AM-FM texture image analysis in brain white matter lesions in the progression of multiple sclerosis

C. P. Loizou; V. Murray; M. S. Pattichis; M. Pantziaris; C. S. Pattichis

doi:10.1109/SSIAI.2010.5483919

AM-FM texture image analysis in brain white matter lesions in the progression of multiple sclerosis

C. P. Loizou
, V. Murray
, M. S. Pattichis
, M. Pantziaris
, C. S. Pattichis

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We present the use of multiscale Amplitude Modulation Frequency Modulation (AM-FM) methods for analyzing brain white matter lesions that are associated with disease progression. We analyze lesions and normal appearing white matter (NAWM) longitudinally (0 and 6 months) and also for progression of disease. We use the expanded disability status scale (EDSS) to assess disease progression. The findings suggest that the high-frequency scale instantaneous amplitude can be used to differentiate between lesions associated with early and advanced disease stages. The classification results using the IF information and support vector machines produced a maximum sensitivity of 0.86, specificity of 0.76 and a maximum correct classification of 0.71.

Original language	English
Title of host publication	2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings
Pages	61-64
Number of pages	4
DOIs	https://doi.org/10.1109/SSIAI.2010.5483919
Publication status	Published - 2010
Event	2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Austin, TX, United States Duration: 23 May 2010 → 25 May 2010

Other

Other	2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010
Country/Territory	United States
City	Austin, TX
Period	23/05/10 → 25/05/10

Keywords

MRI
Multiple sclerosis
Multiscale AM-FM analysis

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10.1109/SSIAI.2010.5483919

Cite this

@inproceedings{4a2bff05ec334481a105d4a3d3615cb4,

title = "AM-FM texture image analysis in brain white matter lesions in the progression of multiple sclerosis",

abstract = "We present the use of multiscale Amplitude Modulation Frequency Modulation (AM-FM) methods for analyzing brain white matter lesions that are associated with disease progression. We analyze lesions and normal appearing white matter (NAWM) longitudinally (0 and 6 months) and also for progression of disease. We use the expanded disability status scale (EDSS) to assess disease progression. The findings suggest that the high-frequency scale instantaneous amplitude can be used to differentiate between lesions associated with early and advanced disease stages. The classification results using the IF information and support vector machines produced a maximum sensitivity of 0.86, specificity of 0.76 and a maximum correct classification of 0.71.",

keywords = "MRI, Multiple sclerosis, Multiscale AM-FM analysis",

author = "Loizou, \{C. P.\} and V. Murray and Pattichis, \{M. S.\} and M. Pantziaris and Pattichis, \{C. S.\}",

year = "2010",

doi = "10.1109/SSIAI.2010.5483919",

language = "English",

isbn = "9781424478026",

pages = "61--64",

booktitle = "2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings",

note = "2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 ; Conference date: 23-05-2010 Through 25-05-2010",

}

Loizou, CP, Murray, V, Pattichis, MS, Pantziaris, M & Pattichis, CS 2010, AM-FM texture image analysis in brain white matter lesions in the progression of multiple sclerosis. in 2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings., 5483919, pp. 61-64, 2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010, Austin, TX, United States, 23/05/10. https://doi.org/10.1109/SSIAI.2010.5483919

AM-FM texture image analysis in brain white matter lesions in the progression of multiple sclerosis. / Loizou, C. P.; Murray, V.; Pattichis, M. S. et al.
2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings. 2010. p. 61-64 5483919.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - AM-FM texture image analysis in brain white matter lesions in the progression of multiple sclerosis

AU - Loizou, C. P.

AU - Murray, V.

AU - Pattichis, M. S.

AU - Pantziaris, M.

AU - Pattichis, C. S.

PY - 2010

Y1 - 2010

N2 - We present the use of multiscale Amplitude Modulation Frequency Modulation (AM-FM) methods for analyzing brain white matter lesions that are associated with disease progression. We analyze lesions and normal appearing white matter (NAWM) longitudinally (0 and 6 months) and also for progression of disease. We use the expanded disability status scale (EDSS) to assess disease progression. The findings suggest that the high-frequency scale instantaneous amplitude can be used to differentiate between lesions associated with early and advanced disease stages. The classification results using the IF information and support vector machines produced a maximum sensitivity of 0.86, specificity of 0.76 and a maximum correct classification of 0.71.

AB - We present the use of multiscale Amplitude Modulation Frequency Modulation (AM-FM) methods for analyzing brain white matter lesions that are associated with disease progression. We analyze lesions and normal appearing white matter (NAWM) longitudinally (0 and 6 months) and also for progression of disease. We use the expanded disability status scale (EDSS) to assess disease progression. The findings suggest that the high-frequency scale instantaneous amplitude can be used to differentiate between lesions associated with early and advanced disease stages. The classification results using the IF information and support vector machines produced a maximum sensitivity of 0.86, specificity of 0.76 and a maximum correct classification of 0.71.

KW - MRI

KW - Multiple sclerosis

KW - Multiscale AM-FM analysis

UR - https://www.scopus.com/pages/publications/77954791883

U2 - 10.1109/SSIAI.2010.5483919

DO - 10.1109/SSIAI.2010.5483919

M3 - Conference contribution

AN - SCOPUS:77954791883

SN - 9781424478026

SP - 61

EP - 64

BT - 2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings

T2 - 2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010

Y2 - 23 May 2010 through 25 May 2010

ER -

AM-FM texture image analysis in brain white matter lesions in the progression of multiple sclerosis

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