dc.contributor.author | Loizou, Christos P. | en |
dc.contributor.author | Murray, V. | en |
dc.contributor.author | Pattichis, Marios S. | en |
dc.contributor.author | Pantzaris, Marios C. | en |
dc.contributor.author | Seimenis, Ioannis | en |
dc.contributor.author | Pattichis, Constantinos S. | en |
dc.creator | Loizou, Christos P. | en |
dc.creator | Murray, V. | en |
dc.creator | Pattichis, Marios S. | en |
dc.creator | Pantzaris, Marios C. | en |
dc.creator | Seimenis, Ioannis | en |
dc.creator | Pattichis, Constantinos S. | en |
dc.date.accessioned | 2019-11-13T10:41:03Z | |
dc.date.available | 2019-11-13T10:41:03Z | |
dc.date.issued | 2010 | |
dc.identifier.isbn | 978-3-642-13038-0 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/54424 | |
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. Further work is needed with more subjects in validating the proposed AM-FM analysis. © 2010 International Federation for Medical and Biological Engineering. | en |
dc.source | IFMBE Proceedings | en |
dc.source | 12th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2010 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-77957582021&doi=10.1007%2f978-3-642-13039-7_112&partnerID=40&md5=123d2491b1afc7036ee4293a700c19e4 | |
dc.subject | Multiple sclerosis | en |
dc.subject | Magnetic resonance imaging | en |
dc.subject | Magnetic resonance | en |
dc.subject | Low frequency | en |
dc.subject | Image analysis | en |
dc.subject | Biochemical engineering | en |
dc.subject | Medical computing | en |
dc.subject | Amplitude modulation | en |
dc.subject | Instantaneous amplitude | en |
dc.subject | Instantaneous frequency | en |
dc.subject | Multiscales | en |
dc.subject | White matter lesions | en |
dc.subject | AM-FM analysis | en |
dc.subject | brain white matter | en |
dc.subject | disease progression | en |
dc.subject | Machine components | en |
dc.subject | Normal tissue | en |
dc.subject | Transverse section | en |
dc.title | AM-FM texture image analysis in multiple sclerosis brain white matter lesions | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1007/978-3-642-13039-7_112 | |
dc.description.volume | 29 | |
dc.description.startingpage | 446 | |
dc.description.endingpage | 449 | |
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>Conference code: 81753 | en |
dc.description.notes | Cited By :2</p> | en |
dc.contributor.orcid | Pattichis, Constantinos S. [0000-0003-1271-8151] | |
dc.contributor.orcid | Pattichis, Marios S. [0000-0002-1574-1827] | |
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 | 0000-0002-1574-1827 | |
dc.gnosis.orcid | 0000-0003-1247-8573 | |
dc.gnosis.orcid | 0000-0003-2937-384X | |