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

[120378]
Title: Determining Perfusion Parameters using Magnetic Particle Imaging: A Phantom Study using a Human-Sized Flow Phantom. <em>9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)</em>
Written by: N. Gdaniec, M. Graeser, F. Thieben, P Szwargulski, F. Werner, M. Boberg, F. Griese, M. Möddel, P. Ludewig, D. van de Ven, O. M. Weber, O. Woywode, B. Gleich, and T. Knopp
in: (2019).
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on pages: 151-152
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Note: inproceedings, brainimager

Abstract: The determination of brain perfusion is an important issue for the diagnosis and treatment of vascular diseases. We designed a human-sized dynamic flow phantom mimicking the perfusion properties of the brain and used the human-sized MPI head scanner to acquire data from dynamic bolus injection experiments. A stroke was simulated by occluding one of the feeding hoses. We derived perfusion parameter maps from these data and were able to detect the simulated stroke.