Documents

  • 97880I

    Final published version, 1 MB, PDF-document

DOI

Both normal aging and neurodegenerative diseases such as Alzheimer's disease cause morphological changes of the brain. To better distinguish between normal and abnormal cases, it is necessary to model changes in brain morphology owing to normal aging. To this end, we developed a method for analyzing and visualizing these changes for the entire brain morphology distribution in the general aging population. The method is applied to 1000 subjects from a large population imaging study in the elderly, from which 900 were used to train the model and 100 were used for testing. The results of the 100 test subjects show that the model generalizes to subjects outside the model population. Smooth percentile curves showing the brain morphology changes as a function of age and spatiotemporal atlases derived from the model population are publicly available via an interactive web application at agingbrain.bigr.nl.

Original languageEnglish
Title of host publicationMedical Imaging 2016
Subtitle of host publicationBiomedical Applications in Molecular, Structural, and Functional Imaging
EditorsBarjor Gimi, Andrzej Krol
PublisherSPIE
Pages1-7
Volume9788
ISBN (Electronic)978-1-510600232
DOIs
Publication statusPublished - 2016
EventMedical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging - San Diego, United States
Duration: 1 Mar 20163 Mar 2016

Publication series

NameProceedings of SPIE
Volume9788
ISSN (Electronic)1605-7422

Conference

ConferenceMedical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging
CountryUnited States
CitySan Diego
Period1/03/163/03/16

    Research areas

  • LMS method, Non-rigid groupwise registration, Partial least squares regression, Spatiotemporal atlas, Statistical modeling

ID: 9625120