Genetic algorithm search for the worst-case MRI RF exposure for a multiconfiguration implantable fixation system modeled using artificial neural networks.

Journal: Magnetic resonance in medicine
Published Date: Nov 1, 2020

Abstract

PURPOSE: This paper presents a method to search for the worst-case configuration leading to the highest RF exposure for a multiconfiguration implantable fixation system under MRI.

Authors

  • Jianfeng Zheng
    Department of Electrical and Computer Engineering, University of Houston, Houston, Texas, USA.
  • Qianlong Lan
    Department of Electrical and Computer Engineering, University of Houston, Houston, Texas, USA.
  • Wolfgang Kainz
    Center for Devices and Radiological Health, Food and Drug Administration, Rockville, Maryland, USA.
  • Stuart A Long
    Department of Electrical and Computer Engineering, University of Houston, Houston, Texas, USA.
  • Ji Chen
    Department of Population Health, New York University School of Medicine, New York, NY, United States.

Keywords

External Resources

Popular Topics
Recent Journals