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2 April 2024 Tractography with T1-weighted MRI and associated anatomical constraints on clinical quality diffusion MRI
Tian Yu, Yunhe Li, Michael E. Kim, Chenyu Gao, Qi Yang, Leon Y. Cai, Susan M. Resnick, Lori L. Beason-Held, Daniel C. Moyer, Kurt G. Schilling, Bennett A. Landman
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Proceedings Volume 12926, Medical Imaging 2024: Image Processing; 129262B (2024) https://doi.org/10.1117/12.3006286
Event: SPIE Medical Imaging, 2024, San Diego, California, United States
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Abstract
Diffusion MRI (dMRI) streamline tractography, the gold standard for in vivo estimation of brain white matter (WM) pathways, has long been considered indicative of macroscopic relationships with WM microstructure. However, recent advances in tractography demonstrated that convolutional recurrent neural networks (CoRNN) trained with a teacherstudent framework have the ability to learn and propagate streamlines directly from T1 and anatomical contexts. Training for this network has previously relied on high-resolution dMRI. In this paper, we generalize the training mechanism to traditional clinical resolution data, which allows generalizability across sensitive and susceptible study populations. We train CoRNN on a small subset of the Baltimore Longitudinal Study of Aging (BLSA), which better resembles clinical protocols. Then, we define a metric, termed the epsilon ball seeding method, to compare T1 tractography and traditional diffusion tractography at the streamline level. Under this metric, T1 tractography generated by CoRNN reproduces diffusion tractography with approximately two millimeters of error.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Tian Yu, Yunhe Li, Michael E. Kim, Chenyu Gao, Qi Yang, Leon Y. Cai, Susan M. Resnick, Lori L. Beason-Held, Daniel C. Moyer, Kurt G. Schilling, and Bennett A. Landman "Tractography with T1-weighted MRI and associated anatomical constraints on clinical quality diffusion MRI", Proc. SPIE 12926, Medical Imaging 2024: Image Processing, 129262B (2 April 2024); https://doi.org/10.1117/12.3006286
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KEYWORDS
Diffusion
Magnetic resonance imaging
Anatomy
Brain
White matter
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