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Method and System for Extracting Centerline Representation of Vascular Structures in Medical Images Via Optimal Paths in Computational Flow Fields

机译:通过计算流场中的最佳路径提取医学图像中血管结构中心线表示的方法和系统

摘要

A method and apparatus for extracting centerline representations of vascular structures in medical images is disclosed. A vessel orientation tensor for each of a plurality of voxels associated with the target vessel, such as a coronary artery, in a medical image, such as a coronary tomography angiography (CTA) image, using a trained vessel orientation tensor classifier. A flow field is estimated for the plurality of voxels associated with the target vessel in the medical image based on the vessel orientation tensor estimated for each of the plurality of voxels. A centerline of the target vessel is extracted based on the estimated flow field for the plurality of vessels associated with the target vessel in the medical image by detecting a path that carries maximum flow.
机译:公开了一种用于提取医学图像中的血管结构的中心线表示的方法和设备。使用训练有素的血管取向张量分类器,在医学图像(例如冠状动脉断层造影血管造影(CTA)图像)中,与目标血管(例如冠状动脉)关联的多个体素中的每个体素的血管取向张量。基于针对多个体素中的每个估计的血管取向张量,针对医学图像中与目标血管相关联的多个体素来估计流场。基于在医学图像中与目标血管相关联的多个血管的估计流场,通过检测携带最大流量的路径来提取目标血管的中心线。

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