| Multiscale amplitude-modulation frequency-modulation (AM-FM) texture analysis of multiple sclerosis in brain MRI images. | |
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MedLine Citation:
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PMID: 21062681 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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This study introduces the use of multiscale amplitude modulation-frequency modulation (AM-FM) texture analysis of multiple sclerosis (MS) using magnetic resonance (MR) images from brain. Clinically, there is interest in identifying potential associations between lesion texture and disease progression, and in relating texture features with relevant clinical indexes, such as the expanded disability status scale (EDSS). This longitudinal study explores the application of 2-D AM-FM analysis of brain white matter MS lesions to quantify and monitor disease load. To this end, MS lesions and normal-appearing white matter (NAWM) from MS patients, as well as normal white matter (NWM) from healthy volunteers, were segmented on transverse T2-weighted images obtained from serial brain MR imaging (MRI) scans (0 and 6-12 months). The instantaneous amplitude (IA), the magnitude of the instantaneous frequency (IF), and the IF angle were extracted from each segmented region at different scales. The findings suggest that AM-FM characteristics succeed in differentiating 1) between NWM and lesions; 2) between NAWM and lesions; and 3) between NWM and NAWM. A support vector machine (SVM) classifier succeeded in differentiating between patients that, two years after the initial MRI scan, acquired an EDSS ≤ 2 from those with EDSS > 2 (correct classification rate = 86%). The best classification results were obtained from including the combination of the low-scale IA and IF magnitude with the medium-scale IA. The AM-FM features provide complementary information to classical texture analysis features like the gray-scale median, contrast, and coarseness. The findings of this study provide evidence that AM-FM features may have a potential role as surrogate markers of lesion load in MS. |
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Authors:
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C P Loizou; V Murray; M S Pattichis; I Seimenis; M Pantziaris; C S Pattichis |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2010-11-09 |
Journal Detail:
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Title: IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society Volume: 15 ISSN: 1558-0032 ISO Abbreviation: IEEE Trans Inf Technol Biomed Publication Date: 2011 Jan |
Date Detail:
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Created Date: 2011-01-10 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9712259 Medline TA: IEEE Trans Inf Technol Biomed Country: United States |
Other Details:
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Languages: eng Pagination: 119-29 Citation Subset: IM |
Affiliation:
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Department of Computer Science, School of Sciences, Intercollege, CY-3507 Limassol, Cyprus. loizou.c@lim.intercollege.ac.cy |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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