A Boundary-Value-Free Reconstruction Method for Magnetic Resonance Electrical Properties Tomography Based on the Neumann-Type Integral Formula over a Circular Region

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Author(s)

    • FUSHIMI Motofumi
    • Graduate School of Information Science and Technology, The University of Tokyo
    • NARA Takaaki
    • Graduate School of Information Science and Technology, The University of Tokyo

Abstract

The electrical properties (EPs) of biological tissue, consisting of conductivity and permittivity, provide useful information for the diagnosis of malignant tissues and the evaluation of heat absorption rates. Recently, magnetic resonance electrical properties tomography (MREPT), by which EPs are reconstructed from internal magnetic field data measured by using magnetic resonance imaging (MRI), has been actively studied. We previously proposed an explicit pointwise reconstruction method for MREPT based on a complex partial differential equation (PDE), known as the D-bar equation, of the electric field and its explicit solution given by an integral formula. In this method, as in some other conventional methods, EP values on the boundary of the region of interest must be given as a Dirichlet boundary condition of the PDE. However, it is difficult to know these values precisely in practical situations. Therefore, in this paper, we propose a novel method for reconstructing EPs in a circular region without any knowledge of boundary EP values. Starting from the integral solution to solve the D-bar equation in a circular region with the Neumann boundary condition, we show that the contour integral term of the integral formula is eliminated by using Faraday's law and solve the PDE based only on magnetic field data measured by using MRI. Numerical simulations show that the proposed method yields a good reconstruction results without any knowledge of boundary EP values.

Journal

  • SICE Journal of Control, Measurement, and System Integration

    SICE Journal of Control, Measurement, and System Integration 10(6), 571-578, 2017

    The Society of Instrument and Control Engineers

Codes

  • NII Article ID (NAID)
    130006252937
  • Text Lang
    ENG
  • ISSN
    1882-4889
  • Data Source
    J-STAGE 
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