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Automatic Segmentation and Measurement on Knee Computerized Tomography Images for Patellar Dislocation Diagnosis
Traditionally, for diagnosing patellar dislocation, clinicians make manual geometric measurements on computerized tomography (CT) images taken in the knee area, which is often complex and error-prone. Therefore, we develop a prototype CAD system for automatic measurement and diagnosis. We firstly se...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7212331/ https://www.ncbi.nlm.nih.gov/pubmed/32454878 http://dx.doi.org/10.1155/2020/1782531 |
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author | Sun, Limin Kong, Qi Huang, Yan Yang, Jiushan Wang, Shaoshan Zou, Ruiqi Yin, Yilong Peng, Jingliang |
author_facet | Sun, Limin Kong, Qi Huang, Yan Yang, Jiushan Wang, Shaoshan Zou, Ruiqi Yin, Yilong Peng, Jingliang |
author_sort | Sun, Limin |
collection | PubMed |
description | Traditionally, for diagnosing patellar dislocation, clinicians make manual geometric measurements on computerized tomography (CT) images taken in the knee area, which is often complex and error-prone. Therefore, we develop a prototype CAD system for automatic measurement and diagnosis. We firstly segment the patella and the femur regions on the CT images and then measure two geometric quantities, patellar tilt angle (PTA), and patellar lateral shift (PLS) automatically on the segmentation results, which are finally used to assist in diagnoses. The proposed quantities are proved valid and the proposed algorithms are proved effective by experiments. |
format | Online Article Text |
id | pubmed-7212331 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-72123312020-05-23 Automatic Segmentation and Measurement on Knee Computerized Tomography Images for Patellar Dislocation Diagnosis Sun, Limin Kong, Qi Huang, Yan Yang, Jiushan Wang, Shaoshan Zou, Ruiqi Yin, Yilong Peng, Jingliang Comput Math Methods Med Research Article Traditionally, for diagnosing patellar dislocation, clinicians make manual geometric measurements on computerized tomography (CT) images taken in the knee area, which is often complex and error-prone. Therefore, we develop a prototype CAD system for automatic measurement and diagnosis. We firstly segment the patella and the femur regions on the CT images and then measure two geometric quantities, patellar tilt angle (PTA), and patellar lateral shift (PLS) automatically on the segmentation results, which are finally used to assist in diagnoses. The proposed quantities are proved valid and the proposed algorithms are proved effective by experiments. Hindawi 2020-01-28 /pmc/articles/PMC7212331/ /pubmed/32454878 http://dx.doi.org/10.1155/2020/1782531 Text en Copyright © 2020 Limin Sun et al. http://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 Sun, Limin Kong, Qi Huang, Yan Yang, Jiushan Wang, Shaoshan Zou, Ruiqi Yin, Yilong Peng, Jingliang Automatic Segmentation and Measurement on Knee Computerized Tomography Images for Patellar Dislocation Diagnosis |
title | Automatic Segmentation and Measurement on Knee Computerized Tomography Images for Patellar Dislocation Diagnosis |
title_full | Automatic Segmentation and Measurement on Knee Computerized Tomography Images for Patellar Dislocation Diagnosis |
title_fullStr | Automatic Segmentation and Measurement on Knee Computerized Tomography Images for Patellar Dislocation Diagnosis |
title_full_unstemmed | Automatic Segmentation and Measurement on Knee Computerized Tomography Images for Patellar Dislocation Diagnosis |
title_short | Automatic Segmentation and Measurement on Knee Computerized Tomography Images for Patellar Dislocation Diagnosis |
title_sort | automatic segmentation and measurement on knee computerized tomography images for patellar dislocation diagnosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7212331/ https://www.ncbi.nlm.nih.gov/pubmed/32454878 http://dx.doi.org/10.1155/2020/1782531 |
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