Skeletonization method for vessel delineation of arteriovenous malformation

被引：18

作者：

Babin, D. ^{[1
]}

Pizurica, A. ^{[1
]}

Velicki, L. ^{[2
]}

Matic, V. ^{[3
]}

Galic, I. ^{[4
]}

Leventic, H. ^{[4
]}

Zlokolica, V. ^{[5
]}

Philips, W. ^{[1
]}

机构：

[1] Univ Ghent, Fac Engn & Architecture, IMEC, TELIN IPI, Ghent, Belgium

[2] Univ Novi Sad, Fac Med, Novi Sad, Serbia

[3] Singidunum Univ, Fac Tech Sci, Belgrade, Serbia

[4] JJ Strossmayer Univ Osijek, Fac Elect Engn, Osijek, Croatia

[5] Univ Novi Sad, Fac Tech Sci, Novi Sad, Serbia

来源：

COMPUTERS IN BIOLOGY AND MEDICINE | 2018年 / 93卷

关键词：

Image skeletonization; Image segmentation; Arteriovenous malformation delineation; 3D rotational angiography; Medical image analysis; SEGMENTATION; 3D; VISUALIZATION; PLATFORM; MODELS;

D O I：

10.1016/j.compbiomed.2017.12.011

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Cerebral arteriovenous malformation (AVM) presents a great health threat due to its high probability of rupture that can cause severe brain damage. Image segmentation alone is not sufficient to support AVM embolization procedure. In order to successfully navigate the catheter and perform embolization, the segmented blood vessels need to be classified into feeding arteries, draining veins and the AVM nidus. For this reason we address here the AVM localization and vessel decomposition problem. We propose in this paper a novel AVM localization and vessel delineation method using ordered thinning-based skeletonization. The main focus of vessel delineation is the delineation of draining veins since it is essential for the embolization procedure. The main contribution is a graph-based method for exact extraction of draining veins which, in combination with our earlier work on AVM detection, allows the AVM decomposition into veins, arteries and the nidus (with an emphasis on the draining veins). We validate the proposed approach on blood vessel phantoms representing the veins and the AVM structure, as well as on cerebral 3D digital rotational angiography (3DRA) images before and after embolization, paired with digital subtraction angiography (DSA) images. Results on AVM delineation show high correspondence to the ground truth structures and indicate potentials for use in surgical planning.

引用

页码：93 / 105

页数：13

共 50 条

[1]

Abuja N., 1997, IEEE T, V19, P169

[2]

[Anonymous], 2007, P IEEE INT C COMP VI

[3]

Antiga Luca., 2006, VMTK VASCULAR MODELI

[4]

Aylward S., 2012, TUBETK SEGMENTATION

[5]

Aylward SR, 2005, LECT NOTES COMPUT SC, V3749, P59

[6] Generalized pixel profiling and comparative segmentation with application to arteriovenous malformation segmentation [J].

Babin, D. ;

Pizurica, A. ;

Bellens, R. ;

De Bock, J. ;

Shang, Y. ;

Goossens, B. ;

Vansteenkiste, E. ;

Philips, W. .

MEDICAL IMAGE ANALYSIS, 2012, 16 (05) :991-1002

[7]

Babin D., 2014, IEEE INT S BIOM IM I

[8]

Babin D., 2008, ANN WORKSH SEM ADV F, P295

[9]

Babin D, 2014, P ELMAR 2014, P1

[10] Brain blood vessel segmentation using line-shaped profiles [J].

Babin, Danilo ;

Pizurica, Aleksandra ;

De Vylder, Jonas ;

Vansteenkiste, Ewout ;

Philips, Wilfried .

PHYSICS IN MEDICINE AND BIOLOGY, 2013, 58 (22) :8041-8061

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