Deep learning enables accurate soft tissue deformation estimation in vivo

Reece D. Huff1, Frederick Houghton1, Conner C. Earl2, Elnaz Ghajar-Rahimi2, Ishan Dogra1, Denny Yu2, Craig J. Goergen2, Carisa Harris-Adamson1, & Grace D. O’Connell1

1UC Berkeley & 2Purdue University

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StrainNet

Generating a training set

WARNING: This tutorial may be outdated. Please visit the StrainNet GitHub repo for the most up-to-date documentation here.

README.md

Citation

@article{huff2024strainnet,
title={Deep learning enables accurate soft tissue tendon deformation estimation in vivo via ultrasound imaging},
author={Huff, Reece D and Houghton, Frederick and Earl, Conner C and Ghajar-Rahimi, Elnaz and Dogra, Ishan and Yu, Denny and Harris-Adamson, Carisa and Goergen, Craig J and O’Connell, Grace D},
journal={Scientific Reports},
volume={14},
number={1},
pages={18401},
year={2024},
publisher={Nature Publishing Group UK London},
}


Acknowledgements

This study was supported by the National Institutes of Health (NIH R21 AR075127-02), the National Science Foundation (NSF GRFP), and the National Institute for Occupational Safety and Health (NIOSH) / Centers for Disease Control and Prevention (CDC) (Training Grant T42OH008429).