Detecting hippocampal shape changes in Alzheimer's disease using statistical shape models

Kaikai Shen*, Pierrick Bourgeat, Jurgen Fripp, Fabrice Meriaudeau, Olivier Salvado, Alzheimer's Disease Neuroimaging Initiative

*Corresponding author for this work

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

Abstract

The hippocampus is affected at an early stage in the development of Alzheimer's disease (AD). Using brain Magnetic Resonance (MR) images, we can investigate the effect of AD on the morphology of the hippocampus. Statistical shape models (SSM) are usually used to describe and model the hippocampal shape variations among the population. We use the shape variation from SSM as features to classify AD from normal control cases (NC). Conventional SSM uses principal component analysis (PCA) to compute the modes of variations among the population. Although these modes are representative of variations within the training data, they are not necessarily discriminant on labelled data. In this study, a Hotelling's T-2 test is used to qualify the landmarks which can be used for PCA. The resulting variation modes are used as predictors of AD from NC. The discrimination ability of these predictors is evaluated in terms of their classification performances using support vector machines (SVM). Using only landmarks statistically discriminant between AD and NC in SSM showed a better separation between AD and NC. These predictors also showed better correlation to the cognitive scores such as mini-mental state examination (MMSE) and Alzheimer's disease assessment scale (ADAS).

Original languageEnglish
Title of host publicationMedical Imaging 2011
Subtitle of host publicationImage Processing
EditorsBenoit M. Dawant, David R. Haynor
Place of PublicationWashington
PublisherSPIE
Pages1-7
Number of pages7
ISBN (Electronic)9780819485045
DOIs
Publication statusPublished - 2011
Externally publishedYes
EventConference on Medical Imaging 2011 - Image Processing - Lake Buena Vista
Duration: 14 Feb 201116 Feb 2011

Publication series

NameProceedings of SPIE
PublisherSPIE-INT SOC OPTICAL ENGINEERING
Volume7962
ISSN (Print)0277-786X

Conference

ConferenceConference on Medical Imaging 2011 - Image Processing
CityLake Buena Vista
Period14/02/1116/02/11

Keywords

  • MRI
  • Alzheimer's disease
  • hippocampus
  • shape analysis
  • statistical shape model

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