Change point estimation of the hippocampal volumes in Alzheimer's disease

Xiaoying Tang, Marilyn Albert, Michael I. Miller, Laurent Younes

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

Abstract

Volumetric changes in the hippocampus have been shown to precede clinical symptom onset during the preclinical phase of Alzheimer's disease (AD). In this paper, we propose a novel statistical method for estimating the change point of the hippocampus, as extracted from structural magnetic resonance imaging scans, in relation to clinical symptom onset. We used a linear mixed-effect statistical model. Maximum likelihood estimation was employed as the strategy that was applied in two phases.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 13th Conference on Computer and Robot Vision, CRV 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages358-361
Number of pages4
ISBN (Electronic)9781509024919
DOIs
StatePublished - Dec 28 2016
Event13th Conference on Computer and Robot Vision, CRV 2016 - Victoria, Canada
Duration: Jun 1 2016Jun 3 2016

Other

Other13th Conference on Computer and Robot Vision, CRV 2016
CountryCanada
CityVictoria
Period6/1/166/3/16

Keywords

  • Alzheimer's disease
  • Change point
  • Hippocampus
  • Linear mixed-effects
  • Maximum likelihood estimation

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

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