Increasing power to predict mild cognitive impairment conversion to Alzheimer's disease using hippocampal atrophy rate and statistical shape models

Kelvin K. Leung*, Kai-Kai Shen, Josephine Barnes, Gerard R. Ridgway, Matthew J. Clarkson, Jurgen Fripp, Olivier Salvado, Fabrice Meriaudeau, Nick C. Fox, Pierrick Bourgeat, Sebastien Ourselin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

6 Citations (Scopus)


Identifying mild cognitive impairment (MCI) subjects who will convert to clinical Alzheimer's disease (AD) is important for therapeutic decisions, patient counselling and clinical trials. Hippocampal volume and rate of atrophy predict clinical decline at the MCI stage and progression to AD. In tins paper, we create p-maps from the differences in the shape of the hippocampus between 60 normal controls and 60 AD subjects using statistical shape models, and generate different regions of interest; (ROI) by thresholding the p-maps at different significance levels. We demonstrate increased statistical power to classify 86 MCI converters and 128 MCI stable subjects using the hippocampal atrophy rates calculated by the boundary shift integral within these ROIs.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention – MICCAI 2010
Subtitle of host publication13th International Conference, Proceedings, Part II
EditorsTianzi Jiang, Nassir Navab, Josein P. W. Pluim, Max A. Viergever
Place of PublicationBerlin
PublisherSpringer, Springer Nature
Number of pages8
ISBN (Electronic)9783642157455
ISBN (Print)9783642157448
Publication statusPublished - 2010
Externally publishedYes
Event13th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) - Beijing
Duration: 20 Sep 201024 Sep 2010

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


Conference13th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)

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