Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification.

Journal: Computers in biology and medicine
Published Date: May 16, 2020

Abstract

INTRODUCTION: MRI T2* relaxometry protocols are often used for Liver Iron Quantification in patients with hemochromatosis. Several methods exist to semi-automatically segment parenchyma and exclude vessels for this calculation.

Authors

  • Michael Liu
    Radiology, Columbia University Medical Center, 622 West 168th Street, PB 1-301, New York, NY, USA.
  • Rami Vanguri
    Department of Radiology, Columbia University Medical Center, New York, NY; Data Science Institute, Columbia University, New York, NY.
  • Simukayi Mutasa
    Department of Radiology, Columbia University Medical Center, New York, New York 10032.
  • Richard Ha
    Department of Radiology, Columbia University Medical Center, New York, NY.
  • Yu-Cheng Liu
    Department of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY, 10032, USA.
  • Terry Button
    Department of Radiology, Stony Brook University, Stony Brook, NY, USA.
  • Sachin Jambawalikar
    Department of Radiology, Columbia University Medical Center, New York, NY.

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