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Sparse reconstruction of the magnetic particle imaging system matrix

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Sparse reconstruction of the magnetic particle imaging system matrix. / Knopp, Tobias; Weber, Alexander.

in: IEEE T MED IMAGING, Jahrgang 32, Nr. 8, 08.2013, S. 1473-80.

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

Harvard

Knopp, T & Weber, A 2013, 'Sparse reconstruction of the magnetic particle imaging system matrix', IEEE T MED IMAGING, Jg. 32, Nr. 8, S. 1473-80. https://doi.org/10.1109/TMI.2013.2258029

APA

Knopp, T., & Weber, A. (2013). Sparse reconstruction of the magnetic particle imaging system matrix. IEEE T MED IMAGING, 32(8), 1473-80. https://doi.org/10.1109/TMI.2013.2258029

Vancouver

Knopp T, Weber A. Sparse reconstruction of the magnetic particle imaging system matrix. IEEE T MED IMAGING. 2013 Aug;32(8):1473-80. https://doi.org/10.1109/TMI.2013.2258029

Bibtex

@article{a1ab57d1e2b34cb3811ca4d770a68980,
title = "Sparse reconstruction of the magnetic particle imaging system matrix",
abstract = "Magnetic particle imaging allows to determine the spatial distribution of magnetic nanoparticles in vivo. The system matrix in magnetic particle imaging is commonly acquired in a tedious calibration scan and requires to measure the system response at numerous positions in the field-of-view. In this paper, we propose a method that significantly reduces the number of required calibration scans. It exploits the special structure of the system matrix and applies sparse reconstruction techniques. Experiments show that the number of calibration scans can be reduced by a factor of ten with only marginal loss of image quality.",
keywords = "Calibration, Image Processing, Computer-Assisted, Magnetite Nanoparticles, Molecular Imaging, Phantoms, Imaging, Signal-To-Noise Ratio, Journal Article",
author = "Tobias Knopp and Alexander Weber",
year = "2013",
month = aug,
doi = "10.1109/TMI.2013.2258029",
language = "English",
volume = "32",
pages = "1473--80",
journal = "IEEE T MED IMAGING",
issn = "0278-0062",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "8",

}

RIS

TY - JOUR

T1 - Sparse reconstruction of the magnetic particle imaging system matrix

AU - Knopp, Tobias

AU - Weber, Alexander

PY - 2013/8

Y1 - 2013/8

N2 - Magnetic particle imaging allows to determine the spatial distribution of magnetic nanoparticles in vivo. The system matrix in magnetic particle imaging is commonly acquired in a tedious calibration scan and requires to measure the system response at numerous positions in the field-of-view. In this paper, we propose a method that significantly reduces the number of required calibration scans. It exploits the special structure of the system matrix and applies sparse reconstruction techniques. Experiments show that the number of calibration scans can be reduced by a factor of ten with only marginal loss of image quality.

AB - Magnetic particle imaging allows to determine the spatial distribution of magnetic nanoparticles in vivo. The system matrix in magnetic particle imaging is commonly acquired in a tedious calibration scan and requires to measure the system response at numerous positions in the field-of-view. In this paper, we propose a method that significantly reduces the number of required calibration scans. It exploits the special structure of the system matrix and applies sparse reconstruction techniques. Experiments show that the number of calibration scans can be reduced by a factor of ten with only marginal loss of image quality.

KW - Calibration

KW - Image Processing, Computer-Assisted

KW - Magnetite Nanoparticles

KW - Molecular Imaging

KW - Phantoms, Imaging

KW - Signal-To-Noise Ratio

KW - Journal Article

U2 - 10.1109/TMI.2013.2258029

DO - 10.1109/TMI.2013.2258029

M3 - SCORING: Journal article

C2 - 23591480

VL - 32

SP - 1473

EP - 1480

JO - IEEE T MED IMAGING

JF - IEEE T MED IMAGING

SN - 0278-0062

IS - 8

ER -