Peak Trekking of Hierarchy Mountain for the Detection of Cerebral Aneurysm using Modified Hough Circle Transform

• Mitra, Jubin ^[1] ; Chandra, Abhijit ^[1] ; Halder, Tanmay ^[1]
  1. [1] Bengal Engineering and Science University, Shibpur
• Localización: ELCVIA. Electronic letters on computer vision and image analysis, ISSN-e 1577-5097, Vol. 12, Nº. 1, 2013 (Ejemplar dedicado a: December 2013), págs. 57-84
• Idioma: inglés
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• Resumen

  • The Circle of Willis is 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 an efficient detection technique rooted in Modified Hough Circle Transform (MHCT) on the image extracted from Digital Subtraction Angiogram (DSA). Experimental results have firmly substantiated that the proposed method is highly efficient in properly detecting the location, size and type of aneurysm.