首页> 外文会议>Image Processing pt.2; Progress in Biomedical Optics and Imaging; vol.6 no.24 >Reconstruction of rotary DSA vessel axis based on the matching of multiple projections
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Reconstruction of rotary DSA vessel axis based on the matching of multiple projections

机译:基于多个投影的匹配重建DS​​A旋转容器轴

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摘要

A novel method of the matching and reconstruction of DSA vessel axis is proposed based on the redundant information from multiple two-dimensional (2-D) projections of the object. First, a correlation scheme on pixels gray level is used to extract the vessel structure on every projection. Through this way, we acquire a binary image. Secondly, Hit-Miss Transform (HMT) is applied on the binary image to produce a vessel axis image. Thirdly, an arbitrary projection is chosen as base image, and others are chosen as reference images. For each key point in the base image, the matching points are found from the key points of the reference images according to epipolar geometry and the topological linking relations of vessel branches. The matching segments are determined from matched key points. If one segment of vessel axis in the base image is confirmed to be matching with one in the reference image, an interpolation process may be used to find out the corresponding relationship of points on these two segments. Then we can get a continuous 3-D segment of DSA vessel axis according to reconstruction the matched points between two views. The whole process is executed repeatedly when another image is selected as base image. The experiment result shows that this method may provide satisfactory reconstruction even the vessel extraction result is not very accurate.
机译:基于来自物体的多个二维(2-D)投影的冗余信息,提出了一种DSA血管轴的匹配和重构的新方法。首先,使用像素灰度级的相关方案来提取每个投影上的血管结构。通过这种方式,我们获得了二进制图像。其次,在二值图像上应用“命中小姐变换”(HMT)以产生血管轴图像。第三,选择任意投影作为基础图像,选择其他投影作为参考图像。对于基础图像中的每个关键点,根据对极几何形状和血管分支的拓扑联系关系,从参考图像的关键点中找到匹配点。匹配段是从匹配的关键点确定的。如果确定基础图像中的血管轴的一个片段与参考图像中的一个相匹配,则可以使用插值处理来找出这两个片段上的点的对应关系。然后,通过重建两个视图之间的匹配点,可以得到DSA血管轴的连续3-D片段。当选择另一张图像作为基本图像时,整个过程将重复执行。实验结果表明,即使血管提取结果不是很准确,该方法也可以提供令人满意的重建效果。

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