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Application of CT Multimodal Images in Rehabilitation Monitoring of Long-Distance Running
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 C...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553550/ https://www.ncbi.nlm.nih.gov/pubmed/36263095 http://dx.doi.org/10.1155/2022/6425448 |
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author | Du, Xufeng He, Yaye |
author_facet | Du, Xufeng He, Yaye |
author_sort | Du, Xufeng |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9553550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-95535502022-10-18 Application of CT Multimodal Images in Rehabilitation Monitoring of Long-Distance Running Du, Xufeng He, Yaye Scanning Research Article 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. Hindawi 2022-10-04 /pmc/articles/PMC9553550/ /pubmed/36263095 http://dx.doi.org/10.1155/2022/6425448 Text en Copyright © 2022 Xufeng Du and Yaye He. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Du, Xufeng He, Yaye Application of CT Multimodal Images in Rehabilitation Monitoring of Long-Distance Running |
title | Application of CT Multimodal Images in Rehabilitation Monitoring of Long-Distance Running |
title_full | Application of CT Multimodal Images in Rehabilitation Monitoring of Long-Distance Running |
title_fullStr | Application of CT Multimodal Images in Rehabilitation Monitoring of Long-Distance Running |
title_full_unstemmed | Application of CT Multimodal Images in Rehabilitation Monitoring of Long-Distance Running |
title_short | Application of CT Multimodal Images in Rehabilitation Monitoring of Long-Distance Running |
title_sort | application of ct multimodal images in rehabilitation monitoring of long-distance running |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553550/ https://www.ncbi.nlm.nih.gov/pubmed/36263095 http://dx.doi.org/10.1155/2022/6425448 |
work_keys_str_mv | AT duxufeng applicationofctmultimodalimagesinrehabilitationmonitoringoflongdistancerunning AT heyaye applicationofctmultimodalimagesinrehabilitationmonitoringoflongdistancerunning |