Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.
Matthew J. MuckleyBruno RiemenschneiderAlireza RadmaneshSunwoo KimGeunu JeongJingyu KoYohan JunHyungseob ShinDosik HwangMahmoud MostaphaSimon ArberetDominik NickelZaccharie RamziPhilippe CiuciuJean-Luc StarckJonas TeuwenDimitrios KarkalousosChaoping ZhangAnuroop SriramZhengnan HuangNafissa YakubovaYvonne W. LuiFlorian KnollPublished in: IEEE Trans. Medical Imaging (2021)
Keyphrases
- image reconstruction
- machine learning
- cardiac imaging
- reconstructed image
- super resolution
- compressed sensing
- image reconstruction algorithms
- computed tomography
- radon transform
- image registration
- inverse problems
- limited angle
- tomographic reconstruction
- magnetic resonance
- mr images
- medical images
- random projections
- sampled data
- emission computed tomography
- emission tomography
- zernike moments
- low resolution
- reconstruction method
- magnetic resonance imaging
- high quality
- positron emission tomography