首页> 外文会议>International Conference on Computer Analysis of Images and Patterns(CAIP 2005); 20050905-08; Versailles(FR) >Method for Automatically Segmenting the Spinal Cord and Canal from 3D CT Images
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Method for Automatically Segmenting the Spinal Cord and Canal from 3D CT Images

机译:从3D CT图像自动分割脊髓和根管的方法

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摘要

We present two approaches for automatically segmenting the spinal cord/canal from native CT images of the thorax region containing the spine. Different strategies are included to handle images where only part of the spinal column is visible. The algorithms require one seed point given on a slice located in the middle region of the spine, and the rest is automatic. The spatial extent of the spinal cord/canal is determined automatically. An extended region-growing technique is suggested for segmenting the spinal canal while active contours are applied if the spinal cord is to be segmented. Both methods work in 2D and use propagated information from neighboring slices. They are also very rapid in execution, that means an efficient, user-friendly workflow. The methods were evaluated by radiologists and were found to be useful (in reducing/eliminating contouring labor and time) and met the accuracy and repeatability requirements for the particular task.
机译:我们提出了两种从包含脊柱的胸部区域的本地CT图像中自动分割脊髓/管的方法。包括不同的策略来处理仅可见部分脊柱的图像。该算法需要在位于脊柱中间区域的切片上给出一个种子点,其余的是自动的。脊髓/管的空间范围是自动确定的。如果要分割脊髓,建议使用扩展区域生长技术分割椎管,同时应用活动轮廓。两种方法均以2D模式工作,并使用来自相邻切片的传播信息。它们的执行速度也非常快,这意味着高效,用户友好的工作流程。放射科医生对这些方法进行了评估,发现这些方法是有用的(减少/消除轮廓加工劳动和时间),并且满足特定任务的准确性和可重复性要求。

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