Abdominal Aortic ANEURYSM Identification Using HLSFMM Segmentation and SVM Classifier
S. Anandh1, R. Vasuki2, Raid Al Baradie3
1S. Anandh*, Department of Biomedical Engineering, Bharath University, Chennai (Tamil nadu) Inida.
2Dr. R. Vasuki, Department of Biomedical Engineering, Bharath University, Chennai (Tamil nadu) Inida.
3Dr. Raid Al Baradie, Department of Medical Lab, Majmaah University, Kingdom of Saudi Arabia.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 2479-2486 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B4011129219/2019©BEIESP | DOI: 10.35940/ijeat.B4011.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The localized inflammation of the abdominal aorta region causes Abdominal Aortic Aneurysm (AAA). The width of the lumen enlarges its size 3 cm or more than half of its diameter, which is larger than the typical diameter. There is no symptom until it becomes ruptured, which may often results in death. In this paper, a hybrid level set technique is presented to detect and segment the image taken from MRI of abdominal aortic aneurysm region. In traditional level set technique re-initialization problems are high. This problem is completely eradicated in the Hybrid Level Set Fast Marching method (HLSFMM). Median filter diminishes the noise in the image efficiently when compared to standard SVM classifier which uses Gaussian RBF kernel operator as a diameter measure by incorporating spatial data. Finally HLSFMM is utilized to extract source boundary in pre segmentation stage. The precision and the orderliness of the proposed method are extracted for different noisy MRI AAA images. Compared this result with other methods, the proposed system is much proficient for images with noises and accurate segmentations results are attained.
Keywords: Abdominal Aortic Aneurysm, Median filter, HLSFMM segmentation, SVM Classifier.