Classification of Alzheimer's Disease from structural MRI using sparse logistic regression with optional spatial regularization

Rao, Anil and Lee, Ying and Gass, Achim and Monsch, Andreas. (2011) Classification of Alzheimer's Disease from structural MRI using sparse logistic regression with optional spatial regularization. Annual international conference of the IEEE Engineering in Medicine and Biology Society, 2011. pp. 4499-4502.

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Official URL: https://edoc.unibas.ch/79869/

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In this paper, we apply Sparse Logistic Regression Classifiers to the classification of 69 Alzheimer's Disease and 60 normal control subjects based on voxel-wise grey matter volumes derived from structural MRI. Methods such as standard logistic regression cannot be used in such problems because of the large number of voxels in comparison to the number of training subjects. Sparse Logistic Regression (SLR) addresses this issue by incorporating a sparsity penalty into the log-likelihood, which effects an automatic feature selection within the classification framework. We apply two different formulations of sparse logistic regression and compare their classification accuracy with that of Penalized Logistic Regression (PLR) and Maximum uncertainty Linear Discriminant Analysis (MLDA). In the first approach, we use the original formulation of SLR in which correlated voxels are forced to have similar weights. In the second approach we use a spatially regularized formulation, SRSLR, to force the discriminating vector to be spatially smooth when viewed as an image. Evaluation of the methods using cross-validation shows similar classification accuracies for SLR and SRSLR, with both performing better than PLR and MLDA. In addition, SRSLR produced classifiers that were spatially smoother than those produced by SLR, which may better reflect the regional effects of Alzheimer's Disease. What do you want to do ? New mail Copy
Faculties and Departments:03 Faculty of Medicine > Bereich Medizinische Fächer (Klinik) > Geriatrie
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Medizinische Fächer (Klinik) > Geriatrie
07 Faculty of Psychology > Departement Psychologie
UniBasel Contributors:Monsch, Andreas U. U
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:IEEE Engineering in Medicine and Biology Society
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:21 Dec 2020 08:22
Deposited On:21 Dec 2020 08:22

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