Alzheimer's Disease Detection in Brain Magnetic Resonance Images Using Multiscale Fractal Analysis. (29th October 2013)

• Record Type: Journal Article
• Authors: Lahmiri, Salim; Boukadoum, Mounir
• Other Names: Narayana P. A. Academic Editor.; Tsuchiya K. Academic Editor.
• Is Part Of: ISRN radiology. Volume 2013(2013)
• Publication Date: 2013-10-29
• Subjects: Radiology -- Periodicals; Radiology; Radiology; Electronic journals; Periodical; Fulltext; Internet Resources; Periodicals; Periodicals; 616.0757
• DOI: 10.5402/2013/627303
• Languages: English
• ISSNs: 2314-4084

Abstract

Abstract : We present a new automated system for the detection of brain magnetic resonance images (MRI) affected by Alzheimer's disease (AD). The MRI is analyzed by means of multiscale analysis (MSA) to obtain its fractals at six different scales. The extracted fractals are used as features to differentiate healthy brain MRI from those of AD by a support vector machine (SVM) classifier. The result of classifying 93 brain MRIs consisting of 51 images of healthy brains and 42 of brains affected by AD, using leave-one-out cross-validation method, yielded99.18 % ± 0.01 classification accuracy, 100% sensitivity, and98.20 % ± 0.02 specificity. These results and a processing time of 5.64 seconds indicate that the proposed approach may be an efficient diagnostic aid for radiologists in the screening for AD.