@inbook{04bc1d737c884296ad215e9dd936a328,
title = "Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep Networks",
abstract = "Biomechanical modeling of tissue deformation can be used to simulate different scenarios of longitudinal brain evolution. In this work, we present a deep learning framework for hyper-elastic strain modelling of brain atrophy, during healthy ageing and in Alzheimer{\textquoteright}s Disease. The framework directly models the effects of age, disease status, and scan interval to regress regional patterns of atrophy, from which a strain-based model estimates deformations. This model is trained and validated using 3D structural magnetic resonance imaging data from the ADNI cohort. Results show that the framework can estimate realistic deformations, following the known course of Alzheimer{\textquoteright}s disease, that clearly differentiate between healthy and demented patterns of ageing. This suggests the framework has potential to be incorporated into explainable models of disease, for the exploration of interventions and counterfactual examples.",
keywords = "Biomechanical modelling, Deep learning, Disease progression, Neurodegeneration",
author = "Silva, {Mariana Da} and Sudre, {Carole H.} and Kara Garcia and Cher Bass and Cardoso, {M. Jorge} and Robinson, {Emma C.}",
note = "Funding Information: Acknowledgments. The data used in this work was funded by the Alzheimer{\textquoteright}s Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense award number W81XWH-12-2-0012). Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 4th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2021 held in Conjunction with 24th International Conference on Medical Imaging Computing and Computer-Assisted Intervention, MICCAI 2021 ; Conference date: 27-09-2021 Through 27-09-2021",
year = "2021",
doi = "10.1007/978-3-030-87586-2_2",
language = "English",
isbn = "9783030875855",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "13--22",
editor = "Ahmed Abdulkadir and Kia, {Seyed Mostafa} and Mohamad Habes and Vinod Kumar and Rondina, {Jane Maryam} and Chantal Tax and Chantal Tax and Thomas Wolfers",
booktitle = "Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Proceedings",
address = "Germany",
}