xmed-lab / DIF-Gaussian

MICCAI 2024: Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction

DIF-Gaussian

Yiqun Lin, Hualiang Wang, Jixiang Chen, and Xiaomeng Li. "Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction." MICCAI 2024. arXiv

@misc{lin2024learning3d,
      title={Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction}, 
      author={Yiqun Lin and Hualiang Wang and Jixiang Chen and Xiaomeng Li},
      year={2024},
      eprint={2407.01090},
      archivePrefix={arXiv},
      primaryClass={eess.IV},
      url={https://arxiv.org/abs/2407.01090}, 
}

1. Installation

torch 1.13, pytorch3d, SimpleITK, easydict

2. Data Preprocessing

Please refer to https://github.com/xmed-lab/C2RV-CBCT/tree/main/data for more details.

3. Experiments