TY - JOUR
T1 - Mpi reconstruction using bessel functions
AU - Maass, M.
AU - Droigk, C.
AU - Mertins, A.
N1 - Publisher Copyright:
© 2020 Infinite Science Publishing.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/9/2
Y1 - 2020/9/2
N2 - This publication proposes for the first time a direct reconstruction technique based on weighted Bessel functions of first kind. As basis for the formulation the well-known Chebyshev reconstruction is used. By utilizing the Fourier transform of Chebyshev polynomials of second kind, which is nothing else than a weighted Bessel function of first kind, a new formulation which allows for reconstruction of the particle distribution in the Fourier domain is derived. This method comes with the benefit of allowing for a direct deconvolution in frequency domain. With numerical simulations we show the equivalence to the Chebyshev reconstruction and demonstrate different strategies to perform the deconvolution.
AB - This publication proposes for the first time a direct reconstruction technique based on weighted Bessel functions of first kind. As basis for the formulation the well-known Chebyshev reconstruction is used. By utilizing the Fourier transform of Chebyshev polynomials of second kind, which is nothing else than a weighted Bessel function of first kind, a new formulation which allows for reconstruction of the particle distribution in the Fourier domain is derived. This method comes with the benefit of allowing for a direct deconvolution in frequency domain. With numerical simulations we show the equivalence to the Chebyshev reconstruction and demonstrate different strategies to perform the deconvolution.
UR - http://www.scopus.com/inward/record.url?scp=85090291320&partnerID=8YFLogxK
U2 - 10.18416/IJMPI.2020.2009017
DO - 10.18416/IJMPI.2020.2009017
M3 - Journal articles
AN - SCOPUS:85090291320
VL - 6
SP - 1
EP - 3
JO - International Workshop on Magnetic Particle Imaging (IWMPI) 2017, Book of Abstracts
JF - International Workshop on Magnetic Particle Imaging (IWMPI) 2017, Book of Abstracts
SN - 2365-9033
IS - 2
M1 - 2009017
ER -