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Intensity ridge and widths for tubular object segmentation and description

机译：管状物体分割和描述的强度脊和宽度

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Introduces a technique for the automated description of tubular objects in 3D medical images. The goal of automated 3D object description is to extract a representation which consistently details the location, size, and structure of objects in 3D images using minimal user interaction. Such a representation provides a means by which objects can be classified, quantifiably evaluated, and registered. It also serves as a region of interest specification for visualization processes. The technique presented in this paper is suited for generating representations of 3D objects with nearly circular cross sections which have, possibly as a result of a global operation (e.g., blurring), intensity extrema near their centers. Such tubular objects commonly occur within human anatomy (e.g., vessels and selected bones). The medial axis of each of these objects is well approximated by its intensity ridge. The scales of the local maxima in medialness at all points along the ridge can be mapped to local width estimates. Together these measures capture the location, size, and structure of tubular objects. This paper covers the mathematical basis, the implementation issues, and the application of this technique to the extraction of vessels from 3D magnetic resonance angiographic images and bones from 3D X-ray computed tomographic images.
机译：引入了一种用于自动描述3D医学图像中的管状对象的技术。自动化3D对象描述的目的是提取一种表示形式，以最小的用户交互来一致地详细描述3D图像中对象的位置，大小和结构。这样的表示提供了一种方法，通过该方法可以对对象进行分类，量化评估和注册。它还用作可视化过程的关注区域规范。本文介绍的技术适用于生成横截面接近圆形的3D对象表示，这可能是由于全局操作（例如，模糊）导致其中心附近的强度极值所致。这样的管状物体通常发生在人体解剖结构内（例如，血管和选定的骨骼）。这些对象中每个对象的中轴都可以通过其强度脊很好地近似。沿着山脊的所有点的中间度的局部最大值的比例可以映射到局部宽度估计。这些措施共同捕获了管状物体的位置，大小和结构。本文涵盖了数学基础，实现问题以及该技术在从3D磁共振血管造影图像中提取血管和从3D X射线计算机断层扫描图像中提取骨骼的应用。

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