Literature DB >> 32076662

fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.

Florian Knoll1, Jure Zbontar1, Anuroop Sriram1, Matthew J Muckley1, Mary Bruno1, Aaron Defazio1, Marc Parente1, Krzysztof J Geras1, Joe Katsnelson1, Hersh Chandarana1, Zizhao Zhang1, Michal Drozdzalv1, Adriana Romero1, Michael Rabbat1, Pascal Vincent1, James Pinkerton1, Duo Wang1, Nafissa Yakubova1, Erich Owens1, C Lawrence Zitnick1, Michael P Recht1, Daniel K Sodickson1, Yvonne W Lui1.   

Abstract

A publicly available dataset containing k-space data as well as Digital Imaging and Communications in Medicine image data of knee images for accelerated MR image reconstruction using machine learning is presented. 2020 by the Radiological Society of North America, Inc.

Year:  2020        PMID： 32076662      PMCID： PMC6996599          DOI： 10.1148/ryai.2020190007

Source DB:  PubMed          Journal:  Radiol Artif Intell        ISSN： 2638-6100


  15 in total

1.  SENSE: sensitivity encoding for fast MRI.

Authors:  K P Pruessmann; M Weiger; M B Scheidegger; P Boesiger
Journal:  Magn Reson Med       Date:  1999-11       Impact factor: 4.668

2.  Simultaneous acquisition of spatial harmonics (SMASH): fast imaging with radiofrequency coil arrays.

Authors:  D K Sodickson; W J Manning
Journal:  Magn Reson Med       Date:  1997-10       Impact factor: 4.668

3.  A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction.

Authors:  Jo Schlemper; Jose Caballero; Joseph V Hajnal; Anthony N Price; Daniel Rueckert
Journal:  IEEE Trans Med Imaging       Date:  2017-10-13       Impact factor: 10.048

4.  Image reconstruction by domain-transform manifold learning.

Authors:  Bo Zhu; Jeremiah Z Liu; Stephen F Cauley; Bruce R Rosen; Matthew S Rosen
Journal:  Nature       Date:  2018-03-21       Impact factor: 49.962

5.  Learning a variational network for reconstruction of accelerated MRI data.

Authors:  Kerstin Hammernik; Teresa Klatzer; Erich Kobler; Michael P Recht; Daniel K Sodickson; Thomas Pock; Florian Knoll
Journal:  Magn Reson Med       Date:  2017-11-08       Impact factor: 4.668

Review 6.  The WU-Minn Human Connectome Project: an overview.

Authors:  David C Van Essen; Stephen M Smith; Deanna M Barch; Timothy E J Behrens; Essa Yacoub; Kamil Ugurbil
Journal:  Neuroimage       Date:  2013-05-16       Impact factor: 6.556

7.  Assessment of the generalization of learned image reconstruction and the potential for transfer learning.

Authors:  Florian Knoll; Kerstin Hammernik; Erich Kobler; Thomas Pock; Michael P Recht; Daniel K Sodickson
Journal:  Magn Reson Med       Date:  2018-05-17       Impact factor: 4.668

8.  Variable-Density Single-Shot Fast Spin-Echo MRI with Deep Learning Reconstruction by Using Variational Networks.

Authors:  Feiyu Chen; Valentina Taviani; Itzik Malkiel; Joseph Y Cheng; Jonathan I Tamir; Jamil Shaikh; Stephanie T Chang; Christopher J Hardy; John M Pauly; Shreyas S Vasanawala
Journal:  Radiology       Date:  2018-07-24       Impact factor: 11.105

9.  Deep Generative Adversarial Neural Networks for Compressive Sensing MRI.

Authors:  Morteza Mardani; Enhao Gong; Joseph Y Cheng; Shreyas S Vasanawala; Greg Zaharchuk; Lei Xing; John M Pauly
Journal:  IEEE Trans Med Imaging       Date:  2018-07-23       Impact factor: 10.048

