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Segmentation of the thrombus of giant intracranial aneurysms from CT angiography scans with lattice Boltzmann method
被引:48
作者:
Chen, Yu
[1
,2
]
Navarro, Laurent
[3
]
Wang, Yan
[1
]
Courbebaisse, Guy
[1
]
机构:
[1] Univ Lyon, INSERM U1044, UCB Lyon 1, INSA Lyon,CREATIS,CNRS UMR 5220, Lyon, France
[2] Jiangsu Univ, Zhenjiang 2012013, Jiangsu, Peoples R China
[3] Ecole Natl Super Mines, CIS EMSE, LGF, CNRS UMR 5307, F-42023 St Etienne, France
关键词:
Giant intracranial aneurysm;
Computed tomography angiography;
Lattice Boltzmann method;
Geodesic active contour;
Anisotropic diffusion;
LEVEL SET EVOLUTION;
ANISOTROPIC DIFFUSION;
IMAGE SEGMENTATION;
MODEL;
ALGORITHM;
D O I:
10.1016/j.media.2013.08.003
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
Computed Tomography Angiography (CIA) plays an essential role in the diagnosis, treatment evaluation, and monitoring of cerebral aneurysms. Segmentation of CIA 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 CIA images in order to estimate both the volumes of the thrombus and the aneurysm. Although the noise in the CIA 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. (C) 2013 Published by Elsevier B.V.
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页码:1 / 8
页数:8
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