fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
@article{Zbontar2018fastMRIAO, title={fastMRI: An Open Dataset and Benchmarks for Accelerated MRI}, author={J. Zbontar and F. Knoll and Anuroop Sriram and Matthew Muckley and Mary Bruno and Aaron Defazio and Marc Parente and Krzysztof J Geras and Joe Katsnelson and H. Chandarana and Zizhao Zhang and M. Drozdzal and A. Romero and M. Rabbat and P. Vincent and James Pinkerton and D. Wang and N. Yakubova and E. Owens and C. L. Zitnick and M. Recht and D. Sodickson and Y. Lui}, journal={ArXiv}, year={2018}, volume={abs/1811.08839} }
Accelerating Magnetic Resonance Imaging (MRI) by taking fewer measurements has the potential to reduce medical costs, minimize stress to patients and make MRI possible in applications where it is currently prohibitively slow or expensive. We introduce the fastMRI dataset, a large-scale collection of both raw MR measurements and clinical MR images, that can be used for training and evaluation of machine-learning approaches to MR image reconstruction. By introducing standardized evaluation… CONTINUE READING
Figures, Tables, and Topics from this paper
Paper Mentions
News Article
158 Citations
Improving the Speed of MRI with Artificial Intelligence.
- Medicine
- Seminars in musculoskeletal radiology
- 2020
- 6
State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge
- Computer Science, Engineering
- ArXiv
- 2020
- 4
- PDF
Deep learning for fast MR imaging: a review for learning reconstruction from incomplete k-space data.
- Computer Science, Engineering
- 2020
- PDF
Benchmarking Deep Nets MRI Reconstruction Models on the Fastmri Publicly Available Dataset
- Computer Science
- 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)
- 2020
- 4
- PDF
MRI Super-Resolution With Ensemble Learning and Complementary Priors
- Computer Science, Engineering
- IEEE Transactions on Computational Imaging
- 2020
- 12
- PDF
PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI
- Computer Science, Engineering
- ArXiv
- 2019
- 12
- PDF
The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods
- Computer Science, Engineering
- ArXiv
- 2019
- 9
- PDF
References
SHOWING 1-10 OF 64 REFERENCES
Accelerated Magnetic Resonance Imaging by Adversarial Neural Network
- Computer Science
- DLMIA/ML-CDS@MICCAI
- 2017
- 17
Accelerating magnetic resonance imaging via deep learning
- Computer Science, Medicine
- 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
- 2016
- 325
Deep convolutional neural networks for accelerated dynamic magnetic resonance imaging
- Computer Science
- 2017
- 16
- PDF
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
- Computer Science
- IPMI
- 2017
- 143
- PDF
Deep learning for undersampled MRI reconstruction
- Computer Science, Mathematics
- Physics in medicine and biology
- 2018
- 136
- PDF
A Transfer‐Learning Approach for Accelerated MRI Using Deep Neural Networks
- Computer Science, Medicine
- Magnetic resonance in medicine
- 2020
- 28
- PDF
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
- Computer Science, Medicine
- IEEE Transactions on Medical Imaging
- 2018
- 406
- PDF