{"id":104,"date":"2016-03-14T11:12:40","date_gmt":"2016-03-14T10:12:40","guid":{"rendered":"http:\/\/www.imagenglab.com\/newsite\/?page_id=104"},"modified":"2016-05-21T21:52:23","modified_gmt":"2016-05-21T19:52:23","slug":"white-matter-brain-segmentation","status":"publish","type":"page","link":"https:\/\/www.imagenglab.com\/newsite\/research\/white-matter-brain-segmentation\/","title":{"rendered":"White matter brain segmentation"},"content":{"rendered":"<p>In collaboration with<\/p>\n<p>CNR (Catanzaro)<\/p>\n<p>White matter fibers are anatomical structures made by a bundle of thousand of axons.<br \/>\nThey represent the \u201ccables\u201d that connect the different areas of the brain and so an accurate identification of these important structures is very important for diagnosis, treatment and to improve our knowledge about brain.<br \/>\nIn the last years several algorithms have been proposed in order to segment white matter fibers but a lot of open points remain unsolved.<br \/>\nWe are developing a new methodology that aim to improve the current state of the art.<br \/>\nUsing our algorithm is it possible to segment those bundles in a fast and accurate manner. Our segmentation is fully automatic, tridimensional, defined on T1 space and the process is extremely fast (a few minutes) if compared to other approaches.<\/p>\n<p><img data-attachment-id=\"114\" data-permalink=\"https:\/\/www.imagenglab.com\/newsite\/research\/white-matter-brain-segmentation\/wm_fibers\/\" data-orig-file=\"https:\/\/i1.wp.com\/www.imagenglab.com\/newsite\/wp-content\/uploads\/2016\/03\/WM_fibers.png?fit=819%2C410&amp;ssl=1\" data-orig-size=\"819,410\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"WM_fibers\" data-image-description=\"\" data-medium-file=\"https:\/\/i1.wp.com\/www.imagenglab.com\/newsite\/wp-content\/uploads\/2016\/03\/WM_fibers.png?fit=300%2C150&amp;ssl=1\" data-large-file=\"https:\/\/i1.wp.com\/www.imagenglab.com\/newsite\/wp-content\/uploads\/2016\/03\/WM_fibers.png?fit=640%2C320&amp;ssl=1\" decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-114 size-full\" src=\"https:\/\/i1.wp.com\/www.imagenglab.com\/newsite\/wp-content\/uploads\/2016\/03\/WM_fibers.png?resize=640%2C320\" alt=\"WM_fibers\" width=\"640\" height=\"320\" srcset=\"https:\/\/i1.wp.com\/www.imagenglab.com\/newsite\/wp-content\/uploads\/2016\/03\/WM_fibers.png?w=819&amp;ssl=1 819w, https:\/\/i1.wp.com\/www.imagenglab.com\/newsite\/wp-content\/uploads\/2016\/03\/WM_fibers.png?resize=300%2C150&amp;ssl=1 300w, https:\/\/i1.wp.com\/www.imagenglab.com\/newsite\/wp-content\/uploads\/2016\/03\/WM_fibers.png?resize=768%2C384&amp;ssl=1 768w, https:\/\/i1.wp.com\/www.imagenglab.com\/newsite\/wp-content\/uploads\/2016\/03\/WM_fibers.png?resize=600%2C300&amp;ssl=1 600w, https:\/\/i1.wp.com\/www.imagenglab.com\/newsite\/wp-content\/uploads\/2016\/03\/WM_fibers.png?resize=400%2C200&amp;ssl=1 400w\" sizes=\"(max-width: 640px) 100vw, 640px\" data-recalc-dims=\"1\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In collaboration with CNR (Catanzaro) White matter fibers are anatomical structures made by a bundle of thousand of axons. They represent the \u201ccables\u201d that connect the different areas of the brain and so an accurate identification of these important structures is very important for diagnosis, treatment and to improve our knowledge about brain. In the <a href=\"https:\/\/www.imagenglab.com\/newsite\/research\/white-matter-brain-segmentation\/\" rel=\"nofollow\"><span class=\"sr-only\">Read more about White matter brain segmentation<\/span>[&#8230;]<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":62,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"spay_email":""},"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/P9htfR-1G","jetpack_likes_enabled":true,"jetpack-related-posts":[{"id":62,"url":"https:\/\/www.imagenglab.com\/newsite\/research\/","url_meta":{"origin":104,"position":0},"title":"Research","date":"11 March 2016","format":false,"excerpt":"Every member of Imagenglab\u00a0have an own\u00a0research activity, here presented only for\u00a0illustration\u00a0purposes. Our on-going research projects include: 1)Fractal Analysis for Fluoroscopy 2)White Matter Brain Segmentation 3)Speckle Tracking in ultrasound\u00a0 4)Radiotherapy of Lynphoma\u00a0 5)Multi Atlas Based Segmentation 6) PDDCA \u00a0","rel":"","context":"Similar post","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":100,"url":"https:\/\/www.imagenglab.com\/newsite\/research\/mabs\/","url_meta":{"origin":104,"position":1},"title":"MABS","date":"14 March 2016","format":false,"excerpt":"Multi Atlas Based Segmentation In collaboration with Dr. Gregory C. Sharp, Radiation Oncology Department, Massachusetts General Hospital - Harvard Medical School, Boston, USA. Dr. Karl Fritscher,\u00a0Department for Biomedical Image Analysis, UMIT, Austria. Multi Atlas Based Segmentation (MABS) is a methodology for automatic image segmentation that\u00a0is proving to be able to\u2026","rel":"","context":"Similar post","img":{"alt_text":"MABS2","src":"https:\/\/i1.wp.com\/www.imagenglab.com\/newsite\/wp-content\/uploads\/2016\/03\/MABS2.png?