Prediction of the spatial resolution of magnetic particle imaging using the modulation transfer function of the imaging process

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Prediction of the spatial resolution of magnetic particle imaging using the modulation transfer function of the imaging process. / Knopp, Tobias; Biederer, Sven; Sattel, Timo F; Erbe, Marlitt; Buzug, Thorsten M.

in: IEEE T MED IMAGING, Jahrgang 30, Nr. 6, 06.2011, S. 1284-92.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

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@article{f9e702294d7f47638178c25e7f8dfc9d,
title = "Prediction of the spatial resolution of magnetic particle imaging using the modulation transfer function of the imaging process",
abstract = "The magnetic particle imaging method allows for the quantitative determination of spatial distributions of superparamagnetic nanoparticles in vivo. Recently, it was shown that the 1-D magnetic particle imaging process can be formulated as a convolution. Analyzing the width of the convolution kernel allows for predicting the spatial resolution of the method. However, this measure does not take into account the noise of the measured data. Furthermore, it does not consider a reconstruction step, which can increase the resolution beyond the width of the convolution kernel. In this paper, the spatial resolution of magnetic particle imaging is investigated by analyzing the modulation transfer function of the imaging process. An expression for the spatial resolution is derived, which includes the noise level and which is validated in simulations and experiments.",
keywords = "Algorithms, Computer Simulation, Contrast Media, Dextrans, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Magnetite Nanoparticles, Models, Biological, Reproducibility of Results, Sensitivity and Specificity, Journal Article",
author = "Tobias Knopp and Sven Biederer and Sattel, {Timo F} and Marlitt Erbe and Buzug, {Thorsten M}",
year = "2011",
month = jun,
doi = "10.1109/TMI.2011.2113188",
language = "English",
volume = "30",
pages = "1284--92",
journal = "IEEE T MED IMAGING",
issn = "0278-0062",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "6",

}

RIS

TY - JOUR

T1 - Prediction of the spatial resolution of magnetic particle imaging using the modulation transfer function of the imaging process

AU - Knopp, Tobias

AU - Biederer, Sven

AU - Sattel, Timo F

AU - Erbe, Marlitt

AU - Buzug, Thorsten M

PY - 2011/6

Y1 - 2011/6

N2 - The magnetic particle imaging method allows for the quantitative determination of spatial distributions of superparamagnetic nanoparticles in vivo. Recently, it was shown that the 1-D magnetic particle imaging process can be formulated as a convolution. Analyzing the width of the convolution kernel allows for predicting the spatial resolution of the method. However, this measure does not take into account the noise of the measured data. Furthermore, it does not consider a reconstruction step, which can increase the resolution beyond the width of the convolution kernel. In this paper, the spatial resolution of magnetic particle imaging is investigated by analyzing the modulation transfer function of the imaging process. An expression for the spatial resolution is derived, which includes the noise level and which is validated in simulations and experiments.

AB - The magnetic particle imaging method allows for the quantitative determination of spatial distributions of superparamagnetic nanoparticles in vivo. Recently, it was shown that the 1-D magnetic particle imaging process can be formulated as a convolution. Analyzing the width of the convolution kernel allows for predicting the spatial resolution of the method. However, this measure does not take into account the noise of the measured data. Furthermore, it does not consider a reconstruction step, which can increase the resolution beyond the width of the convolution kernel. In this paper, the spatial resolution of magnetic particle imaging is investigated by analyzing the modulation transfer function of the imaging process. An expression for the spatial resolution is derived, which includes the noise level and which is validated in simulations and experiments.

KW - Algorithms

KW - Computer Simulation

KW - Contrast Media

KW - Dextrans

KW - Humans

KW - Image Enhancement

KW - Image Interpretation, Computer-Assisted

KW - Magnetic Resonance Imaging

KW - Magnetite Nanoparticles

KW - Models, Biological

KW - Reproducibility of Results

KW - Sensitivity and Specificity

KW - Journal Article

U2 - 10.1109/TMI.2011.2113188

DO - 10.1109/TMI.2011.2113188

M3 - SCORING: Journal article

C2 - 21317081

VL - 30

SP - 1284

EP - 1292

JO - IEEE T MED IMAGING

JF - IEEE T MED IMAGING

SN - 0278-0062

IS - 6

ER -