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Proceedings Paper

Modeling the brain morphology distribution in the general aging population
Author(s): W. Huizinga; D. H. J. Poot; G. Roshchupkin; E. E. Bron; M. A. Ikram; M. W. Vernooij; D. Rueckert; W. J. Niessen; S. Klein
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Paper Abstract

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.

Paper Details

Date Published: 29 March 2016
PDF: 7 pages
Proc. SPIE 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, 97880I (29 March 2016); doi: 10.1117/12.2207228
Show Author Affiliations
W. Huizinga, Erasmus MC (Netherlands)
D. H. J. Poot, Erasmus MC (Netherlands)
Delft Univ. of Technology (Netherlands)
G. Roshchupkin, Erasmus MC (Netherlands)
E. E. Bron, Erasmus MC (Netherlands)
M. A. Ikram, Erasmus MC (Netherlands)
M. W. Vernooij, Erasmus MC (Netherlands)
D. Rueckert, Imperial College London (United Kingdom)
W. J. Niessen, Erasmus MC (Netherlands)
Delft Univ. of Technology (Netherlands)
S. Klein, Erasmus MC (Netherlands)


Published in SPIE Proceedings Vol. 9788:
Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging
Barjor Gimi; Andrzej Krol, Editor(s)

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