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

Medicine

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