personalized rehabilitation training plan, which had positive effects on promoting treatment and prognosis of stroke patients.

中文翻译:

基于尺度不变特征变换算法的脑卒中患者磁共振成像辅助诊断及康复护理

本文旨在探讨磁共振成像(MRI)诊断在脑卒中患者治疗和康复中的作用。选取住院脑卒中患者80例进行实验,随机分为对照组(A组)和实验组(B组),每组40例。B组患者根据病情进展每月接受MRI检查和康复训练,A组患者接受常规康复训练代替MRI检查。结果显示,患者各项指标,包括Fugl-Meyer评估(FMA)、Berg平衡量表(BBS)、定时“Up&Go”测试(TUG)、6分钟步行测试(6MWT)、改良Barthel指数(MBI)、和卒中特异性生活质量量表 (SS-QOL),B组优于A组,说明MRI检查下个性化康复训练对患者康复效果更好。此外,通过尺度不变特征变换(SIFT)算法优化的MRI图像具有更好的分辨率,有助于医生的疾病诊断。MBI 量表和 SS-QOL 显示 B 组患者的自理能力和生活质量优于 A 组。 因此,上述结果表明 MRI 诊断可以准确判断患者的疾病进展,制定个性化的康复训练计划,对促进脑卒中患者的治疗和预后有积极作用。尺度不变特征变换(SIFT)算法优化后的MRI图像具有更好的分辨率,有助于医生诊断疾病。MBI 量表和 SS-QOL 显示 B 组患者的自理能力和生活质量优于 A 组。 因此,上述结果表明 MRI 诊断可以准确判断患者的疾病进展,制定个性化的康复训练计划,对促进脑卒中患者的治疗和预后有积极作用。尺度不变特征变换(SIFT)算法优化后的MRI图像具有更好的分辨率,有助于医生诊断疾病。MBI 量表和 SS-QOL 显示 B 组患者的自理能力和生活质量优于 A 组。 因此,上述结果表明 MRI 诊断可以准确判断患者的疾病进展,制定个性化的康复训练计划,对促进脑卒中患者的治疗和预后有积极作用。
更新日期:2021-05-31
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