AntiLibrary5 / on-3d-bone-locations

On predicting 3D bone locations inside the human body

Abdelmouttaleb Dakri · Vaibhav Arora · Léo Challier · Marilyn Keller
Michael J. Black · Sergi Pujades ·

Official code for MRI-Bones (MICCAI 2024), This project predicts bone locations using external 3D body surface data. Traditional methods rely on 2D data or pseudo-ground truth, lacking precise validation. We enhance the SKEL model into SKEL+ for better bone fitting accuracy using segmented skin and bone data from 3D MRI scans.

Citation

@inproceedings{MICCAI:2024,
  title = {On predicting 3D bone locations inside the human body},
  author = {Dakri, Abdelmouttaleb and Arora, Vaibhav and Challier, Léo and Keller, Marilyn and and Black, Michael J. and Pujades, Sergi},   
  booktitle = {26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)},
  month = oct,
  year = {2024},
  month_numeric = {NA}}

License

Apache 2.0