Extraction of line properties based on direction fields
Extraction of line properties based on direction fields
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DOI：
10.1109/42.481440
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发表时间：
1996-02-01
影响因子：
10.6
通讯作者：
Stier, S
中科院分区：
文献类型：
--
作者：
Kutka, R;Stier, S
我们提出了一套新的算法，用于分割线，主要是X射线图像中的血管，并提取其强度，直径和中心线等属性，我们开发了一种跟踪算法，该算法考虑到血管的属性检查规则，该工具甚至可以检测直径为两个像素且对比度较差的静脉，动脉或导管，与其他算法相比，如Canny线检测器或各向异性扩散，我们提取了一个更平滑和连接的血管树，没有图像背景中的伪影。由于这些工具依赖于共同的中间结果，当它们一起使用时，它们非常快。我们的结果将支持从立体投影重建血管树的3-D。此外，我们利用我们的线强度测量来增强和改善2-D X射线图像中血管的可见性。经处理的图像旨在支持放射科医生进行诊断、放射治疗计划和手术计划。放射科医生验证了经处理图像的质量得到提高，相关细节（尤其是细血管）的可见性得到增强。
We present a new set of algorithms for segmenting lines, mainly blood vessels in X-ray images, and extracting properties such as their intensities, diameters, and center lines, We developed a tracking algorithm that checks rules taking the properties of vessels into account, The tools even detect veins, arteries, or catheters of two pixels in diameter and with poor contrast, Compared with other algorithms, such as the Canny line detector or anisotropic diffusion, we extract a smoother and connected vessel tree without artifacts in the image background, As the tools depend on common intermediate results, they are very fast when used together, Our results will support the 3-D reconstruction of the vessel tree from stereoscopic projections, Moreover, we make use of our line intensity measure for enhancing and improving the visibility of vessels in 2-D X-ray images. The processed images are intended to support radiologists in diagnosis, radiation therapy planning, and surgical planning, Radiologists verified the improved quality of the processed images and the enhanced visibility of relevant details, particularly fine blood vessels.