arXiv:2507.03655eess.IVcs.CV2025-07

用补洞表面分离主动脉夹层的真假腔,辅助医生诊断。

Segmentation of separated Lumens in 3D CTA images of Aortic Dissection

  • 用数字拓扑算法生成补洞表面,切断真假腔连接
  • 首次实现3D血管腔体精确分离,分割成功率100%
  • 适合心血管影像分析与手术规划研究人员

主动脉夹层是危及生命的急症,表现为真腔(正常血流通道)与假腔(血液渗入中膜形成)由内膜片分隔。以往研究通过数学形态学运算可提取内膜片,并利用Aktouf等人提出的数字拓扑闭合算法,生成填补内膜破口的三维薄面,这些面可量化或可视化破口。本文首次将此类补洞面作为图像处理算子,用于切断相连血管腔体的连接,实现真腔与假腔的精准分离。该方法构建了首个主动脉夹层腔体分布图谱,显著提升临床可视化辅助能力。分离结果还可优化现有研究中的配准、分割与血流动力学分析。

原文摘要 · Abstract (English)

Aortic dissection is a serious pathology and requires an emergency management. It is characterized by one or more tears of the intimal wall of the normal blood duct of the aorta (true lumen); the blood under pressure then creates a second blood lumen (false lumen) in the media tissue. The two lumens are separated by an intimal wall, called flap. From the segmentation of connected lumens (more precisely, blood inside lumens) of an aortic dissection 3D Computed Tomography Angiography (CTA) image, our previous studies allow us to retrieve the intimal flap by using Mathematical Morphology operators, and characterize intimal tears by 3d thin surfaces that fill them, these surfaces are obtained by operating the Aktouf et al. closing algorithm proposed in the framework of Digital Topology. Indeed, intimal tears are 3D holes in the intimal flap; although it is impossible to directly segment such non-concrete data, it is nevertheless possible to "materialize" them with these 3D filling surfaces that may be quantified or make easier the visualization of these holes. In this paper, we use these surfaces that fill tears to cut connections between lumens in order to separate them. This is the first time that surfaces filling tears are used as an image processing operator (to disconnect several parts of a 3D object). This lumen separation allows us to provide one of the first cartographies of an aortic dissection, that may better visually assist physicians during their diagnosis. Our method is able to disconnect lumens, that may also lead to enhance several current investigations (registration, segmentation, hemodynamics).

主动脉夹层3D分割图像处理医学影像

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