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Publication Detail
Measuring brain atrophy with a generalized formulation of the boundary shift integral.
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Comparative Study
  • Authors:
    Prados F, Cardoso MJ, Leung KK, Cash DM, Modat M, Fox NC, Wheeler-Kingshott CAM, Ourselin S, Alzheimer's Disease Neuroimaging Initiative
  • Publication date:
    01/2015
  • Pagination:
    S81, S90
  • Journal:
    Neurobiol Aging
  • Volume:
    36 Suppl 1
  • Status:
    Published
  • Country:
    United States
  • PII:
    S0197-4580(14)00550-8
  • Language:
    eng
  • Keywords:
    Alzheimer's disease, Biomarker, Clinical trials, MRI, boundary shift integral, Aged, Aged, 80 and over, Alzheimer Disease, Atrophy, Brain, Diffusion Magnetic Resonance Imaging, Female, Humans, Male, Middle Aged, Neuroimaging
Abstract
Brain atrophy measured using structural magnetic resonance imaging (MRI) has been widely used as an imaging biomarker for disease diagnosis and tracking of pathologic progression in neurodegenerative diseases. In this work, we present a generalized and extended formulation of the boundary shift integral (gBSI) using probabilistic segmentations to estimate anatomic changes between 2 time points. This method adaptively estimates a non-binary exclusive OR region of interest from probabilistic brain segmentations of the baseline and repeat scans to better localize and capture the brain atrophy. We evaluate the proposed method by comparing the sample size requirements for a hypothetical clinical trial of Alzheimer's disease to that needed for the current implementation of BSI as well as a fuzzy implementation of BSI. The gBSI method results in a modest but reduced sample size, providing increased sensitivity to disease changes through the use of the probabilistic exclusive OR region.
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