Uncertainty propagation in phaseless electric properties tomography

TL;DR

This paper investigates how uncertainties affect the accuracy of a phaseless electric properties tomography method in MRI, using Monte Carlo simulations to analyze the inverse problem of reconstructing electric properties without phase information.

Contribution

It introduces an uncertainty propagation analysis for a phaseless electric properties tomography technique using Monte Carlo methods, adapting contrast source inversion for phase-less data.

Findings

Uncertainty impacts the accuracy of electric property reconstructions.

Monte Carlo method effectively quantifies uncertainty effects.

The adapted inverse method provides insights into stability under noise.

Abstract

Uncertainty propagation in a phaseless magnetic resonance-based electric properties tomography technique is investigated using the Monte Carlo method. The studied inverse method, which recovers the electric properties distribution at radiofrequency inside a scatterer irradiated by the coils of a magnetic resonance imaging scanner, is based on the contrast source inversion technique adapted to process phaseless input data.