Research Articles

Download PDF (4.21 MB)

TOMOGRAPHY, March 2017, Volume 3, Issue 1: 50-59
DOI: 10.18383/j.tom.2016.00283

An MR-Based Viscosity-Type Regularization Method for Electrical Property Tomography

Changyou Li1, Wenwei Yu2, and Shao Ying Huang3

1School of Electronics and Information, Northwestern Polytechnical University, China; 2Center for Frontier Medical Engineering, Chiba University, Japan; and 3Bio-Medical Group, Engineering Product Development, Singapore University of Technology and Design, Singapore


Here, a method based on viscosity-type regularization is proposed for magnetic resonance electrical property tomography (MREPT) to mitigate persistent artifacts when it is used to reconstruct a map of electrical properties based on data from a magnetic resonance imaging scanner. The challenges for solving the corresponding partial differential equation (PDE) are discussed in detail. The existing artifacts in the numerical results are pointed out and classified. The methods in the literature for MREPT are mainly based on an assumption of local homogeneity, which makes the approach simple but leads to artifacts in the transition region where electrical properties vary rapidly. Recent work has focused on eliminating the assumption of local homogeneity, and one of the solutions is convection–reaction MREPT that is based on a first-order PDE. Numerical solutions of the PDE have persistent artifacts in certain regions and global spurious oscillations. Here, a method based on viscosity-type regularization is proposed to effectively mitigate the aforementioned problems. Finite difference method is used for discretizing the governing PDE. Numerical experiments are presented to analyze the problem in detail. Electrical properties of different phantoms are successfully retrieved. The efficiency, accuracy, and noise tolerance of the proposed method are illustrated with numerical results.

Supplemental Media


Download the article PDF (4.21 MB)

Download the full issue PDF (141.48 MB)

Mobile-ready Flipbook

View the full issue as a flipbook (Desktop and Mobile-ready)