10.  ISMRM Raw data format: A proposed standard for MRI raw datasets.

Authors:  Souheil J Inati; Joseph D Naegele; Nicholas R Zwart; Vinai Roopchansingh; Martin J Lizak; David C Hansen; Chia-Ying Liu; David Atkinson; Peter Kellman; Sebastian Kozerke; Hui Xue; Adrienne E Campbell-Washburn; Thomas S Sørensen; Michael S Hansen
Journal:  Magn Reson Med       Date:  2016-01-29       Impact factor: 4.668
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  24 in total

1.  Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge.

Authors:  Florian Knoll; Tullie Murrell; Anuroop Sriram; Nafissa Yakubova; Jure Zbontar; Michael Rabbat; Aaron Defazio; Matthew J Muckley; Daniel K Sodickson; C Lawrence Zitnick; Michael P Recht
Journal:  Magn Reson Med       Date:  2020-06-07       Impact factor: 4.668

2.  Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms.

Authors:  Seyed Amir Hossein Hosseini; Burhaneddin Yaman; Steen Moeller; Mingyi Hong; Mehmet Akçakaya
Journal:  IEEE J Sel Top Signal Process       Date:  2020-06-17       Impact factor: 6.856

3.  Compressed Sensing MRI with ℓ1-Wavelet Reconstruction Revisited Using Modern Data Science Tools.

Authors:  Hongyi Gu; Burhaneddin Yaman; Kamil Ugurbil; Steen Moeller; Mehmet Akcakaya
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2021-11

4.  Over-and-Under Complete Convolutional RNN for MRI Reconstruction.

Authors:  Pengfei Guo; Jeya Maria Jose Valanarasu; Puyang Wang; Jinyuan Zhou; Shanshan Jiang; Vishal M Patel
Journal:  Med Image Comput Comput Assist Interv       Date:  2021-09-21

5.  Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image Reconstruction.

Authors:  Varun A Kelkar; Sayantan Bhadra; Mark A Anastasio
Journal:  IEEE Trans Comput Imaging       Date:  2021-01-08

6.  LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction.

Authors:  Johannes Leuschner; Maximilian Schmidt; Daniel Otero Baguer; Peter Maass
Journal:  Sci Data       Date:  2021-04-16       Impact factor: 6.444

7.  Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction.

Authors:  Dominik Narnhofer; Alexander Effland; Erich Kobler; Kerstin Hammernik; Florian Knoll; Thomas Pock
Journal:  IEEE Trans Med Imaging       Date:  2022-02-02       Impact factor: 10.048

Review 8.  Prospective Deployment of Deep Learning in MRI: A Framework for Important Considerations, Challenges, and Recommendations for Best Practices.

Authors:  Akshay S Chaudhari; Christopher M Sandino; Elizabeth K Cole; David B Larson; Garry E Gold; Shreyas S Vasanawala; Matthew P Lungren; Brian A Hargreaves; Curtis P Langlotz
Journal:  J Magn Reson Imaging       Date:  2020-08-24       Impact factor: 5.119

9.  Evaluation of MRI Denoising Methods Using Unsupervised Learning.

Authors:  Marc Moreno López; Joshua M Frederick; Jonathan Ventura
Journal:  Front Artif Intell       Date:  2021-06-04

10.  A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images.

Authors:  Yongwan Lim; Asterios Toutios; Yannick Bliesener; Ye Tian; Sajan Goud Lingala; Colin Vaz; Tanner Sorensen; Miran Oh; Sarah Harper; Weiyi Chen; Yoonjeong Lee; Johannes Töger; Mairym Lloréns Monteserin; Caitlin Smith; Bianca Godinez; Louis Goldstein; Dani Byrd; Krishna S Nayak; Shrikanth S Narayanan
Journal:  Sci Data       Date:  2021-07-20       Impact factor: 6.444
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