Beltrami-net: domain-independent deep D-bar learning for absolute imaging with electrical impedance tomography (a-EIT).

Journal: Physiological measurement
Published Date: Jul 23, 2019

Abstract

OBJECTIVE: To develop, and demonstrate the feasibility of, a novel image reconstruction method for absolute electrical impedance tomography (a-EIT) that pairs deep learning techniques with real-time robust D-bar methods and examine the influence of prior information on the reconstruction.

Authors

  • S J Hamilton
    Department of Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee, WI 53233, United States of America. Authors to whom any correspondence should be addressed.
  • A Hänninen
  • A Hauptmann
  • V Kolehmainen

Keywords

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