Surveillance MPI Scanner for Stroke Detection on the Intensive Care Stroke Unit

Scientists at the Technical University of Hamburg (TUHH) and the University Hospital Hamburg-Eppendorf (UKE) have developed a new diagnostic tomographic imaging system that enables access to cerebral blood flow at short intervals and thus quickly indicates a possible stroke. The study "Human-sized Magnetic Particle Imaging for Brain Applications" was published on the 26th of April 2019 in the renowned journal Nature Communications.

On the road to full real-time 3D imaging using approved clinical tracers, the MPI scanner has been extensively upgraded from 2019 to 2023. Several publications document the process and highlight the development of new components, like the study "Heat it up: Thermal stabilization by active heating to reduce impedance drifts in capacitive matched networks", "Gradient power reducing using pulsed selection-field sequences" or "Resonant inductive coupling network for human-sized magnetic particle imaging". A thorough exploration is presented in "System characterization of a human-sized 3D real-time magnetic particle imaging scanner for cerebral applications".

Prof. Tobias Knopp and Dr. Matthias Gräser with the surveillance imager

Project Publications

[145073]
Title: A Flexible High-Performance Signal Generation and Digitization Plattform based on Low-Cost Hardware.
Written by: N. Hackelberg, J. Schumacher, M. Graeser, and T. Knopp
in: <em>International Journal on Magnetic Particle Imaging</em>. (2022).
Volume: <strong>8</strong>. Number: (1),
on pages: 1-4
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DOI: 10.18416/IJMPI.2022.2203063
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/375
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Note: inproceedings, brainimager, software, other

Abstract: Modern imaging modalities, such as magnetic particle imaging (MPI), are based on complex sequences which require synchronous multi-channel signal generation and reception. The component of an MPI scanner responsible for this functionality is the data acquisition (DAQ) system. Different scanner topologies and the nature of (digital) signal processing impose varying requirements on such a system. In this work, we introduce the RedPitayaDAQServer project, which implements a flexible scalable DAQ system. It is based on the low-cost hardware RedPitaya STEMlab 125-14 and is able to meet the requirements of most MPI scanner concepts that have been proposed to date.