基于CT图像的全髋关节置换辅助诊断算法

计算机辅助诊断算法是医学图像处理领域的研究热门。全髋关节置换前医生需要手动对比CT与股骨柄图像进行诊断。提出了一种基于CT图像的人工髋关节置换辅助诊断算法。首先统一CT图像与人工髋关节图像的度量,然后通过图像处理提取CT中股骨头中心与股骨干轴线作为内部基准,最后根据基准对人工髋关节图像进行几何变换,与CT图像融合后以模拟植入后效果,辅助医生诊断。实验结果表明,该算法能够准确地将人工髋关节图像与CT图像配准。

Total Hip Replacement Aided Diagnosis Algorithm Based on CT Image

Computer-aided diagnosis algorithms are popular in the field of medical image processing. Before total hip replacement, doctors need to manually compare CT and femoral stem images for diagnosis.An artificial hip joint replacement diagnosis algorithm based on CT image is proposed.First, the metrics of the CT image and the artificial hip joint image are unified.The image of the femoral head center and the femoral shaft axis in the CT is then extracted as an internal reference by image processing.Finally, the artificial hip joint image is geometrically transformed according to the reference, merging with CT images to simulate post-implantation effects, in order to assist doctors in diagnosis.The experimental results show that the algorithm can accurately register the artificial hip joint image with the CT image.