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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Loizou, C.P. Seimenis, I. Pantziaris, M. Kasparis, T. Kyriacou, E.C. Pattichis, C.S. |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Computer Science, School of Sciences, Intercollege, P.O.Box 51604, CY-3507, Limassol, Cyprus (Loizou, C.P.) || Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus (Pantziaris, M.) || Medical Diagnostic Center “Ayios Therissos”, Nicosia, Cyprus (Seimenis, I.) || Frederick University, 18 Mariou Agathaggelou Str, CY-3080, Limassol, Cyprus (Kyriacou, E.C.) || Department of Computer Science, University of Cyprus, Nicosia, Cyprus (Pattichis, C.S.) || Department of Electrical Engineering and Information Technologies, Cyprus University of Technology, Limassol, Cyprus (Kasparis, T.) |
| Abstract | The purpose of this paper is to explore the use of texture features analysis for evaluating normal appearing white matter (NAWM) areas in brain Magnetic Resonance Imaging (MRI) scans of patients with a first demyelinating event (Clinically Isolated Syndrome-CIS) that have been subsequently converted (in follow up MRI scans) in demyelinating plaques. Texture features analysis was carried out in NAWM areas selected from transverse sections of T2-weighted MRI scans acquired from 10 untreated subjects that had developed their first neurological-demyelinating event (CIS). All NAWM areas and demyelinating lesions were manually segmented by an experienced multiple sclerosis (MS) neurologist. The patients were twice scanned with brain MRI with an interval of 6–12 months (time 0, initial MRI and time 6–12, repeated MRI scan). Areas in repeated MRI scan, where new lesions had been developed, were mapped back to their corresponding initial MRI scan NAWM areas. Following that, texture features were extracted from those NAWM areas that evolved to demyelinating lesions and compared to texture features extracted from NAWM areas of the initial MRI scan that didn't evolve to demyelinating lesions. It was shown that for the texture features investigated, no single feature could be used to differentiate between NAWM at 0 months (NAWM_C_0), and ROIS that will evolve into demyalating lesions also at 0 months (ROIS_0). Several features could be used to differentiate between ROIS_0 vs Lesions at 0 months, NAWM at 6 months and Lesions at 6 months, as well as between Lesions at 0 months vs Lesions at 6 months. Future work will investigate the proposed method on more subjects. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 585724 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424465590 |
| e-ISBN | 9781424465613 |
| DOI | 10.1109/ITAB.2010.5687688 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-11-03 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Magnetic resonance imaging Entropy Correlation Variable speed drives Manuals Lesions |
| Content Type | Text |
| Resource Type | Article |
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