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Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images
Joint Authors
Eftestøl, Trygve
Aarsland, Dag
Engan, Kjersti
Oppedal, Ketil
Beyer, Mona K.
Source
International Journal of Biomedical Imaging
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-22
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Dementia is an evolving challenge in society, and no disease-modifying treatment exists.
Diagnosis can be demanding and MR imaging may aid as a noninvasive method to increase prediction accuracy.
We explored the use of 2D local binary pattern (LBP) extracted from FLAIR and T1 MR images of the brain combined with a Random Forest classifier in an attempt to discern patients with Alzheimer's disease (AD), Lewy body dementia (LBD), and normal controls (NC).
Analysis was conducted in areas with white matter lesions (WML) and all of white matter (WM).
Results from 10-fold nested cross validation are reported as mean accuracy, precision, and recall with standard deviation in brackets.
The best result we achieved was in the two-class problem NC versus AD + LBD with total accuracy of 0.98 (0.04).
In the three-class problem AD versus LBD versus NC and the two-class problem AD versus LBD, we achieved 0.87 (0.08) and 0.74 (0.16), respectively.
The performance using 3DT1 images was notably better than when using FLAIR images.
The results from the WM region gave similar results as in the WML region.
Our study demonstrates that LBP texture analysis in brain MR images can be successfully used for computer based dementia diagnosis.
American Psychological Association (APA)
Oppedal, Ketil& Eftestøl, Trygve& Engan, Kjersti& Beyer, Mona K.& Aarsland, Dag. 2015. Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images. International Journal of Biomedical Imaging،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1065283
Modern Language Association (MLA)
Oppedal, Ketil…[et al.]. Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images. International Journal of Biomedical Imaging No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1065283
American Medical Association (AMA)
Oppedal, Ketil& Eftestøl, Trygve& Engan, Kjersti& Beyer, Mona K.& Aarsland, Dag. Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images. International Journal of Biomedical Imaging. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1065283
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1065283