MPI Flow Analysis Toolbox exploiting pulsed tracer information – an aneurysm phantom proof

Jochen Franke; Romain Lacroix; Heinrich Lehr; Michael Heidenreich; Ulrich Heinen; Volkmar Schulz

International Journal on Magnetic Particle Imaging IJMPI
Vol. 3 No. 1 (2017): Int J Mag Part Imag

Research Articles

MPI Flow Analysis Toolbox exploiting pulsed tracer information – an aneurysm phantom proof

Jochen Franke (Bruker BioSpin MRI GmbH), Romain Lacroix (GE Healthcare, Strategic Development in Advanced Applications), Heinrich Lehr (Bruker BioSpin MRI GmbH), Michael Heidenreich (Bruker BioSpin MRI GmbH), Ulrich Heinen (University of Applied Sciences Pforzheim), Volkmar Schulz (Physics of Molecular Imaging Systems, University RWTH Aachen)

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Assessment of flow parameters provides insight into (patho-)physiology and thus is a common tool in the field of cardiology to screen for or to evaluate and stage cardiovascular diseases. In this work, we present a Flow Analysis Toolbox for Magnetic Particle Imaging datasets highlighting pulsed tracer information. The presented Tool uses time as well as frequency signal processing approaches and exploits an Optical Flow analysis to extract quantitative 4D velocity vectors fields. In this work, we successfully estimate flow patterns in a nonrealistic aneurysm shaped vessel exploiting pulsed tracer information in the Flow Analysis Toolbox.

Most read articles by the same author(s)

Ulrich Heinen, Alexander Weber, Jochen Franke, Heinrich Lehr, Olaf Kosch, A versatile MPI System Function Viewer , International Journal on Magnetic Particle Imaging IJMPI: Vol. 3 No. 2 (2017)
Tim C. Kranemann, Thomas Ersepke, Jochen Franke, Thomas Friedrich, Alexander Neumann, Thorsten Buzug, Georg Schmitz, An MPI-Compatible HIFU Transducer: Experimental Evaluation of Interferences. , International Journal on Magnetic Particle Imaging IJMPI: Vol. 4 No. 2 (2018)
Franziska Schrank, Volkmar Schulz, Multi-purpose deep learning framework for MPI based on contrastive learning , International Journal on Magnetic Particle Imaging IJMPI: Vol. 9 No. 1 Suppl 1 (2023)
Martin Duša, Jochen Franke, Luděk Šefc, Vít Herynek, VOMMPI - a tool for merging of MPI multi-patch data , International Journal on Magnetic Particle Imaging IJMPI: Vol. 9 No. 1 Suppl 1 (2023)
Olaf Kosch, Ulrich Heinen, Lutz Trahms, Frank Wiekhorst, Preparing system functions for quantitative MPI , International Journal on Magnetic Particle Imaging IJMPI: Vol. 3 No. 2 (2017)
Huimin Wei, Jochen Franke, Oliver Buchholz, Andre Behrends, Sebastien Bär, Ulrich G. Hofmann, Thorsten M. Buzug, Matthias Graeser, Extending a commercial preclinical MPI scanner into an MPI-MFH platform using a hyperthermia insert , International Journal on Magnetic Particle Imaging IJMPI: Vol. 9 No. 1 Suppl 1 (2023)
Kulthisa Sajjamark, Jochen Franke, Heinrich Lehr, Rainer Pietig, Volker Niemann, Spatial selectivity enhancement in magnetic fluid hyperthermia by magnetic flux confinement , International Journal on Magnetic Particle Imaging IJMPI: Vol. 7 No. 1 (2021)
Jorge Chacon-Caldera, Heinrich Lehr, Kulthisa Sajjamark, Jochen Franke, Eigen-reconstructions: a closer look into the System Matrix , International Journal on Magnetic Particle Imaging IJMPI: Vol. 6 No. 2 Suppl 1 (2020)
Franziska Schrank, Dennis Pantke, Volkmar Schulz, Deep learning MPI super-resolution by implicit representation of the system matrix , International Journal on Magnetic Particle Imaging IJMPI: Vol. 8 No. 1 Suppl 1 (2022)
Jorge Chacon-Caldera, Heinrich Lehr, Kulthisa Sajjamark, Jochen Franke, Enhancing spatial resolution in magnetic particle imaging using eigen-reconstructions: opportunities and limitations , International Journal on Magnetic Particle Imaging IJMPI: Vol. 7 No. 2 (2021)

1 2 3 > >>

International Journal on Magnetic Particle Imaging IJMPI

Main Article Content

Abstract

Article Details

Most read articles by the same author(s)