Head and Neck Imaging
Application of Manual Image Segmentation in Quantitative Evaluation of Severe Knee Osteoarthritis
Author:CAO Ming-ming, LIU Shu-xue
affiliation:Department of Medical Imaging, Zhongshan Hospital of Traditional Chinese Medicine, Zhongshan 528400, Guangdong Province, China
PDFAbstract
Objective To quantitatively evaluate the cartilage of knee with severe degeneration by manual image segmentation with ITK-SNAP software. Methods The 3D MRI data of 32 Severely degenerative knee joints were collected, the volume of four cartilage cells and the volume of femoral condyle were calculated by manual segmentation, and the differences of each cartilage element were compared, and a single and multivariate linear regression analysis was performed for each cartilage element and age, sex and femoral condyle volume. Results There were significant differences between the volume of cartilage cells, and there was a correlation between the volume of each cartilage unit and the volume of femoral condyle, but no correlation with sex and age. Conclusion The quantitative data of the knee cartilage with severe degeneration can be obtained by manual segmentation .
【Keyword】Articular Cartilage; Image Segmentation; Knee Joint; Magnetic Resonance Imaging
【Chart number】R681.2;R445.2
【Document Identification Number】A
【DOI】 10.3969/j.issn.1672- 5131.2019.05.040
Chinese journal of CT and MRI
th17Volume, th 5 Issue
2019Year05Month
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