Abstract
This study was to explore the effect of computed tomography (CT) images processed by image edge detection technology based on the improved Canny algorithm in the diagnosis of stroke patients with mobility dysfunction and to evaluate the clinical application value of early rehabilitation nursing (ERN). 114 patients who were diagnosed and treated in hospital and were suspected of having stroke movement dysfunction were selected as the research objects, and they were randomly divided into two groups, each with 57 patients. Patients in the control group were diagnosed with conventional CT examination, and the patients in observation group were diagnosed based on the CT images processed by the image edge detection technology based on the improved Canny algorithm. Patients in the observation group were divided into a group C and a group O. Patients (27 cases) in group O received rehabilitation training within 3 days after their vital signs were stabilized, and patients (30 cases) in group C received rehabilitation training within 3∼7 days after their condition was stabilized. The CT image diagnosis effects on patients of the control group and the observation group were analyzed, and the ERN effect on patients of the C group and the O group was compared. The results showed that the mean square error (MSE) of the improved Canny algorithm (233.78) was smaller than that of the traditional Canny algorithm and Sobel and Prewitt algorithm, and the peak signal-to-noise ratio (PSNR) (27.89) was greater than that of the traditional Canny algorithm and Sobel and Prewitt algorithm ( P < 0.05 ). Compared with the control group, the sensitivity (85.00% vs. 62.12%), specificity (70.59% vs. 36.36%), and accuracy (80.70% vs. 54.39%) of the examination method of the observation group were much higher ( P < 0.05 ). In addition, the total effective rate of patients in group O was 89.47%, which was greatly higher than that of group C (70.18%), and the scores of Meyer index and Barthel index were also higher in contrast to those of group C ( P < 0.05 ). In conclusion, the improved Canny algorithm showed a clearer display on the edge detection of CT images and good application effect. It showed the effect of making conventional CT more accurate in the examination and diagnosis of stroke patients, and it was worthy of clinical application and promotion. The research showed that the timelier rehabilitation training, the better the treatment effect of patients.
Highlights
Stroke is a cerebrovascular disease (CVD) that seriously endangers human health, showing the characteristics of high morbidity, high mortality, high disability, and high recurrence rate [1]
Among the 114 patients, 68 were males and 46 were females, and they aged 40∼75 years old, with an average age of 56.34 ± 8.78 years old. ey were randomly divided into an observation group and a control group, with 57 people in each group. e patients in control group were diagnosed using conventional computed tomography (CT) images, and the patients in observation group were diagnosed with CT images processed by the image edge detection technology based on the improved Canny algorithm. e patients in the observation group were again divided into a group C and a group O
It can be known that the improved Canny algorithm showed the finest detection results and strong antinoise and antifalse edge capabilities; the detected edges were meticulous and continuous, and the detection accuracy of weak edges was higher than that of the traditional Canny algorithm, Sobel algorithm, and Prewitt algorithm
Summary
Stroke is a cerebrovascular disease (CVD) that seriously endangers human health, showing the characteristics of high morbidity, high mortality, high disability, and high recurrence rate [1]. With the continuous advancement of medical technology, the survival rate of stroke patients has been improved, but patients will still experience various degrees of limb dysfunction after surgery [5], such as limb movement disorders, limb paresthesia, slurred speech, difficulty walking, and ataxia, which will significantly reduce the quality of life of patients [6] and increase the financial burden of patients’ families. Multiple clinical studies have shown that choosing appropriate rehabilitation treatment and nursing programs after surgery is beneficial to the recovery of patients and is the most effective way to reduce the disability rate. Multiple clinical studies have shown that choosing appropriate rehabilitation treatment and nursing programs after surgery is beneficial to the recovery of patients and is the most effective way to reduce the disability rate. e earlier rehabilitation training is carried out, the better the rehabilitation effect of patients is [7,8,9]
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