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Dictionary-based background signal estimation for magnetic particle imaging

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Dictionary-based background signal estimation for magnetic particle imaging. / Knopp, Tobias; Grosser, Mirco; Graeser, Matthias; Gerkmann, Timo; Moddel, Martin.

2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, 2021. p. 1540-1543 9434048 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2021-April).

Research output: SCORING: Contribution to book/anthology › Conference contribution - Article for conference › Research › peer-review

Harvard

Knopp, T, Grosser, M, Graeser, M, Gerkmann, T & Moddel, M 2021, Dictionary-based background signal estimation for magnetic particle imaging. in 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021., 9434048, Proceedings - International Symposium on Biomedical Imaging, vol. 2021-April, IEEE Computer Society, pp. 1540-1543, 18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, 13.04.21. https://doi.org/10.1109/ISBI48211.2021.9434048

APA

Knopp, T., Grosser, M., Graeser, M., Gerkmann, T., & Moddel, M. (2021). Dictionary-based background signal estimation for magnetic particle imaging. In 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021 (pp. 1540-1543). [9434048] (Proceedings - International Symposium on Biomedical Imaging; Vol. 2021-April). IEEE Computer Society. https://doi.org/10.1109/ISBI48211.2021.9434048

Vancouver

Knopp T, Grosser M, Graeser M, Gerkmann T, Moddel M. Dictionary-based background signal estimation for magnetic particle imaging. In 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society. 2021. p. 1540-1543. 9434048. (Proceedings - International Symposium on Biomedical Imaging). https://doi.org/10.1109/ISBI48211.2021.9434048

Bibtex

@inbook{25d3b221bbc94ef887fc8b0c4010f1d6,
title = "Dictionary-based background signal estimation for magnetic particle imaging",
abstract = "Magnetic Particle Imaging is a highly sensitive tracer-based imaging method able to image as little as a nanogram of tracer material. In practice, background signals stemming from imperfections in the scanner instrumentation make it challenging to achieve these very high sensitivities. In case where the background signal is static over time it can be simply subtracted using an empty reference measurement. In this work we develop a method that is capable of handling dynamic background signals. Since the particle signal and the background signal are superimposed, we propose to perform a joint estimation of both quantities. The background signal space is modeled by a dictionary of background signals, build from a set of representative drifting background measurements. The proposed method is evaluated on experimentally and it is shown that it is capable of accurately estimating the background and tracer signal in a dynamic phantom experiment. ",
keywords = "Background Signals, Dictionary Approach, Image Reconstruction, Magnetic Particle Imaging",
author = "Tobias Knopp and Mirco Grosser and Matthias Graeser and Timo Gerkmann and Martin Moddel",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 18th IEEE International Symposium on Biomedical Imaging, ISBI 2021 ; Conference date: 13-04-2021 Through 16-04-2021",
year = "2021",
month = apr,
day = "13",
doi = "10.1109/ISBI48211.2021.9434048",
language = "English",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "1540--1543",
booktitle = "2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021",
address = "United States",

}

RIS

TY - CHAP

T1 - Dictionary-based background signal estimation for magnetic particle imaging

AU - Knopp, Tobias

AU - Grosser, Mirco

AU - Graeser, Matthias

AU - Gerkmann, Timo

AU - Moddel, Martin

N1 - Publisher Copyright: © 2021 IEEE.

PY - 2021/4/13

Y1 - 2021/4/13

N2 - Magnetic Particle Imaging is a highly sensitive tracer-based imaging method able to image as little as a nanogram of tracer material. In practice, background signals stemming from imperfections in the scanner instrumentation make it challenging to achieve these very high sensitivities. In case where the background signal is static over time it can be simply subtracted using an empty reference measurement. In this work we develop a method that is capable of handling dynamic background signals. Since the particle signal and the background signal are superimposed, we propose to perform a joint estimation of both quantities. The background signal space is modeled by a dictionary of background signals, build from a set of representative drifting background measurements. The proposed method is evaluated on experimentally and it is shown that it is capable of accurately estimating the background and tracer signal in a dynamic phantom experiment.

AB - Magnetic Particle Imaging is a highly sensitive tracer-based imaging method able to image as little as a nanogram of tracer material. In practice, background signals stemming from imperfections in the scanner instrumentation make it challenging to achieve these very high sensitivities. In case where the background signal is static over time it can be simply subtracted using an empty reference measurement. In this work we develop a method that is capable of handling dynamic background signals. Since the particle signal and the background signal are superimposed, we propose to perform a joint estimation of both quantities. The background signal space is modeled by a dictionary of background signals, build from a set of representative drifting background measurements. The proposed method is evaluated on experimentally and it is shown that it is capable of accurately estimating the background and tracer signal in a dynamic phantom experiment.

KW - Background Signals

KW - Dictionary Approach

KW - Image Reconstruction

KW - Magnetic Particle Imaging

UR - http://www.scopus.com/inward/record.url?scp=85107173642&partnerID=8YFLogxK

U2 - 10.1109/ISBI48211.2021.9434048

DO - 10.1109/ISBI48211.2021.9434048

M3 - Conference contribution - Article for conference

AN - SCOPUS:85107173642

T3 - Proceedings - International Symposium on Biomedical Imaging

SP - 1540

EP - 1543

BT - 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021

PB - IEEE Computer Society

T2 - 18th IEEE International Symposium on Biomedical Imaging, ISBI 2021

Y2 - 13 April 2021 through 16 April 2021

ER -