Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/23611
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Loizou, Christos P. | - |
dc.contributor.author | Murray, Víctor | - |
dc.contributor.author | Pattichis, Marios S. | - |
dc.contributor.author | Pantziaris, Marios | - |
dc.contributor.author | Seimenis, Ioannis | - |
dc.contributor.author | Pattichis, Constantinos S. | - |
dc.date.accessioned | 2021-11-10T12:08:02Z | - |
dc.date.available | 2021-11-10T12:08:02Z | - |
dc.date.issued | 2010-05 | - |
dc.identifier.citation | 12th Mediterranean Conference on Medical and Biological Engineering and Computing, 2010, 27-30 May, Chalkidiki, Greece | en_US |
dc.identifier.isbn | 978-3-642-13039-7 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/23611 | - |
dc.description.abstract | In this study we investigate the use of multiscale Amplitude Modulation-Frequency Modulation (AM-FM) methods for analyzing brain white matter lesions that are associated with multiple sclerosis MRI lesions imaged at 0 and 6-12 months. We use the instantaneous amplitude (IA) and the instantaneous frequency (IF) to assess disease progression. The IA and the IF were calculated in transverse sections of T2- weighted magnetic resonance (MR) images acquired from 38 symptomatic untreated subjects between the first and the second examination scan. The findings suggest that the high-, medium-, and low- frequency scale instantaneous amplitude and frequency can be used to differentiate between normal tissue and lesions at 0 and 6-12 months. Moreover, support vector machine (SVM) models gave satisfactory results for differentiating lesions at 0 months using the medium scale IA and IF components for expanded disability status scale (EDSS) <=2 and EDSS >2. Further work is needed with more subjects in validating the proposed AM-FM analysis. © 2010 International Federation for Medical and Biological Engineering. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | Mediterranean Conference on Medical and Biological Engineering and Computing | en_US |
dc.rights | © Springer | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Multiple sclerosis | en_US |
dc.subject | AM-FM analysis | en_US |
dc.subject | Brain white matter | en_US |
dc.subject | Disease progression | en_US |
dc.title | AM-FM texture image analysis in multiple sclerosis brain white matter lesions | en_US |
dc.type | Conference Papers | en_US |
dc.collaboration | Intercollege | en_US |
dc.collaboration | University of New Mexico | en_US |
dc.collaboration | Cyprus Institute of Neurology and Genetics | en_US |
dc.collaboration | Ayios Therissos Medical Diagnostic Center | en_US |
dc.collaboration | University of Cyprus | en_US |
dc.subject.category | Medical Engineering | en_US |
dc.country | Cyprus | en_US |
dc.country | United States | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1007/978-3-642-13039-7_112 | en_US |
dc.identifier.scopus | 2-s2.0-77957582021 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/77957582021 | - |
cut.common.academicyear | 2009-2010 | en_US |
dc.identifier.spage | 446 | en_US |
dc.identifier.epage | 449 | en_US |
item.grantfulltext | none | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.openairetype | conferenceObject | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0003-1247-8573 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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