Application of CT Multimodal Images in Rehabilitation Monitoring of Long-Distance Running. (4th October 2022)

• Record Type: Journal Article
• Authors: Du, Xufeng; He, Yaye
• Other Names: Nagaraj Balakrishnan Academic Editor.
• Is Part Of: Scanning. Volume 2022(2022)
• Publication Date: 2022-10-04
• Subjects: Scanning electron microscopy -- Periodicals; 502.825
• DOI: 10.1155/2022/6425448
• Languages: English
• ISSNs: 0161-0457

Abstract

Abstract : In order to monitor the rehabilitation of athletes injured in long-distance running, the author proposes a method for rehabilitation monitoring of long-distance running based on CT multimodal images. This method combines the latest multimodal image technology, integrates multimodal technology into CT images to improve the accuracy, performs image segmentation on CT multimodal images through medical segmentation methods, and analyzes the segmented images; finally, it can achieve the effect of rehabilitation treatment for athletes in long-distance running. Experimental results show that the total time taken by the authors' method is 10.9 hours, with an average time of 8 seconds, which is much shorter than the other two control methods. In conclusion, the authors' method allows for better rehabilitation monitoring of long-distance running sports injuries.