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Description:
spreco 0.0.4
Speed up MR scanner with generative priors for image reconstruction (SPRECO)
This package is to help you train generative image priors of MRI images and then use them in image reconstruction. It has the following features:
Distributed training
Interruptible training
Efficient dataloader for medical images
Customizable with a configuration file
Seamless deployment with BART
Installation: Clone this repository and use conda to set up the environment.
$ git clone https://github.com/mrirecon/spreco.git
$ cd spreco
$ pip install .
Reference
We would appreciate it if you tried our codes and cited our work.
[1] G. Luo, X. Wang, M. Blumenthal, M. Schilling, EHU. Rauf, R. Kotikalapudi, NK. Focke, M. Uecker. Generative image priors for MRI reconstruction trained from magnitude-only images. arXiv preprint arXiv:2308.02340 (2023)
[2] G. Luo, M. Blumenthal, M. Heide, M. Uecker. Bayesian MRI reconstruction with joint uncertainty estimation using diffusion models. Magn Reson Med. 2023; 1-17
[3] M. Blumenthal, G. Luo, M. Schilling, HCM. Holme, M. Uecker. Deep, deep learning with BART. Magn Reson Med. 2023; 89: 678- 693.
[4] G. Luo, N. Zhao, W. Jiang, ES. Hui, P. Cao. MRI reconstruction using deep Bayesian estimation. Magn Reson Med. 2020; 84: 2246-2261.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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