Morphological analysis in epidemiological studies using Growing and Adaptive MEshes: Application to subcortical structures in AD

L. Ferrarini, G. B. Frisoni, M. Pievani, R. Ganzola, J. H C Reiber, J. Milles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Detecting morphological changes in the brain is important for a better understanding of normal aging and brain disorders. Growing and Adaptive MEshes (GAMEs) is a multidimensional method for modeling complex brain structures and highlight significant differences between groups, such as healthy subjects versus patients with Alzheimer disease (AD). In this work, we have extended the functionalities of GAMEs by introducing a multidimensional analysis of linear correlation between local morphological changes and other independent variables, thus allowing for epidemiological studies. The new algorithm has been validated on a challenging medical application: the correlation of morphological changes in hippocampi and thalamus with the MMSE score, in a population of healthy subjects and patients with AD.

Original languageEnglish
Title of host publication2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings
Pages876-879
Number of pages4
DOIs
Publication statusPublished - 2010
Event7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Rotterdam, Netherlands
Duration: Apr 14 2010Apr 17 2010

Other

Other7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010
CountryNetherlands
CityRotterdam
Period4/14/104/17/10

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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    Ferrarini, L., Frisoni, G. B., Pievani, M., Ganzola, R., Reiber, J. H. C., & Milles, J. (2010). Morphological analysis in epidemiological studies using Growing and Adaptive MEshes: Application to subcortical structures in AD. In 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings (pp. 876-879). [5490126] https://doi.org/10.1109/ISBI.2010.5490126