Cart Laboratory of Politecnico di Milano University<\/a><\/p>\n <\/p>\n
Radiation therapy is one of the two steps for common treatment of head and neck Hodgkin\/non\u00ad Hodgkin lymphoma. Unfortunately, in this scenario, clear and accurate localization of tissues to irradiate by radiation is not always easy and obvious, especially after chemotherapy treatment.
\nThis makes the contouring process very challenging and prone to mistakes, even for expert physicians. The purpose of our work is to support the radiotherapists during the definition of clinical target volume for radiotherapy of this kind of cancer.
\nWe propose to localize the gross target volume onto the simulation CT using pre chemotherapy [18F]FDG\u00adPET\/CT information and deformable image registration technique. The primitive disease extent brought on the simulation CT can be so used as starting point to easier manually define the whole volume to treat.
\nAs a result of the our tests the methodology proved to perform well, being able to identify the initial cancerous site also in very challenge clinical situations, as enormous difference in patient’s position between scans.<\/p>\n
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![\"lymphoma\"](\"https:\/\/i2.wp.com\/www.imagenglab.com\/newsite\/wp-content\/uploads\/2016\/03\/lymphoma.png?resize=640%2C284\")
<\/p>\n","protected":false},"excerpt":{"rendered":"
automatic contour delineation In collaboration with the Radiotherapy Division of the European Institute of Oncology (Milan) Cart Laboratory of Politecnico di Milano University Radiation therapy is one of the two steps for common treatment of head and neck Hodgkin\/non\u00ad Hodgkin lymphoma. Unfortunately, in this scenario, clear and accurate localization of tissues to irradiate by Read more about Radiotherapy of Lymphoma<\/span>[…]<\/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-1V","jetpack_likes_enabled":true,"jetpack-related-posts":[{"id":100,"url":"https:\/\/www.imagenglab.com\/newsite\/research\/mabs\/","url_meta":{"origin":119,"position":0},"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":331,"url":"https:\/\/www.imagenglab.com\/newsite\/mf_spadea\/","url_meta":{"origin":119,"position":1},"title":"Maria Francesca Spadea","date":"17 April 2016","format":false,"excerpt":"Contact: mfspadea at imagenglab.com Sketch\u00a0bio: Maria Francesca Spadea graduated in 2002 in Mechanical Engineer at University of Calabria and she received a PhD degree in Biomedical Engineer in 2006 from Politecnico di Milano University. Since 2007, she has been Assistant Professor at the Department of Experimental and Clinical Medicine of\u2026","rel":"","context":"Similar post","img":{"alt_text":"","src":"https:\/\/i1.wp.com\/www.imagenglab.com\/newsite\/wp-content\/uploads\/2016\/04\/Screen-Shot-2016-10-11-at-12.07.52.png?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":62,"url":"https:\/\/www.imagenglab.com\/newsite\/research\/","url_meta":{"origin":119,"position":2},"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":328,"url":"https:\/\/www.imagenglab.com\/newsite\/paolo_zaffino\/","url_meta":{"origin":119,"position":3},"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":[]},{"id":302,"url":"https:\/\/www.imagenglab.com\/newsite\/salvatore_scaramuzzino\/","url_meta":{"origin":119,"position":4},"title":"Salvatore Scaramuzzino","date":"16 April 2016","format":false,"excerpt":"download contact vCard \u00a0 Sketch\u00a0bio: As an engineer, Salvatore likes to work with numbers, since they give him confidence. But he is also attracted by images, numerical images (of course!), because of the expressive power and the density of information that an image can include. He thinks that medical imaging\u2026","rel":"","context":"Similar post","img":{"alt_text":"","src":"https:\/\/i2.wp.com\/www.imagenglab.com\/newsite\/wp-content\/uploads\/2016\/03\/18305918213_3f0c99f374_o-e1457692904280-293x300.jpg?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":184,"url":"https:\/\/www.imagenglab.com\/newsite\/pddca\/","url_meta":{"origin":119,"position":5},"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":[]}],"_links":{"self":[{"href":"https:\/\/www.imagenglab.com\/newsite\/wp-json\/wp\/v2\/pages\/119"}],"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=119"}],"version-history":[{"count":3,"href":"https:\/\/www.imagenglab.com\/newsite\/wp-json\/wp\/v2\/pages\/119\/revisions"}],"predecessor-version":[{"id":123,"href":"https:\/\/www.imagenglab.com\/newsite\/wp-json\/wp\/v2\/pages\/119\/revisions\/123"}],"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=119"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}