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

[ Vol. 14 , Issue. 5 ]

Author(s):

Ines Rahmany*, Sabrine Laajili and Nawres Khlifa   Pages 771 - 777 ( 7 )

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.

Affiliation:

Laboratoire de Biophysique et Technologies Medicales, Institut Superieur des Technologies Medicales de Tunis, Universite de Tunis El Manar, 1006 Tunis, Laboratoire de Biophysique et Technologies Medicales, Institut Superieur des Technologies Medicales de Tunis, Universite de Tunis El Manar, 1006 Tunis, Laboratoire de Biophysique et Technologies Medicales, Institut Superieur des Technologies Medicales de Tunis, Universite de Tunis El Manar, 1006 Tunis

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