Abstract
Introduction: We present in this paper an automatic detection system of brain aneurysms in Digital Subtraction Angiography (DSA) images.
Methods: The approach proposed here relies on two main steps: A region-based segmentation using the Otsu method is first employed in order to extract the vascular structure. Then a combination of the Zernike moments and MSER detector is used to detect aneurysms.
Result: In our experiments, the evaluation results over 14 DSA images have given very satisfactory results.
Conclusion: The achieved sensitivity of the proposed cerebral aneurysm detection method was 100% with 0.78 false positive rate.
Keywords: Cerebral aneurysm, DSA, otsu method, zernike moments, MSER, automatic detection system.
Graphical Abstract
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