Application of CT Multimodal Images in Rehabilitation Monitoring of Long-Distance Running.

4区 工程技术 Q3 Physics and Astronomy
Scanning Pub Date : 2022-10-04 eCollection Date: 2022-01-01 DOI:10.1155/2022/6425448
Xufeng Du, Yaye He
{"title":"Application of CT Multimodal Images in Rehabilitation Monitoring of Long-Distance Running.","authors":"Xufeng Du, Yaye He","doi":"10.1155/2022/6425448","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":21633,"journal":{"name":"Scanning","volume":" ","pages":"6425448"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553550/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scanning","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1155/2022/6425448","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"Physics and Astronomy","Score":null,"Total":0}
引用次数: 0

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.

Abstract Image

Abstract Image

Abstract Image

CT 多模态图像在长跑康复监测中的应用
为了监测长跑受伤运动员的康复情况,作者提出了一种基于CT多模态图像的长跑康复监测方法。该方法结合了最新的多模态图像技术,将多模态技术融入到CT图像中以提高准确性,通过医学分割方法对CT多模态图像进行图像分割,并对分割后的图像进行分析,最终达到对长跑运动员进行康复治疗的效果。实验结果表明,作者的方法总耗时为 10.9 小时,平均耗时为 8 秒,大大短于其他两种对照方法。总之,作者的方法可以更好地对长跑运动损伤进行康复监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Scanning
Scanning 工程技术-显微镜技术
CiteScore
4.40
自引率
0.00%
发文量
111
审稿时长
6-12 weeks
期刊介绍: Scanning provides an international and interdisciplinary medium for the rapid exchange of information among all scientists interested in scanning electron, scanning probe, and scanning optical microscopies. Areas of specific interest include all aspects of the instrumentation associated with scanning microscopies, correlative microscopy techniques, stereometry, stereology, analytic techniques, and novel applications of the microscopies.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信