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Segmentation of the thrombus of giant intracranial aneurysms from CT angiography scans with lattice Boltzmann method

机译:格子Boltzmann方法从CT血管造影扫描中分离出颅内巨大动脉瘤的血栓

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摘要

Computed Tomography Angiography (CTA) plays an essential role in the diagnosis, treatment evaluation, and monitoring of cerebral aneurysms. Segmentation of CTA medical images of giant intracranial aneurysms (GIA) provides quantitative measurements of thrombus and aneurysms geometrical characteristics allowing 3D reconstruction. In fact, GIA demonstrated neuroradiological features and propensity of partial or total spontaneous intra-aneurysmal thrombosis generating a thrombus. Despite intensive researches on medical image segmentation, aneurysm (Lumen, Thrombus, and Parent Blood Vessels) segmentation remains as a difficult problem that has not been yet resolved. In this paper, we proposed a Lattice Boltzmann Geodesic Active Contour Method (LBGM) for aneurysm segmentation in CTA images in order to estimate both the volumes of the thrombus and the aneurysm. Although the noise in the CTA images is very strong and the edges of the thrombus are not so different than the surrounding tissues, the aneurysms are segmented effectively. Based on these results, a method using a dome-neck aspect ratio (AR) parameter for the evaluation of the Spontaneous Thrombosis (ST) phenomena demonstrates the promising potentiality of this LBGM for clinical applications.
机译:计算机断层扫描血管造影(CTA)在脑动脉瘤的诊断,治疗评估和监测中起着至关重要的作用。巨大颅内动脉瘤(GIA)的CTA医学图像分割可对血栓和动脉瘤的几何特征进行定量测量,从而可进行3D重建。实际上,GIA显示出神经放射学特征和部分或全部自发性动脉瘤内血栓形成的倾向,从而形成血栓。尽管对医学图像分割进行了深入研究,但动脉瘤(流明,血栓和亲代血管)分割仍然是一个尚未解决的难题。在本文中,我们提出了一种用于在CTA图像中进行动脉瘤分割的格子Boltzmann测地线主动轮廓法(LBGM),以估计血栓和动脉瘤的体积。尽管CTA图像中的噪声非常强,并且血栓边缘与周围组织没有太大差异,但动脉瘤却被有效地分割了。基于这些结果,使用圆顶颈长宽比(AR)参数评估自发性血栓形成(ST)现象的方法证明了该LBGM在临床应用中的潜力。

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