Hybrid system calibration for multidimensional magnetic particle imaging

Standard

Hybrid system calibration for multidimensional magnetic particle imaging. / von Gladiss, A; Graeser, M; Szwargulski, P; Knopp, T; Buzug, T M.

in: PHYS MED BIOL, Jahrgang 62, Nr. 9, 07.05.2017, S. 3392-3406.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

Harvard

von Gladiss, A, Graeser, M, Szwargulski, P, Knopp, T & Buzug, TM 2017, 'Hybrid system calibration for multidimensional magnetic particle imaging', PHYS MED BIOL, Jg. 62, Nr. 9, S. 3392-3406. https://doi.org/10.1088/1361-6560/aa5340

APA

von Gladiss, A., Graeser, M., Szwargulski, P., Knopp, T., & Buzug, T. M. (2017). Hybrid system calibration for multidimensional magnetic particle imaging. PHYS MED BIOL, 62(9), 3392-3406. https://doi.org/10.1088/1361-6560/aa5340

Vancouver

Bibtex

@article{1b9915b066e44c34975bc703db6ddcad,
title = "Hybrid system calibration for multidimensional magnetic particle imaging",
abstract = "Magnetic particle imaging visualizes the spatial distribution of superparamagnetic nanoparticles. Because of its key features of excellent sensitivity, high temporal and spatial resolution and biocompatibility of the tracer material it can be used in multiple medical imaging applications. The common reconstruction technique for Lissajous-type trajectories uses a system matrix that has to be previously acquired in a time-consuming calibration scan, leading to long downtimes of the scanning device. In this work, the system matrix is determined by a hybrid approach. Using the hybrid system matrix for reconstruction, the calibration downtime of the scanning device can be neglected. Furthermore, the signal to noise ratio of the hybrid system matrix is much higher, since the size of the required nanoparticle sample can be chosen independently of the desired voxel size. As the signal to noise ratio influences the reconstruction process, the resulting images have better resolution and are less affected by artefacts. Additionally, a new approach is introduced to address the background signal in image reconstruction. The common technique of subtraction of the background signal is replaced by extending the system matrix with an entry that represents the background. It is shown that this approach reduces artefacts in the reconstructed images.",
keywords = "Algorithms, Calibration, Humans, Magnetics, Molecular Imaging, Nanoparticles, Phantoms, Imaging, Signal-To-Noise Ratio, Journal Article",
author = "{von Gladiss}, A and M Graeser and P Szwargulski and T Knopp and Buzug, {T M}",
year = "2017",
month = may,
day = "7",
doi = "10.1088/1361-6560/aa5340",
language = "English",
volume = "62",
pages = "3392--3406",
journal = "PHYS MED BIOL",
issn = "0031-9155",
publisher = "IOP Publishing Ltd.",
number = "9",

}

RIS

TY - JOUR

T1 - Hybrid system calibration for multidimensional magnetic particle imaging

AU - von Gladiss, A

AU - Graeser, M

AU - Szwargulski, P

AU - Knopp, T

AU - Buzug, T M

PY - 2017/5/7

Y1 - 2017/5/7

N2 - Magnetic particle imaging visualizes the spatial distribution of superparamagnetic nanoparticles. Because of its key features of excellent sensitivity, high temporal and spatial resolution and biocompatibility of the tracer material it can be used in multiple medical imaging applications. The common reconstruction technique for Lissajous-type trajectories uses a system matrix that has to be previously acquired in a time-consuming calibration scan, leading to long downtimes of the scanning device. In this work, the system matrix is determined by a hybrid approach. Using the hybrid system matrix for reconstruction, the calibration downtime of the scanning device can be neglected. Furthermore, the signal to noise ratio of the hybrid system matrix is much higher, since the size of the required nanoparticle sample can be chosen independently of the desired voxel size. As the signal to noise ratio influences the reconstruction process, the resulting images have better resolution and are less affected by artefacts. Additionally, a new approach is introduced to address the background signal in image reconstruction. The common technique of subtraction of the background signal is replaced by extending the system matrix with an entry that represents the background. It is shown that this approach reduces artefacts in the reconstructed images.

AB - Magnetic particle imaging visualizes the spatial distribution of superparamagnetic nanoparticles. Because of its key features of excellent sensitivity, high temporal and spatial resolution and biocompatibility of the tracer material it can be used in multiple medical imaging applications. The common reconstruction technique for Lissajous-type trajectories uses a system matrix that has to be previously acquired in a time-consuming calibration scan, leading to long downtimes of the scanning device. In this work, the system matrix is determined by a hybrid approach. Using the hybrid system matrix for reconstruction, the calibration downtime of the scanning device can be neglected. Furthermore, the signal to noise ratio of the hybrid system matrix is much higher, since the size of the required nanoparticle sample can be chosen independently of the desired voxel size. As the signal to noise ratio influences the reconstruction process, the resulting images have better resolution and are less affected by artefacts. Additionally, a new approach is introduced to address the background signal in image reconstruction. The common technique of subtraction of the background signal is replaced by extending the system matrix with an entry that represents the background. It is shown that this approach reduces artefacts in the reconstructed images.

KW - Algorithms

KW - Calibration

KW - Humans

KW - Magnetics

KW - Molecular Imaging

KW - Nanoparticles

KW - Phantoms, Imaging

KW - Signal-To-Noise Ratio

KW - Journal Article

U2 - 10.1088/1361-6560/aa5340

DO - 10.1088/1361-6560/aa5340

M3 - SCORING: Journal article

C2 - 28378709

VL - 62

SP - 3392

EP - 3406

JO - PHYS MED BIOL

JF - PHYS MED BIOL

SN - 0031-9155

IS - 9

ER -