FastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning

Flrian Knoll, Jure Zbontar, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aarn Defazio, Marc Parente, Krzysztof J. Geras, Je Katsnelsn, Hersh Chandarana, Zizhao Zhang, Michal Drzdzalv, Adriana Rmer, Michael Rabbat, Pascal Vincent, James Pinkertn, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence ZitnickMichael P. Recht, Daniel K. Sodickson, Yvonne W. Lui

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Article numbere190007
JournalRadiology: Artificial Intelligence
Volume2
Issue number1
DOIs
StatePublished - Jan 2020

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Artificial Intelligence

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