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dc.contributor.authorLoizou, Christos P.en
dc.contributor.authorMurray, V.en
dc.contributor.authorPattichis, Marios S.en
dc.contributor.authorPantzaris, Marios C.en
dc.contributor.authorSeimenis, Ioannisen
dc.contributor.authorPattichis, Constantinos S.en
dc.creatorLoizou, Christos P.en
dc.creatorMurray, V.en
dc.creatorPattichis, Marios S.en
dc.creatorPantzaris, Marios C.en
dc.creatorSeimenis, Ioannisen
dc.creatorPattichis, Constantinos S.en
dc.description.abstractIn 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.sourceIFMBE Proceedingsen
dc.source12th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2010en
dc.subjectMultiple sclerosisen
dc.subjectMagnetic resonance imagingen
dc.subjectMagnetic resonanceen
dc.subjectLow frequencyen
dc.subjectImage analysisen
dc.subjectBiochemical engineeringen
dc.subjectMedical computingen
dc.subjectAmplitude modulationen
dc.subjectInstantaneous amplitudeen
dc.subjectInstantaneous frequencyen
dc.subjectWhite matter lesionsen
dc.subjectAM-FM analysisen
dc.subjectbrain white matteren
dc.subjectdisease progressionen
dc.subjectMachine componentsen
dc.subjectNormal tissueen
dc.subjectTransverse sectionen
dc.titleAM-FM texture image analysis in multiple sclerosis brain white matter lesionsen
dc.description.endingpage449 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied SciencesΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Conference code: 81753en
dc.description.notesCited By :2</p>en
dc.contributor.orcidPattichis, Constantinos S. [0000-0003-1271-8151]
dc.contributor.orcidPattichis, Marios S. [0000-0002-1574-1827]
dc.contributor.orcidLoizou, Christos P. [0000-0003-1247-8573]
dc.contributor.orcidPantzaris, Marios C. [0000-0003-2937-384X]

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