PortalPublikationenDirect Image Reconstruction of Lissajous-Type Magnetic Parti...

Direct Image Reconstruction of Lissajous-Type Magnetic Particle Imaging Data Using Chebyshev-Based Matrix Compression

Standard

Direct Image Reconstruction of Lissajous-Type Magnetic Particle Imaging Data Using Chebyshev-Based Matrix Compression. / Schmiester, L.; Möddel, M.; Erb, W.; Knopp, T.

in: IEEE T COMPUT, Jahrgang 3, Nr. 4, 2017, S. 671-681.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Schmiester, L, Möddel, M, Erb, W & Knopp, T 2017, 'Direct Image Reconstruction of Lissajous-Type Magnetic Particle Imaging Data Using Chebyshev-Based Matrix Compression', IEEE T COMPUT, Jg. 3, Nr. 4, S. 671-681. https://doi.org/10.1109/TCI.2017.2706058

APA

Schmiester, L., Möddel, M., Erb, W., & Knopp, T. (2017). Direct Image Reconstruction of Lissajous-Type Magnetic Particle Imaging Data Using Chebyshev-Based Matrix Compression. IEEE T COMPUT, 3(4), 671-681. https://doi.org/10.1109/TCI.2017.2706058

Vancouver

Schmiester L, Möddel M, Erb W, Knopp T. Direct Image Reconstruction of Lissajous-Type Magnetic Particle Imaging Data Using Chebyshev-Based Matrix Compression. IEEE T COMPUT. 2017;3(4):671-681. https://doi.org/10.1109/TCI.2017.2706058

Bibtex

@article{a7cd9ad6cb4746f8b3db0ad2c879fde9,
title = "Direct Image Reconstruction of Lissajous-Type Magnetic Particle Imaging Data Using Chebyshev-Based Matrix Compression",
keywords = "Chebyshev approximation, image coding, image reconstruction, magnetic particles, matrix algebra, medical image processing, nanoparticles, Chebyshev transformation, Lissajous-type magnetic particle imaging data, Lissajous-type measurement sequences, MPI system matrix, algebraic approach, direct image reconstruction, magnetic nanoparticles, matrix compression techniques, medical imaging, spatial distribution, Image reconstruction, Magnetic resonance imaging, Sparse matrices, Trajectory, Two dimensional displays, Biomedical imaging, data compression",
author = "L. Schmiester and M. M{\"o}ddel and W. Erb and T. Knopp",
year = "2017",
doi = "10.1109/TCI.2017.2706058",
language = "English",
volume = "3",
pages = "671--681",
journal = "IEEE T COMPUT",
issn = "0018-9340",
publisher = "IEEE Computer Society",
number = "4",

}

RIS

TY - JOUR

T1 - Direct Image Reconstruction of Lissajous-Type Magnetic Particle Imaging Data Using Chebyshev-Based Matrix Compression

AU - Schmiester, L.

AU - Möddel, M.

AU - Erb, W.

AU - Knopp, T.

PY - 2017

Y1 - 2017

KW - Chebyshev approximation

KW - image coding

KW - image reconstruction

KW - magnetic particles

KW - matrix algebra

KW - medical image processing

KW - nanoparticles

KW - Chebyshev transformation

KW - Lissajous-type magnetic particle imaging data

KW - Lissajous-type measurement sequences

KW - MPI system matrix

KW - algebraic approach

KW - direct image reconstruction

KW - magnetic nanoparticles

KW - matrix compression techniques

KW - medical imaging

KW - spatial distribution

KW - Image reconstruction

KW - Magnetic resonance imaging

KW - Sparse matrices

KW - Trajectory

KW - Two dimensional displays

KW - Biomedical imaging

KW - data compression

U2 - 10.1109/TCI.2017.2706058

DO - 10.1109/TCI.2017.2706058

M3 - SCORING: Journal article

VL - 3

SP - 671

EP - 681

JO - IEEE T COMPUT

JF - IEEE T COMPUT

SN - 0018-9340

IS - 4

ER -