dc.contributor.author | Loizou, Christos P. | en |
dc.contributor.author | Pattichis, Constantinos S. | en |
dc.contributor.author | Seimenis, Ioannis | en |
dc.contributor.author | Pantzaris, Marios C. | en |
dc.creator | Loizou, Christos P. | en |
dc.creator | Pattichis, Constantinos S. | en |
dc.creator | Seimenis, Ioannis | en |
dc.creator | Pantzaris, Marios C. | en |
dc.date.accessioned | 2019-11-13T10:41:06Z | |
dc.date.available | 2019-11-13T10:41:06Z | |
dc.date.issued | 2009 | |
dc.identifier.isbn | 978-1-4244-5379-5 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/54450 | |
dc.description.abstract | In this study the value of magnetic resonance image (MRI) shape and texture analysis was assessed in multiple sclerosis (MS) subjects, both in differentiating between normal or normal appearing and abnormal tissue and in assessing disease onset. Shape and texture analysis was carried out in normal brain white matter and lesions detected in transverse sections of T2-weighted magnetic resonance (MR) images acquired from 22 symptomatic untreated subjects. All detected brain lesions were manually segmented by an experienced MS neurologist and confirmed by a radiologist. The results showed that there was no significant difference for most of the shape features and for all of the texture features between MS lesions at 0 and 6-12 months. For some texture features there was significant difference between normal or normal appearing tissue and MS lesions at 0 and 6-12 months. Further research with more subjects is required for computing shape and texture features that may provide information for better and earlier differentiation between normal tissue and MS lesions. ©2009 IEEE. | en |
dc.source | Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009 | en |
dc.source | 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-77949595545&doi=10.1109%2fITAB.2009.5394340&partnerID=40&md5=8320f766f8c1a64d4641f4107b977a8d | |
dc.subject | Information technology | en |
dc.subject | Multiple sclerosis | en |
dc.subject | Magnetic resonance imaging | en |
dc.subject | MRI | en |
dc.subject | Magnetic resonance | en |
dc.subject | Textures | en |
dc.subject | Texture features | en |
dc.subject | Texture analysis | en |
dc.subject | White matter | en |
dc.subject | White matter lesions | en |
dc.subject | Normal tissue | en |
dc.subject | Transverse section | en |
dc.subject | Brain lesions | en |
dc.subject | Quantitative analysis | en |
dc.subject | Shape features | en |
dc.subject | Abnormal tissues | en |
dc.subject | Magnetic resonance images | en |
dc.title | Quantitative analysis of brain white matter lesions in multiple sclerosis subjects | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1109/ITAB.2009.5394340 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Sponsors: IBM Italia S.p.A. | en |
dc.description.notes | Datamed SA, Healthcare Integrator | en |
dc.description.notes | LinkSCEEM: Link. Sci. Comput. Eur. East. Mediterr. | en |
dc.description.notes | AGIOS THERISSOS M.R.1. Medical Diagnostic Center | en |
dc.description.notes | University of Cyprus | en |
dc.description.notes | Conference code: 79527 | en |
dc.description.notes | Cited By :10</p> | en |
dc.contributor.orcid | Pattichis, Constantinos S. [0000-0003-1271-8151] | |
dc.contributor.orcid | Loizou, Christos P. [0000-0003-1247-8573] | |
dc.contributor.orcid | Pantzaris, Marios C. [0000-0003-2937-384X] | |
dc.gnosis.orcid | 0000-0003-1271-8151 | |
dc.gnosis.orcid | 0000-0003-1247-8573 | |
dc.gnosis.orcid | 0000-0003-2937-384X | |