Fast brain-wide search of highly discriminative regions in medical images: an application to Alzheimer's disease

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Publikace nespadá pod Ekonomicko-správní fakultu, ale pod Lékařskou fakultu. Oficiální stránka publikace je na webu muni.cz.
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JANOUŠOVÁ Eva VOUNOU Maria WOLZ Robin GRAY Katherine RUECKERT Daniel MONTANA Giovanni

Rok publikování 2011
Druh Článek ve sborníku
Konference Proceedings of Medical Image Understanding and Analysis 2011
Fakulta / Pracoviště MU

Lékařská fakulta

Citace
www http://www.biomedical-image-analysis.co.uk/images/stories/janousova-mandsini-71.pdf
Obor Neurologie, neurochirurgie, neurovědy
Klíčová slova Feature selection; penalised regression; sparse classification; MRI; PET; Alzheimer's disease
Popis We propose a fast algorithm for the identification of localised brain regions from medical images that discriminate between two groups of individuals. The method is based on a combination of penalised regression and a data resampling procedure. We apply this approach to both MRI and PET images for the classification of subjects with Alzheimer's disease and mild cognitive impairment. We show that the voxels selected by the algorithm form connected brain regions which are well known to be affected by Alzheimer's disease. A linear statistical classifier trained on the selected voxels achieves cross-validated classification results that are comparable to those obtained by current state-of-the-art methodologies.
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