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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F11%3A00056978" target="_blank" >RIV/00216224:14110/11:00056978 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Fast brain-wide search of highly discriminative regions in medical images: an application to Alzheimer's disease
Original language description
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 applythis 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.
Czech name
—
Czech description
—

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of Medical Image Understanding and Analysis 2011
ISBN
1-901725-41-3
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
17-21
Publisher name
King's College London
Place of publication
London, United Kingdom
Event location
King's College London, UK
Event date
Jul 13, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)