HEAD: The Human Encephalon Automatic Delimiter
In this paper we present HEAD, the Human Encephalon Automatic Delimiter, a new and efficient method for skull-stripping in T1-weighted MRI that combines an unique histogram analysis with binary mathematical morphology. In our experiments we use real images with highly variable noise ratios and inten...
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| creator | Balan, A.G.R. Traina, A.J.M. Ribeiro, M.X. Marques, P.M.A. Traina, C. |
| description | In this paper we present HEAD, the Human Encephalon Automatic Delimiter, a new and efficient method for skull-stripping in T1-weighted MRI that combines an unique histogram analysis with binary mathematical morphology. In our experiments we use real images with highly variable noise ratios and intensity non-uniformity. We evaluate our results based on manually generated true masks and the well known Jaccard metric, achieving accuracy close to 99%. We compare our method with the popular Brain Extractor Surface algorithm (BSE), which in the same experiments achieved less than 95% of accuracy. |
| doi_str_mv | 10.1109/CBMS.2007.54 |
| format | Conference Proceeding |
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We compare our method with the popular Brain Extractor Surface algorithm (BSE), which in the same experiments achieved less than 95% of accuracy.</description><subject>Alzheimer's disease</subject><subject>Biomedical imaging</subject><subject>Head</subject><subject>Histograms</subject><subject>Humans</subject><subject>Image edge detection</subject><subject>Lesions</subject><subject>Magnetic resonance imaging</subject><subject>Signal to noise ratio</subject><subject>Surface morphology</subject><issn>1063-7125</issn><isbn>9780769529059</isbn><isbn>0769529054</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjsFOg0AUADdRE5vKzZsXfgDct7tvl_WGFMWkxoP13DzoI10DtAF68O8l0bnMbTJC3INMAaR_LJ7fP1MlpUvRXInIu0w661F5if5arEBanThQeCuiafqWCwYhQ1yJtCrzzVO8O3JcXXoa4nJo-Hyk7jTE-WU-9TSHJt5wF_ow83gnblrqJo7-vRZfL-WuqJLtx-tbkW-TAA7nxNaerDfatb7VQJ60o4NxpMlZtJmhRjOwrbk1QHoZPSw3Lfqaa3CUkV6Lh79uYOb9eQw9jT97o6yyBvUv0ehBfw</recordid><startdate>200706</startdate><enddate>200706</enddate><creator>Balan, A.G.R.</creator><creator>Traina, A.J.M.</creator><creator>Ribeiro, M.X.</creator><creator>Marques, P.M.A.</creator><creator>Traina, C.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200706</creationdate><title>HEAD: The Human Encephalon Automatic Delimiter</title><author>Balan, A.G.R. ; Traina, A.J.M. ; Ribeiro, M.X. ; Marques, P.M.A. ; Traina, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-6b9a69437f9f31a9a37ad47a3a765684ac3e1e6bef41a3952d185f59beb17a8a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Alzheimer's disease</topic><topic>Biomedical imaging</topic><topic>Head</topic><topic>Histograms</topic><topic>Humans</topic><topic>Image edge detection</topic><topic>Lesions</topic><topic>Magnetic resonance imaging</topic><topic>Signal to noise ratio</topic><topic>Surface morphology</topic><toplevel>online_resources</toplevel><creatorcontrib>Balan, A.G.R.</creatorcontrib><creatorcontrib>Traina, A.J.M.</creatorcontrib><creatorcontrib>Ribeiro, M.X.</creatorcontrib><creatorcontrib>Marques, P.M.A.</creatorcontrib><creatorcontrib>Traina, C.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Balan, A.G.R.</au><au>Traina, A.J.M.</au><au>Ribeiro, M.X.</au><au>Marques, P.M.A.</au><au>Traina, C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>HEAD: The Human Encephalon Automatic Delimiter</atitle><btitle>Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07)</btitle><stitle>CBMS</stitle><date>2007-06</date><risdate>2007</risdate><spage>171</spage><epage>176</epage><pages>171-176</pages><issn>1063-7125</issn><isbn>9780769529059</isbn><isbn>0769529054</isbn><abstract>In this paper we present HEAD, the Human Encephalon Automatic Delimiter, a new and efficient method for skull-stripping in T1-weighted MRI that combines an unique histogram analysis with binary mathematical morphology. 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| identifier | ISSN: 1063-7125 |
| ispartof | Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), 2007, p.171-176 |
| issn | 1063-7125 |
| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Alzheimer's disease Biomedical imaging Head Histograms Humans Image edge detection Lesions Magnetic resonance imaging Signal to noise ratio Surface morphology |
| title | HEAD: The Human Encephalon Automatic Delimiter |
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