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ArXiv
ArXiv
arxiv
ArXiv
2331-8422
Cornell University

arXiv:2312.14773v2
2312.14773
2
preprint
Article
Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains
Lin Rizhong
Gholipour Ali
Thiran Jean-Philippe
Karimi Davood
Kebiri Hamza
Cuadra Meritxell Bach
25 8 2024
arXiv:2312.14773v222 12 2023
https://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License, which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
http://arxiv.org/abs/2312.14773v2
nihpp-2312.14773v2.pdf
Deep learning models have shown great promise in estimating tissue microstructure from limited diffusion magnetic resonance imaging data. However, these models face domain shift challenges when test and train data are from different scanners and protocols, or when the models are applied to data with inherent variations such as the developing brains of infants and children scanned at various ages. Several techniques have been proposed to address some of these challenges, such as data harmonization or domain adaptation in the adult brain. However, those techniques remain unexplored for the estimation of fiber orientation distribution functions in the rapidly developing brains of infants. In this work, we extensively investigate the age effect and domain shift within and across two different cohorts of 201 newborns and 165 babies using the Method of Moments and fine-tuning strategies. Our results show that reduced variations in the microstructural development of babies in comparison to newborns directly impact the deep learning models' cross-age performance. We also demonstrate that a small number of target domain samples can significantly mitigate domain shift problems.

5 pages, 5 figures; accepted as an Oral Presentation at the 2024 IEEE International Symposium on Biomedical Imaging (ISBI) in Athens, Greece
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pmc
