Flow velocity quantification by exploiting the principles of the Doppler effect and magnetic particle imaging

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 t...

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Autores principales:	Dennis Pantke, Florian Mueller, Sebastian Reinartz, Fabian Kiessling, Volkmar Schulz
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7320fedfd0824f70a0b511824455ef2a
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spelling	oai:doaj.org-article:7320fedfd0824f70a0b511824455ef2a2021-12-02T11:37:27ZFlow velocity quantification by exploiting the principles of the Doppler effect and magnetic particle imaging10.1038/s41598-021-83821-w2045-2322https://doaj.org/article/7320fedfd0824f70a0b511824455ef2a2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83821-whttps://doaj.org/toc/2045-2322Abstract 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.Dennis PantkeFlorian MuellerSebastian ReinartzFabian KiesslingVolkmar SchulzNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dennis Pantke Florian Mueller Sebastian Reinartz Fabian Kiessling Volkmar Schulz Flow velocity quantification by exploiting the principles of the Doppler effect and magnetic particle imaging
description	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.
format	article
author	Dennis Pantke Florian Mueller Sebastian Reinartz Fabian Kiessling Volkmar Schulz
author_facet	Dennis Pantke Florian Mueller Sebastian Reinartz Fabian Kiessling Volkmar Schulz
author_sort	Dennis Pantke
title	Flow velocity quantification by exploiting the principles of the Doppler effect and magnetic particle imaging
title_short	Flow velocity quantification by exploiting the principles of the Doppler effect and magnetic particle imaging
title_full	Flow velocity quantification by exploiting the principles of the Doppler effect and magnetic particle imaging
title_fullStr	Flow velocity quantification by exploiting the principles of the Doppler effect and magnetic particle imaging
title_full_unstemmed	Flow velocity quantification by exploiting the principles of the Doppler effect and magnetic particle imaging
title_sort	flow velocity quantification by exploiting the principles of the doppler effect and magnetic particle imaging
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/7320fedfd0824f70a0b511824455ef2a
work_keys_str_mv	AT dennispantke flowvelocityquantificationbyexploitingtheprinciplesofthedopplereffectandmagneticparticleimaging AT florianmueller flowvelocityquantificationbyexploitingtheprinciplesofthedopplereffectandmagneticparticleimaging AT sebastianreinartz flowvelocityquantificationbyexploitingtheprinciplesofthedopplereffectandmagneticparticleimaging AT fabiankiessling flowvelocityquantificationbyexploitingtheprinciplesofthedopplereffectandmagneticparticleimaging AT volkmarschulz flowvelocityquantificationbyexploitingtheprinciplesofthedopplereffectandmagneticparticleimaging
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Flow velocity quantification by exploiting the principles of the Doppler effect and magnetic particle imaging

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