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首页> 外文会议>Conference on image processing >Closing of Interrupted Vascular Segmentations: An Automatic Approach Based on Shortest Paths and Level Sets
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Closing of Interrupted Vascular Segmentations: An Automatic Approach Based on Shortest Paths and Level Sets

机译：关闭中断血管分割：基于最短路径和级别集的自动方法

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Exact segmentations of the cerebrovascular system are the basis for several medical applications, like preoperation planning, postoperative monitoring and medical research. Several automatic methods for the extraction of the vascular system have been proposed. These automatic approaches suffer from several problems. One of the major problems are interruptions in the vascular segmentation, especially in case of small vessels represented by low intensities. These breaks are problematic for the outcome of several applications e.g. FEM-simulations and quantitative vessel analysis. In this paper we propose an automatic post-processing method to connect broken vessel segmentations. The approach proposed consists of four steps. Based on an existing vessel segmentation the 3D-skeleton is computed first and used to detect the dead ends of the segmentation. In a following step possible connections between these dead ends are computed using a graph based approach based on the vesselness parameter image. After a consistency check is performed, the detected paths are used to obtain the final segmentation using a level set approach. The method proposed was validated using a synthetic dataset as well as two clinical datasets. The evaluation of the results yielded by the method proposed based on two Time-of-Flight MRA datasets showed that in mean 45 connections between dead ends per dataset were found. A quantitative comparison with semi-automatic segmentations by medical experts using the Dice coefficient revealed that a mean improvement of 0.0229 per dataset was achieved. In summary the approach presented can considerably improve the accuracy of vascular segmentations needed for following analysis steps.
机译：脑血管系统的确切分割是几种医学应用的基础，如术前计划，术后监测和医学研究。提出了几种用于提取血管系统的自动方法。这些自动方法遭受了几个问题。其中一个主要问题是血管分割中的中断，特别是在低强度代表的小血管的情况下。对于几种应用的结果，这些断裂是有问题的。 FEM模拟和定量血管分析。在本文中，我们提出了一种自动后处理方法来连接损坏的血管分割。提出的方法由四个步骤组成。基于现有的血管分割，首先计算3D骨架并用于检测分割的死角。在以下基于血管参数图像的基于曲线图的方法计算这些死端之间的可能连接。在执行一致性检查之后，使用级别设置方法来使用检测到的路径来获得最终分割。所提出的方法使用合成数据集以及两个临床数据集进行验证。基于两个飞行时间的MRA数据集提出的方法产生的结果的评价显示，在每个数据集中发现死胡同之间的平均连接。使用骰子系数的医学专家对半自动分割的定量比较显示，实现了每位数据集的平均改善0.0229。总之，所提出的方法可以大大提高以下分析步骤所需的血管分割的准确性。

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