The Circle of Willis is in the junction of two carotid arteries and two vertebral arteries that supply the brain with nutrition. Junctions where these arteries come together may develop weak spots that can balloon out and fill with blood, creating aneurysms. These sac-like areas may leak or rupture, spilling blood into surrounding tissues which may cause artery spasm leading to potential stroke or even death. Clipping and coiling are two treatment options preferred by neurosurgeon which require proper detection of aneurysm. Medical practitioners are therefore emphasizing on the prior detection of cerebral aneurysm (CA) before rupture occurs leading to subarachnoid haemorrhage (SAH). This paper presents a novel method by application of Modified Hough Circle Transform & Peak Trekking (MHCT-PT) technique on the image extracted from Digital subtraction angiography (DSA). Experimental results have firmly substantiated that the proposed method is highly efficient in properly detecting the location, size and type of aneurysm.
Inglés
3D Parameter Space; Auto-Thresholding of CA images using Two Spin Operator; Cerebral Aneurysm (CA); Digital subtraction angiography (DSA); Medical Image Analysis; Midpoint Circle Algorithm; Modified Hough Circle Transform (MHCT); Modified Hough Circle Transform & Peak Trekking (MHCT-PT) technique; Hough Hierarchy; Peak Trekking
ELCVIA. Electronic letters on computer vision and image analysis ; Vol. 12, Núm. 1 (2013), p. 57-84
open access
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