@inproceedings{f7fcbf9f31fb42329ccedeac77f48115,
title = "Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation",
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.",
author = "Michalkiewicz, {Mateusz Dawid} and Pai, {Akshay Sadananda Uppinakudru} and Leung, {Kelvin K.} and Sommer, {Stefan Horst} and Sune Darkner and Lauge S{\o}rensen and Jon Sporring and Mads Nielsen",
year = "2016",
doi = "10.1117/12.2217089",
language = "English",
isbn = "9781510600195",
series = "Progress in Biomedical Optics and Imaging",
publisher = "SPIE - International Society for Optical Engineering",
editor = "Styner, {Martin A.} and Angelini, {Elsa D.}",
booktitle = "Medical imaging 2016",
note = "SPIE Medical Imaging 2016 ; Conference date: 27-02-2016 Through 03-03-2016",
}