Peak Trekking of Hierarchy Mountain for the Detection of Cerebral Aneurysm using Modified Hough Circle Transform
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,...
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creator | Mitra, Jubin Chandra, Abhijit Halder, Tanmay |
description | 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. |
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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.</description><language>eng</language><subject>3D Parameter Space ; Auto-Thresholding of CA images using Two Spin Operator ; Cerebral Aneurysm (CA) ; Digital subtraction angiography (DSA) ; Hough Hierarchy ; Medical Image Analysis ; Midpoint Circle Algorithm ; Modified Hough Circle Transform & Peak Trekking (MHCT-PT) technique ; Modified Hough Circle Transform (MHCT) ; Peak Trekking</subject><creationdate>2013</creationdate><rights>open access Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. 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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.</description><subject>3D Parameter Space</subject><subject>Auto-Thresholding of CA images using Two Spin Operator</subject><subject>Cerebral Aneurysm (CA)</subject><subject>Digital subtraction angiography (DSA)</subject><subject>Hough Hierarchy</subject><subject>Medical Image Analysis</subject><subject>Midpoint Circle Algorithm</subject><subject>Modified Hough Circle Transform & Peak Trekking (MHCT-PT) technique</subject><subject>Modified Hough Circle Transform (MHCT)</subject><subject>Peak Trekking</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>XX2</sourceid><recordid>eNqdjbEKwkAQRNNYiPoP-wOCiUpqiUqagEX6sK57yZLkTvbuivy9CQj2FsMwMPNmnbwfjD3Uyn0vtgVnoBRWVOomqFy0AcWCcQqhY7hyYAri7NIrWPmpOMDFctTJjxD9gqjcS4zwC0oX2w4KURp4fkDrZ864TVYGB8-7r2-S9H6ri3JPPlKjTKyEoXEov7AoO-RZc8qzPD0f_9l8AI-LT74</recordid><startdate>2013</startdate><enddate>2013</enddate><creator>Mitra, Jubin</creator><creator>Chandra, Abhijit</creator><creator>Halder, Tanmay</creator><scope>XX2</scope></search><sort><creationdate>2013</creationdate><title>Peak Trekking of Hierarchy Mountain for the Detection of Cerebral Aneurysm using Modified Hough Circle Transform</title><author>Mitra, Jubin ; Chandra, Abhijit ; Halder, Tanmay</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-csuc_recercat_oai_recercat_cat_2072_4727153</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>3D Parameter Space</topic><topic>Auto-Thresholding of CA images using Two Spin Operator</topic><topic>Cerebral Aneurysm (CA)</topic><topic>Digital subtraction angiography (DSA)</topic><topic>Hough Hierarchy</topic><topic>Medical Image Analysis</topic><topic>Midpoint Circle Algorithm</topic><topic>Modified Hough Circle Transform & Peak Trekking (MHCT-PT) technique</topic><topic>Modified Hough Circle Transform (MHCT)</topic><topic>Peak Trekking</topic><toplevel>online_resources</toplevel><creatorcontrib>Mitra, Jubin</creatorcontrib><creatorcontrib>Chandra, Abhijit</creatorcontrib><creatorcontrib>Halder, Tanmay</creatorcontrib><collection>Recercat</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Mitra, Jubin</au><au>Chandra, Abhijit</au><au>Halder, Tanmay</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Peak Trekking of Hierarchy Mountain for the Detection of Cerebral Aneurysm using Modified Hough Circle Transform</atitle><date>2013</date><risdate>2013</risdate><abstract>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.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | 3D Parameter Space Auto-Thresholding of CA images using Two Spin Operator Cerebral Aneurysm (CA) Digital subtraction angiography (DSA) Hough Hierarchy Medical Image Analysis Midpoint Circle Algorithm Modified Hough Circle Transform & Peak Trekking (MHCT-PT) technique Modified Hough Circle Transform (MHCT) Peak Trekking |
title | Peak Trekking of Hierarchy Mountain for the Detection of Cerebral Aneurysm using Modified Hough Circle Transform |
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