股骨CT图像轮廓跟踪方法

A Boundary Tracking Approach for Femur Contour Detection in CT

目的 为重建和测量股骨的解剖结构 ,需要大量地读取CT图像的信息 ,以获得股骨轮廓的坐标值。方法 本研究采用直方图阈值图像分割、Kirsh边缘提取法获得股骨的二值化轮廓图像。结果 轮廓坐标的提取应用了“迷宫”边缘跟踪算法。结论 本方法可大量、快捷。

Objective The study on femur morphological characteristics is important to the early diagnosis of congenital hip joint dislocation and determination of the appropriate location for implantation of femur prosthesis.Methods In reconstructing and measuring anatomic structure of femur, more information of CT image were detected for acquiring the acetabulum contour coordinate. Results The algorithm of histogramthreshold segmenting and Kirsh boundary detection were employed for making a binary contour image.Conclusion The coordinate of contour were detected by “maze” boundary tracking algorithm .This approach could process the information of image contour in large amount, rapid speed with less error.