Flow velocity quantification by exploiting the principles of the Doppler effect and magnetic particle imaging
Scientific Reports, vol. 11, pp. 4529
Abstract
Changes in blood flow velocity play a crucial role during pathogenesis and progression of cardiovascular diseases. Imaging techniques capable of assessing flow velocities are clinically applied but are often not accurate, quantitative, and reliable enough to assess fine changes indicating the early onset of diseases and their conversion into a symptomatic stage. Magnetic particle imaging (MPI) promises to overcome these limitations. Existing MPI-based techniques perform velocity estimation on the reconstructed images, which restricts the measurable velocity range. Therefore, we developed a novel velocity quantification method by adapting the Doppler principle to MPI. Our method exploits the velocity-dependent frequency shift caused by a tracer motion-induced modulation of the emitted signal. The fundamental theory of our method is deduced and validated by simulations and measurements of moving phantoms. Overall, our method enables robust velocity quantification within milliseconds, with high accuracy, no radiation risk, no depth-dependency, and extended range compared to existing MPI-based velocity quantification techniques, highlighting the potential of our method as future medical application.
Authors 5
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Dennis Pantke corresponding Aachen Department of Physics of Molecular Imaging Institute for Experimental Molecular Imaging
Affiliation as printed
Department of Physics of Molecular Imaging, Institute for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany. dennis.pantke@pmi.rwth-aachen.de
Department of Physics of Molecular Imaging, Institute for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany
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Florian Mueller Aachen Department of Physics of Molecular Imaging Institute for Experimental Molecular Imaging
Affiliation as printed
Department of Physics of Molecular Imaging, Institute for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Department of Diagnostic and Interventional Radiology, Uniklinik RWTH Aachen, Aachen, Germany
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Fraunhofer Institute for Digital Medicine · RWTH Aachen University
Affiliation as printed
Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
Institute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen University, Aachen, Germany
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Volkmar Schulz corresponding Aachen Department of Physics of Molecular Imaging Institute for Experimental Molecular Imaging III. Physikalisches Institut B
Fraunhofer Institute for Digital Medicine · RWTH Aachen University
Affiliation as printed
Department of Physics of Molecular Imaging, Institute for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany. volkmar.schulz@pmi.rwth-aachen.de
Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany. volkmar.schulz@pmi.rwth-aachen.de
III. Physikalisches Institut B, RWTH Aachen University, Aachen, Germany. volkmar.schulz@pmi.rwth-aachen.de
Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
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