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Automatic Segmentation and Measurement on Knee Computerized Tomography Images for Patellar Dislocation Diagnosis
Joint Authors
Yin, Yilong
Sun, Limin
Kong, Qi
Huang, Yan
Yang, Jiushan
Wang, Shaoshan
Zou, Ruiqi
Peng, Jingliang
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-28
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Sun, Limin& Kong, Qi& Huang, Yan& Yang, Jiushan& Wang, Shaoshan& Zou, Ruiqi…[et al.]. 2020. Automatic Segmentation and Measurement on Knee Computerized Tomography Images for Patellar Dislocation Diagnosis. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1139350
Modern Language Association (MLA)
Sun, Limin…[et al.]. Automatic Segmentation and Measurement on Knee Computerized Tomography Images for Patellar Dislocation Diagnosis. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1139350
American Medical Association (AMA)
Sun, Limin& Kong, Qi& Huang, Yan& Yang, Jiushan& Wang, Shaoshan& Zou, Ruiqi…[et al.]. Automatic Segmentation and Measurement on Knee Computerized Tomography Images for Patellar Dislocation Diagnosis. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1139350
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139350