Hybrid deformable model for aneurysm segmentation

Authors:
Stefanie Demirci;Guy Lejeune;Nassir Navab
Affiliations:
Computer Aided Medical Procedures, Technische Universität München;Computer Aided Medical Procedures, Technische Universität München;Computer Aided Medical Procedures, Technische Universität München
Venue:
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Year:
2009

Citing 1
Cited 6

The NURBS book

The NURBS book

An iterative model-constrained graph-cut algorithm for abdominal aortic aneurysm thrombus segmentation

ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
A hybrid segmentation of abdominal CT images

HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Applications of deformable models for in-dopth analysis and feature extraction from medical images--A review

Pattern Recognition and Image Analysis
Active Learning with Bootstrapped Dendritic Classifier applied to medical image segmentation

Pattern Recognition Letters
Random forest active learning for AAA thrombus segmentation in computed tomography angiography images

Neurocomputing
Applications of Hybrid Extreme Rotation Forests for image segmentation

International Journal of Hybrid Intelligent Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Automatic extraction of aortic aneurysm thrombus is a nontrivial challenge for existing segmentation algorithms. Due to similar intensity, the boundary to surrounding tissue is characterized by a small gradient. On the other hand, the aneurysm contains calcification spots that introduce wrong gradients. Therefore, purely intensity- or gradient-based methods fail to give optimal results. In this paper, we present a hybrid deformable model approach that integrates local and global image information and combines it with shape constraints. By the use of NURBS surfaces and distance functions, segmentation leakage into adjacent structures is prevented. The results of several experiments were evaluated by standard measures and expert inspection.