TY - JOUR
T1 - Fast evaluation of the Biot-Savart integral using FFT for electrical conductivity imaging
AU - Yazdanian, Hassan
AU - Saturnino, Guilherme B.
AU - Thielscher, Axel
AU - Knudsen, Kim
N1 - Publisher Copyright:
© 2020 Elsevier Inc.
PY - 2020/6/15
Y1 - 2020/6/15
N2 - Magnetic resonance electrical impedance tomography (MREIT) and current density imaging (MRCDI) are emerging as new methods to non-invasively assess the electric conductivity of and current density distributions within biological tissue in vivo. The accurate and fast computation of magnetic fields caused by low frequency electrical currents is a central component of the development, evaluation and application of reconstruction methods that underlie the estimations of the conductivity and current density, respectively, from the measured MR data. However, methods for performing these computations have not been well established in the literature. In the current work, we describe a fast and efficient technique to evaluate the Biot-Savart integral based on the fast Fourier transform (FFT), and evaluate its convergence. We show that the method can calculate magnetic fields in realistic human head models in one minute on a standard computer, while keeping error below 2%.
AB - Magnetic resonance electrical impedance tomography (MREIT) and current density imaging (MRCDI) are emerging as new methods to non-invasively assess the electric conductivity of and current density distributions within biological tissue in vivo. The accurate and fast computation of magnetic fields caused by low frequency electrical currents is a central component of the development, evaluation and application of reconstruction methods that underlie the estimations of the conductivity and current density, respectively, from the measured MR data. However, methods for performing these computations have not been well established in the literature. In the current work, we describe a fast and efficient technique to evaluate the Biot-Savart integral based on the fast Fourier transform (FFT), and evaluate its convergence. We show that the method can calculate magnetic fields in realistic human head models in one minute on a standard computer, while keeping error below 2%.
KW - Biot-Savart integral
KW - Conductivity
KW - FFT
KW - Forward problem
KW - Magnetic field
UR - http://www.scopus.com/inward/record.url?scp=85081956212&partnerID=8YFLogxK
U2 - 10.1016/j.jcp.2020.109408
DO - 10.1016/j.jcp.2020.109408
M3 - Journal article
AN - SCOPUS:85081956212
SN - 0021-9991
VL - 411
JO - Journal of Computational Physics
JF - Journal of Computational Physics
M1 - 109408
ER -