Determination of 3D system matrices using a mirroring approach based on mixing theory

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Determination of 3D system matrices using a mirroring approach based on mixing theory. / Szwargulski, P.; Knopp, T.

in: Int J Magn Part Imag, Jahrgang 6, Nr. 2, 2009051, 2020.

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@article{c177a9dfe2e24f17a7f7aaefdc4b4781,
title = "Determination of 3D system matrices using a mirroring approach based on mixing theory",
abstract = "One approach of image reconstruction in MPI is the system matrix based reconstruction. With this approach, in addition to the particle behavior, the sequence and the scanner properties are also calibrated and stored in a system matrix, so that a linear system of equations for the image reconstruction must be solved. However, the measurement of the system matrix is very time-consuming, depending on the desired spatial resolution. Independently of this, there are some remarkable symmetries within the system matrix that could be exploited to significantly reduce the calibration time. In the context of this work the theoretical description of a system matrix about Chebyshev polynomials is used to completely build a 3D system matrix by mirroring an octant and to successfully reconstruct an image.",
author = "P. Szwargulski and T. Knopp",
note = "Publisher Copyright: {\textcopyright} 2020 Szwargulski et al.; licensee Infinite Science Publishing GmbH.",
year = "2020",
doi = "10.18416/IJMPI.2020.2009051",
language = "English",
volume = "6",
journal = "Int J Magn Part Imag",
issn = "2365-9033",
publisher = "Infinite Science Publishing",
number = "2",

}

RIS

TY - JOUR

T1 - Determination of 3D system matrices using a mirroring approach based on mixing theory

AU - Szwargulski, P.

AU - Knopp, T.

N1 - Publisher Copyright: © 2020 Szwargulski et al.; licensee Infinite Science Publishing GmbH.

PY - 2020

Y1 - 2020

N2 - One approach of image reconstruction in MPI is the system matrix based reconstruction. With this approach, in addition to the particle behavior, the sequence and the scanner properties are also calibrated and stored in a system matrix, so that a linear system of equations for the image reconstruction must be solved. However, the measurement of the system matrix is very time-consuming, depending on the desired spatial resolution. Independently of this, there are some remarkable symmetries within the system matrix that could be exploited to significantly reduce the calibration time. In the context of this work the theoretical description of a system matrix about Chebyshev polynomials is used to completely build a 3D system matrix by mirroring an octant and to successfully reconstruct an image.

AB - One approach of image reconstruction in MPI is the system matrix based reconstruction. With this approach, in addition to the particle behavior, the sequence and the scanner properties are also calibrated and stored in a system matrix, so that a linear system of equations for the image reconstruction must be solved. However, the measurement of the system matrix is very time-consuming, depending on the desired spatial resolution. Independently of this, there are some remarkable symmetries within the system matrix that could be exploited to significantly reduce the calibration time. In the context of this work the theoretical description of a system matrix about Chebyshev polynomials is used to completely build a 3D system matrix by mirroring an octant and to successfully reconstruct an image.

U2 - 10.18416/IJMPI.2020.2009051

DO - 10.18416/IJMPI.2020.2009051

M3 - Other (editorial matter etc.)

AN - SCOPUS:85090247764

VL - 6

JO - Int J Magn Part Imag

JF - Int J Magn Part Imag

SN - 2365-9033

IS - 2

M1 - 2009051

ER -