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An Orthopedic Auxiliary Diagnosis System Based on Image Recognition Technology

There are many kinds of orthopedic diseases with complex professional background, and it is easy to miss diagnosis and misdiagnosis. The computer-aided diagnosis system of orthopedic diseases based on the key technology of medical image processing can locate and display the lesion location area by v...

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Detalles Bibliográficos
Autores principales: Guo, Yang, Chen, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629649/
https://www.ncbi.nlm.nih.gov/pubmed/34853668
http://dx.doi.org/10.1155/2021/4644392
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author Guo, Yang
Chen, Chen
author_facet Guo, Yang
Chen, Chen
author_sort Guo, Yang
collection PubMed
description There are many kinds of orthopedic diseases with complex professional background, and it is easy to miss diagnosis and misdiagnosis. The computer-aided diagnosis system of orthopedic diseases based on the key technology of medical image processing can locate and display the lesion location area by visualization, measuring and providing disease diagnosis indexes. It is of great significance to assist orthopedic doctors to diagnose orthopedic diseases from the perspective of visual vision and quantitative indicators, which can improve the diagnosis rate and accuracy of orthopedic diseases, reduce the pain of patients, and shorten the treatment time of diseases. To solve the problem of possible spatial inconsistency of medical images of orthopedic diseases, we propose an image registration method based on volume feature point selection and Powell. Through the linear search strategy of golden section method and Powell algorithm optimization, the best spatial transformation parameters are found, which maximizes the normalized mutual information between images to be registered, thus ensuring the consistency of two-dimensional spatial positions. According to the proposed algorithm, a computer-aided diagnosis system of orthopedic diseases is developed and designed independently. The system consists of five modules, which can complete many functions such as medical image input and output, algorithm processing, and effect display. The experimental results show that the system developed in this paper has good results in cartilage tissue segmentation, bone and urate agglomeration segmentation, urate agglomeration artifact removal, two-dimensional and three-dimensional image registration, and visualization. The system can be applied to clinical gout and cartilage defect diagnosis and evaluation, providing sufficient basis to assist doctors in making diagnosis decisions.
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spelling pubmed-86296492021-11-30 An Orthopedic Auxiliary Diagnosis System Based on Image Recognition Technology Guo, Yang Chen, Chen J Healthc Eng Research Article There are many kinds of orthopedic diseases with complex professional background, and it is easy to miss diagnosis and misdiagnosis. The computer-aided diagnosis system of orthopedic diseases based on the key technology of medical image processing can locate and display the lesion location area by visualization, measuring and providing disease diagnosis indexes. It is of great significance to assist orthopedic doctors to diagnose orthopedic diseases from the perspective of visual vision and quantitative indicators, which can improve the diagnosis rate and accuracy of orthopedic diseases, reduce the pain of patients, and shorten the treatment time of diseases. To solve the problem of possible spatial inconsistency of medical images of orthopedic diseases, we propose an image registration method based on volume feature point selection and Powell. Through the linear search strategy of golden section method and Powell algorithm optimization, the best spatial transformation parameters are found, which maximizes the normalized mutual information between images to be registered, thus ensuring the consistency of two-dimensional spatial positions. According to the proposed algorithm, a computer-aided diagnosis system of orthopedic diseases is developed and designed independently. The system consists of five modules, which can complete many functions such as medical image input and output, algorithm processing, and effect display. The experimental results show that the system developed in this paper has good results in cartilage tissue segmentation, bone and urate agglomeration segmentation, urate agglomeration artifact removal, two-dimensional and three-dimensional image registration, and visualization. The system can be applied to clinical gout and cartilage defect diagnosis and evaluation, providing sufficient basis to assist doctors in making diagnosis decisions. Hindawi 2021-11-22 /pmc/articles/PMC8629649/ /pubmed/34853668 http://dx.doi.org/10.1155/2021/4644392 Text en Copyright © 2021 Yang Guo and Chen Chen. 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
Guo, Yang
Chen, Chen
An Orthopedic Auxiliary Diagnosis System Based on Image Recognition Technology
title An Orthopedic Auxiliary Diagnosis System Based on Image Recognition Technology
title_full An Orthopedic Auxiliary Diagnosis System Based on Image Recognition Technology
title_fullStr An Orthopedic Auxiliary Diagnosis System Based on Image Recognition Technology
title_full_unstemmed An Orthopedic Auxiliary Diagnosis System Based on Image Recognition Technology
title_short An Orthopedic Auxiliary Diagnosis System Based on Image Recognition Technology
title_sort orthopedic auxiliary diagnosis system based on image recognition technology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629649/
https://www.ncbi.nlm.nih.gov/pubmed/34853668
http://dx.doi.org/10.1155/2021/4644392
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