MingR-Ma / normalized_gradient_field_pytorch

pytorch implementation of registration metric Normalized Gradient Field

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Normalized-Gradient-Fields-pytorch

This repo is a pytorch implementation of registration metric Normalized Gradient Field, which can apply to 2D/3D images.

@inproceedings{haber2006intensity,
  title={Intensity gradient based registration and fusion of multi-modal images},
  author={Haber, Eldad and Modersitzki, Jan},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={726--733},
  year={2006},
  organization={Springer}
} 
@inproceedings{hager2020variable,
  title={Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg Challenge},
  author={H{\"a}ger, Stephanie and Heldmann, Stefan and Hering, Alessa and Kuckertz, Sven and Lange, Annkristin},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={74--79},
  year={2020},
  organization={Springer}
}

Adopted from repos:

pytorch_similarity

ptVreg

FAIR.m

airlab

About

pytorch implementation of registration metric Normalized Gradient Field


Languages

Language:Python 100.0%