Bias-reduced neural networks for parameter estimation in quantitative MRI.

Journal: Magnetic resonance in medicine
Published Date: May 4, 2024

Abstract

PURPOSE: To develop neural network (NN)-based quantitative MRI parameter estimators with minimal bias and a variance close to the Cramér-Rao bound.

Authors

  • Andrew Mao
    Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.
  • Sebastian Flassbeck
    Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York City, New York, USA.
  • Jakob Assländer
    Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York City, New York, USA.

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