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Proceedings Paper

Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation
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Paper Abstract

Brain atrophy from structural magnetic resonance images (MRIs) is widely used as an imaging surrogate marker for Alzheimers disease. Their utility has been limited due to the large degree of variance and subsequently high sample size estimates. The only consistent and reasonably powerful atrophy estimation methods has been the boundary shift integral (BSI). In this paper, we first propose a tensor-based morphometry (TBM) method to measure voxel-wise atrophy that we combine with BSI. The combined model decreases the sample size estimates significantly when compared to BSI and TBM alone.

Paper Details

Date Published: 21 March 2016
PDF: 6 pages
Proc. SPIE 9784, Medical Imaging 2016: Image Processing, 978406 (21 March 2016); doi: 10.1117/12.2217089
Show Author Affiliations
Mateusz Michalkiewicz, Univ. of Copenhagen (Denmark)
Akshay Pai, Univ. of Copenhagen (Denmark)
Kelvin K. Leung, Univ. College London (United Kingdom)
Stefan Sommer, Univ. of Copenhagen (Denmark)
Sune Darkner, Univ. of Copenhagen (Denmark)
Lauge Sørensen, Univ. of Copenhagen (Denmark)
Biomediq (Denmark)
Jon Sporring, Univ. of Copenhagen (Denmark)
Mads Nielsen, Univ. of Copenhagen (Denmark)
Biomediq (Denmark)

Published in SPIE Proceedings Vol. 9784:
Medical Imaging 2016: Image Processing
Martin A. Styner; Elsa D. Angelini, Editor(s)

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