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.