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Abstract #0063

Results of the 2020 fastMRI Brain Reconstruction Challenge

Bruno Riemenschneider1, Matthew Muckley2, Alireza Radmanesh1, Sunwoo Kim3, Geunu Jeong3, Jingyu Ko3, Yohan Jun4, Hyungseob Shin4, Dosik Hwang4, Mahmoud Mostapha5, Simon Arberet5, Dominik Nickel6, Zaccharie Ramzi7,8, Philippe Ciuciu7, Jean-Luc Starck7, Jonas Teuwen9, Dimitrios Karkalousos10, Chaoping Zhang10, Anuroop Sriram11, Zhengnan Huang1, Nafissa Yakubova2, Yvonne W. Lui1, and Florian Knoll1
1NYU School of Medicine, New York, NY, United States, 2Facebook AI Research, New York, NY, United States, 3AIRS Medical, Seoul, Korea, Republic of, 4Yonsei University, Seoul, Korea, Republic of, 5Siemens Healthineers, Princeton, NJ, United States, 6Siemens Healthcare GmbH, Erlangen, Germany, 7CEA (NeuroSpin) & Inria Saclay (Parietal), Université Paris-Saclay, Gif-sur-Yvette, France, 8Département d’Astrophysique, CEA-Saclay, Gif-sur-Yvette, France, 9Radboud University Medical Center, Nijmegen, Netherlands, 10Amsterdam UMC, Amsterdam, Netherlands, 11Facebook AI Research, Menlo Park, CA, United States

The next round of the fastMRI reconstruction challenge took place, this time using anatomical brain data. Submissions were ranked by SSIM and resulting finalists again by 6 radiologists. We observed the cases with clear SSIM separation achieving the highest radiologists’ rankings, in particular the winning reconstructions. Most 4x track reconstructions exhibit desirable image quality, with some exceptions that show anatomy-like hallucinations. Radiologist sentiment decreased for the 8x and Transfer tracks, indicating that these may require further investigation.

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