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Image-derived mean velocity measurement for prediction of coronary flow reserve in a canonical stenosis phantom using magnetic particle imaging
by
Reinartz, Sebastian Daniel
, Dadfar, Seyed Mohammadali
, Nilius, Henning
, Mueller, Florian
, Mueller, Katrin
, Luisi, Claudio
, Straub, Marcel
, Siepmann, Robert
, Schulz, Volkmar
in
Biology and Life Sciences
/ Blood flow
/ Cardiovascular disease
/ Circuits
/ Computer and Information Sciences
/ Coronary stenosis
/ Coronary vessels
/ Diagnosis
/ Engineering and Technology
/ Evaluation
/ Flow rates
/ Flow velocity
/ Heart attacks
/ Hemodynamics
/ Image processing
/ Magnetic drive
/ Magnetic fields
/ Magnetic resonance angiography
/ Measurement
/ Medical imaging
/ Medicine and Health Sciences
/ Physical Sciences
/ Physics
/ Physiological aspects
/ Stenosis
/ Velocity
/ Velocity measurement
2021
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Image-derived mean velocity measurement for prediction of coronary flow reserve in a canonical stenosis phantom using magnetic particle imaging
by
Reinartz, Sebastian Daniel
, Dadfar, Seyed Mohammadali
, Nilius, Henning
, Mueller, Florian
, Mueller, Katrin
, Luisi, Claudio
, Straub, Marcel
, Siepmann, Robert
, Schulz, Volkmar
in
Biology and Life Sciences
/ Blood flow
/ Cardiovascular disease
/ Circuits
/ Computer and Information Sciences
/ Coronary stenosis
/ Coronary vessels
/ Diagnosis
/ Engineering and Technology
/ Evaluation
/ Flow rates
/ Flow velocity
/ Heart attacks
/ Hemodynamics
/ Image processing
/ Magnetic drive
/ Magnetic fields
/ Magnetic resonance angiography
/ Measurement
/ Medical imaging
/ Medicine and Health Sciences
/ Physical Sciences
/ Physics
/ Physiological aspects
/ Stenosis
/ Velocity
/ Velocity measurement
2021
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Image-derived mean velocity measurement for prediction of coronary flow reserve in a canonical stenosis phantom using magnetic particle imaging
by
Reinartz, Sebastian Daniel
, Dadfar, Seyed Mohammadali
, Nilius, Henning
, Mueller, Florian
, Mueller, Katrin
, Luisi, Claudio
, Straub, Marcel
, Siepmann, Robert
, Schulz, Volkmar
in
Biology and Life Sciences
/ Blood flow
/ Cardiovascular disease
/ Circuits
/ Computer and Information Sciences
/ Coronary stenosis
/ Coronary vessels
/ Diagnosis
/ Engineering and Technology
/ Evaluation
/ Flow rates
/ Flow velocity
/ Heart attacks
/ Hemodynamics
/ Image processing
/ Magnetic drive
/ Magnetic fields
/ Magnetic resonance angiography
/ Measurement
/ Medical imaging
/ Medicine and Health Sciences
/ Physical Sciences
/ Physics
/ Physiological aspects
/ Stenosis
/ Velocity
/ Velocity measurement
2021
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Image-derived mean velocity measurement for prediction of coronary flow reserve in a canonical stenosis phantom using magnetic particle imaging
Journal Article
Image-derived mean velocity measurement for prediction of coronary flow reserve in a canonical stenosis phantom using magnetic particle imaging
2021
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Overview
Aim of this study is to evaluate whether magnetic particle imaging (MPI) is capable of measuring velocities occurring in the coronary arteries and to compute coronary flow reserve (CFR) in a canonical phantom as a preliminary study.
For basic velocity measurements, a circulation phantom was designed containing replaceable glass tubes with three varying inner diameters, matching coronary-vessel diameters. Standardised boluses of superparamagnetic-iron-oxide-nanoparticles were injected and visualised by MPI. Two image-based techniques were competitively applied to calibrate the respective glass tube and to compute the mean velocity: full-duration-at-half-maximum (FDHM) and tracer dilution (TD) method. For CFR-calculation, four necessary settings of the circulation model of a virtual vessel with an inner diameter of 4 mm were generated using differently sized glass tubes and a stenosis model. The respective velocities in stenotic glass tubes were computed without recalibration.
On velocity level, comparison showed a good agreement (rFDHM = 0.869, rTD = 0.796) between techniques, preferably better for 4 mm and 6 mm inner diameter glass tubes. On CFR level MPI-derived CFR-prediction performed considerably inferior with a relative error of 20-44%.
MPI has the ability to reliably measure coronary blood velocities at rest as well as under hyperaemia and therefore may be suitable for CFR calculation. Calibration-associated accuracy of CFR-measurements has to be improved substantially in further studies.
Publisher
Public Library of Science,Public Library of Science (PLoS)
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