人工智能
医学诊断
计算机视觉
分割
倾斜(摄像机)
髌骨
计算机科学
断层摄影术
股骨
医学
图像分割
口腔正畸科
放射科
数学
外科
几何学
作者
Limin Sun,Qi Kong,Yan Huang,Jiushan Yang,Shaoshan Wang,Ruiqi Zou,Yilong Yin,Jingliang Peng
摘要
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.
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