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Current Medical Imaging

Eiditor-in-Chief

ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

Research Article

Automated Computerized Method for the Detection of Unruptured Cerebral Aneurysms in DSA Images

Author(s): Ines Rahmany*, Sabrine Laajili and Nawres Khlifa

Volume 14 , Issue 5 , 2018

Page: [771 - 777] Pages: 7

DOI: 10.2174/1573405613666170502162130

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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.

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