A device for measuring the trajectory dependent magnetic particle performance for MPI

Graeser, Matthias; Ahlborg, Mandy; Behrends, André; Bente, Klaas; Bringout, Gaël; Debbeler, Christina; Gladis, Anselm von; Gräfe, Ksenija; Kaethner, Christian; Kaufmann, Steffen; Lüdtke‐Buzug, Kerstin; Medimagh, Hanne; Stelzner, Jan; Weber, Matthias; Buzug, Thorsten M.

doi:10.1109/iwmpi.2015.7107078

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…Recently, a novel device has been introduced by Graeser et al (2015) and Graeser et al (2016) that enhances the spectrometry for magnetic particles. The trajectory analysis particle spectrometer (TAPAS) is able to apply multidimensional excitation to the sample chamber.…”

Section: Introductionmentioning

confidence: 99%

Hybrid system calibration for multidimensional magnetic particle imaging

et al. 2017

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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 Institute of Physics and Engineering in MedicineOriginal content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. 4 These authors contributed equally to this work. extending the system matrix with an entry that represents the background. It is shown that this approach reduces artefacts in the reconstructed images.

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Section: Introductionmentioning

confidence: 99%

Hybrid system calibration for multidimensional magnetic particle imaging

et al. 2017

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“…It is necessary to accommodate the bandwidth of the spectrum analyzer as the noise is proportionate to the bandwidth. Therefore, the above formula can be written for the bandwidth of 1 Hz as: = 10 log 10 ( ) − 10 log 10 ( ) − 174 (11) In the next section, the system design and the measurement setup is explained.…”

Section: Theory For Op Amp Based Lnamentioning

confidence: 99%

“…In addition, many new MPI image reconstruction approaches have been introduced relating to frequency space and x-space [9,10]. Furthermore, there has been an immense development in the field of magnetic particle spectroscopy (MPS) which is a vital tool for characterization of the SPIONs used in MPI [6,11]. For the implementation of MPI or MPS, the hardware is divided into two parts, namely the send chain and the receive chain.…”

Section: Introductionmentioning

confidence: 99%

A Summing Configuration based Low Noise Amplifier for MPI and MPS

Malhotra

Buzug

2018

Current Directions in Biomedical Engineering

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Magnetic particle imaging (MPI) is a novel tomographic imaging modality which uses static and dynamic magnetic fields to measure the magnetic response generated by superparamagnetic iron oxide nanoparticles (SPIONs). For the characterization of the SPIONs magnetic particle spectroscopy (MPS) is used. In the current research, a low noise amplifier (LNA) suitable for MPI and MPS is presented. LNA plays a significant role in the receive chain of MPI and MPS by amplifying the signals from the nanoparticles while keeping the noise induced through its own circuitry minimal. The LNA is based on the summing configuration and fabricated on a printed circuit board (PCB). Moreover, the prototyped LNA is compared with a commercially available pre-amplifier. The input voltage noise of the prototyped LNA with a receiving coil of series resistance of 0.551 mΩ and an inductance of 130 μH is 561 pV/√Hz with a noise figure (NF) of 11.57 dB.

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Contribution of brownian rotation and particle assembly polarisation to the particle response in magnetic particle spectrometry

Gladiss

Graeser

Lüdtke‐Buzug

et al. 2015

Current Directions in Biomedical Engineering

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The spectrometry of super-paramagnetic iron-oxide nanoparticles is a central tool for characterising particles that are used in Magnetic Particle Imaging. In Magnetic Particle Imaging, nanoparticles are excited by a magnetic field and the particle response is measured. Until now, the influence of the trajectory sequence on the dynamic particle relaxation has not been scoped. With a multi-dimensional Magnetic Particle Spectrometer, analysing the behaviour of different trajectories on the particles becomes possible. In this paper, the contribution of Brownian rotation and assembly polarisation on the particle signal is being analysed.

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A device for measuring the trajectory dependent magnetic particle performance for MPI

Cited by 3 publications

References 5 publications

Hybrid system calibration for multidimensional magnetic particle imaging

Hybrid system calibration for multidimensional magnetic particle imaging

A Summing Configuration based Low Noise Amplifier for MPI and MPS

Contribution of brownian rotation and particle assembly polarisation to the particle response in magnetic particle spectrometry

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