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":184,"url":"https:\/\/www.imagenglab.com\/newsite\/pddca\/","url_meta":{"origin":104,"position":2},"title":"PDDCA","date":"15 March 2016","format":false,"excerpt":"PDDCA A Public Domain Database for Computational Anatomy version 1.4.1 This database is provided and maintained by Dr. Gregory C Sharp (Harvard Medical School - MGH, Boston) and his group. The data here provided have been used for the \"Head and Neck Auto Segmentation MICCAI Challenge (2015)\". To cite the\u2026","rel":"","context":"Similar post","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":128,"url":"https:\/\/www.imagenglab.com\/newsite\/research\/fractal-analysis-for-angiography\/","url_meta":{"origin":104,"position":3},"title":"Fractal analysis for angiography","date":"14 March 2016","format":false,"excerpt":"In collaboration with Cardiology Unit of Mater Domini General Hospital (Catanzaro) as a part of Cardiotech project (PON-POR) Angiography is wide-used for assessment of peripheal vascular diseases, such as occlusions and neo-angiogenesis. We are looking for new biomarkers capable to give a quantitative information about states of this kind of\u2026","rel":"","context":"Similar post","img":{"alt_text":"","src":"https:\/\/i1.wp.com\/www.imagenglab.com\/newsite\/wp-content\/uploads\/2016\/03\/stitching.gif?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":481,"url":"https:\/\/www.imagenglab.com\/newsite\/3dprinting\/","url_meta":{"origin":104,"position":4},"title":"3D Printing for Medical Applications","date":"2 June 2016","format":false,"excerpt":"We proudly provide different services for 3D printing for\u00a0medical applications \u00a0 automatic segmentation + 3D modeling + slicing + direct 3d printing We also provide state-of-the-art complete 3D printing platforms and relative maintenance thanks to our partnership with IRA3D, an italian leader in 3D technology development \u00a0 \u00a0 \u00a0 \u00a0\u2026","rel":"","context":"Similar post","img":{"alt_text":"","src":"https:\/\/i2.wp.com\/www.imagenglab.com\/newsite\/wp-content\/uploads\/2016\/06\/Poetry-Infinity-Office-web-300x200.jpg?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":328,"url":"https:\/\/www.imagenglab.com\/newsite\/paolo_zaffino\/","url_meta":{"origin":104,"position":5},"title":"Paolo Zaffino","date":"17 April 2016","format":false,"excerpt":"Contact: e-mail: p.zaffino at imagenglab.com Paolo received his master degree cum laude in Biomedical Engineer from Magna Graecia University of Catanzaro (Italy) in 2011. After that, in the same University, he got a PhD in Bioengineering and, in 2015, he become a PostDoc and contractor Professor. He was also a\u2026","rel":"","context":"Similar post","img":{"alt_text":"","src":"https:\/\/i1.wp.com\/www.imagenglab.com\/newsite\/wp-content\/uploads\/2016\/03\/Paolo_check-e1457046740751-290x300.png?resize=350%2C200","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/www.imagenglab.com\/newsite\/wp-json\/wp\/v2\/pages\/104"}],"collection":[{"href":"https:\/\/www.imagenglab.com\/newsite\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.imagenglab.com\/newsite\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.imagenglab.com\/newsite\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.imagenglab.com\/newsite\/wp-json\/wp\/v2\/comments?post=104"}],"version-history":[{"count":2,"href":"https:\/\/www.imagenglab.com\/newsite\/wp-json\/wp\/v2\/pages\/104\/revisions"}],"predecessor-version":[{"id":115,"href":"https:\/\/www.imagenglab.com\/newsite\/wp-json\/wp\/v2\/pages\/104\/revisions\/115"}],"up":[{"embeddable":true,"href":"https:\/\/www.imagenglab.com\/newsite\/wp-json\/wp\/v2\/pages\/62"}],"wp:attachment":[{"href":"https:\/\/www.imagenglab.com\/newsite\/wp-json\/wp\/v2\/media?parent=104"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}