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Virtual Contrast for Coronary Vessels Based on Level Set Generated Subvoxel Accurate Centerlines

机译:基于水平集生成的亚体素精确中心线的冠状血管虚拟对比度

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摘要

We present a tool for tracking coronary vessels in MRIscans of the human heart to aid in the screening of heartdiseases. The vessels are identified through a single click insideeach vessel present in a standard orthogonal view. The vesselidentification results from a series of computational stepsincluding eigenvalue analysis of the Hessian of the MRI imagefollowed by a level set-based extraction of the vessel centerline.All identified vessels are highlighted using a virtual contrastagent and displayed simultaneously in a spherical curvedreformation view. In cases of over segmentation, the vessel tracescan be shortened by a click on each vessel end point. Intermediateanalysis results of the vessel computation steps can be displayedas well. We successfully validated the tool on 40 MRI scansdemonstrating accuracy and significant time savings over manualvessel tracing.
机译:我们提出了一种在人类心脏的MRI扫描中跟踪冠状血管的工具,以帮助筛查心脏病。通过在标准正交视图中显示的每个容器内部的一次单击即可识别容器。血管识别来自一系列计算步骤,包括对MRI图像的Hessian进行特征值分析,然后是基于水平集的血管中心线提取。所有识别出的血管均使用虚拟造影剂突出显示并同时显示在球面弧形变形视图中。在过度分割的情况下,单击每个血管终点可缩短血管轨迹。也可以显示血管计算步骤的中间分析结果。我们在40次MRI扫描中成功验证了该工具,证明了其准确性以及与手动血管追踪相比节省的大量时间。

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