Software

DZNE-2023-00854

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Software: Estimating Head Motion from MR-Images (v1.0)

Pollak, C.DZNE* ; Kügler, D.DZNE* ; Reuter, M.DZNE*

2023
Zenodo

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Please use a persistent id in citations: doi:10.5281/ZENODO.7940494

Abstract: These are the neural network weights for our paper 'Estimating Head Motion from MR-Images' in the proceedings of ISBI 2023. Paper: https://arxiv.org/abs/2302.14490 Code on github: https://github.com/Deep-MI/head-motion-from-MRI Abstract: Head motion is an omnipresent confounder of magnetic resonance image (MRI) analyses as it systematically affects morphometric measurements, even when visual quality control is performed. In order to estimate subtle head motion, that remains undetected by experts, we introduce a deep learning method to predict in-scanner head motion directly from T1-weighted (T1w), T2-weighted (T2w) and fluid-attenuated inversion recovery (FLAIR) images using motion estimates from an in-scanner depth camera as ground truth. Since we work with data from compliant healthy participants of the Rhineland Study, head motion and resulting imaging artifacts are less prevalent than in most clinical cohorts and more difficult to detect. Our method demonstrates improved performance compared to state-of-the-art motion estimation methods and can quantify drift and respiration movement independently. Finally, on unseen data, our predictions preserve the known, significant correlation with age.

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Contributing Institute(s):

1. Artificial Intelligence in Medicine (AG Reuter)

Research Program(s):

1. 354 - Disease Prevention and Healthy Aging (POF4-354) (POF4-354)

Appears in the scientific report 2023

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Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a conference proceedings/Contribution to a book Pollak, C. (First author)DZNE* ; Kügler, D.DZNE* ; Reuter, M. (Last author)DZNE*
Estimating Head Motion from Mr-Images
20232023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) : [Proceedings] - IEEE, 2023. - ISBN 978-1-6654-7358-3 - doi:10.1109/ISBI53787.2023.10230717
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), CartagenaCartagena, Colombia, 18 Apr 2023 - 21 Apr 20232023-04-182023-04-21 IEEE pp. 1-5 (2023) [10.1109/ISBI53787.2023.10230717]2023   Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint Pollak, C. (First author)DZNE* ; Kügler, D.DZNE* ; Reuter, M. (Last author)DZNE*
Estimating Head Motion from MR-Images
arXiv (2023) [10.48550/arXiv.2302.14490]2023   Fulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

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