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Identifying the Borders of the Upper and Lower Metacarpophalangeal Joint Surfaces on Hand Radiographs

机译:在手部X光片上识别上下掌指关节面的边界

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摘要

In this paper, the next stage of out studies concerning the computer analysis of hand X-ray digital images is described. An algorithm identifying the borders of the upper and lower joint surfaces on hand radiographs is proposed. It is based on local segmentation and profile plots analysis. The described algorithm achieved high efficiency - mean distance distribution signature for complete borders was equal to 0.118mm. Therefore, it can be applied both to trace development of hand joints diseases and analysis of bone contour shapes using syntactic methods.
机译:在本文中,描述了有关手部X射线数字图像的计算机分析的下一阶段研究。提出了一种识别手部X光片上下关节面边界的算法。它基于局部分割和轮廓图分析。所描述的算法实现了高效率-完整边界的平均距离分布签名等于0.118mm。因此,它既可以用于手部关节疾病的发展追踪,也可以使用句法方法分析骨骼轮廓形状。

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