Ilko L Maier1, Sabine Hofer2, Arun A Joseph3, K Dietmar Merboldt4, Zhengguo Tan5, Katharina Schregel6, Michael Knauth7, Mathias Bähr8, Marios-Nikos Psychogios9, Jan Liman10, Jens Frahm11. 1. Department of Neurology, University Medical Center Göttingen, Germany. Electronic address: ilko.maier@med.uni-goettingen.de. 2. Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, Göttingen, Germany. Electronic address: shofer1@gwdg.de. 3. Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, Göttingen, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Göttingen, Germany. Electronic address: arun-antony.joseph@mpibpc.mpg.de. 4. Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, Göttingen, Germany. Electronic address: kmerbol@gwdg.de. 5. Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, Göttingen, Germany. Electronic address: ztan@mpibpc.mpg.de. 6. Department of Neuroradiology, University Medical Center Göttingen, Germany; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: katharina.schregel@med.uni-goettingen.de. 7. Department of Neuroradiology, University Medical Center Göttingen, Germany. Electronic address: michael.knauth@med.uni-goettingen.de. 8. Department of Neurology, University Medical Center Göttingen, Germany. Electronic address: mbaehr@gwdg.de. 9. Department of Neuroradiology, University Medical Center Göttingen, Germany. Electronic address: m.psychogios@med.uni-goettingen.de. 10. Department of Neurology, University Medical Center Göttingen, Germany. Electronic address: jliman@gwdg.de. 11. Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, Göttingen, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Göttingen, Germany. Electronic address: jfrahm@gwdg.de.
Abstract
BACKGROUND: The assessment of carotid artery flow by neurovascular ultrasound (nvUS) can be complemented by real-time phase-contrast (RT-PC) flow MRI which apart from quantitative flow parameters offers velocity distributions across the entire vessel lumen. MATERIALS AND METHODS: The feasibility and diagnostic potential of RT-PC flow MRI was evaluated in 20 healthy volunteers in comparison to conventional nvUS. RT-PC flow MRI at 40 ms temporal resolution and 0.8 mm in-plane resolution resulted in velocity maps with low phase noise and high spatiotemporal accuracy by exploiting respective advances of a recent nonlinear inverse model-based reconstruction. Peak-systolic velocities (PSV), end-diastolic velocities (EDV), flow volumes and comprehensive velocity profiles were determined in the common, internal and external carotid artery on both sides. RESULTS: Flow characteristics such as pulsatility and individual abnormalities shown on nvUS could be reproduced and visualized in detail by RT-PC flow MRI. PSV to EDV differences revealed good agreement between both techniques, mean PSV and EDV were significantly lower and flow volumes were higher for MRI. CONCLUSION: Our findings suggest that RT-PC flow MRI adds to clinical diagnostics, e.g. by alterations of dynamic velocity distributions in patients with carotid stenosis. Lower PSV and EDV values than for nvUS mainly reflect the longer MRI acquisition time which attenuates short peak velocities, while higher flow volumes benefit from a proper assessment of the true vessel lumen.
BACKGROUND: The assessment of carotid artery flow by neurovascular ultrasound (nvUS) can be complemented by real-time phase-contrast (RT-PC) flow MRI which apart from quantitative flow parameters offers velocity distributions across the entire vessel lumen. MATERIALS AND METHODS: The feasibility and diagnostic potential of RT-PC flow MRI was evaluated in 20 healthy volunteers in comparison to conventional nvUS. RT-PC flow MRI at 40 ms temporal resolution and 0.8 mm in-plane resolution resulted in velocity maps with low phase noise and high spatiotemporal accuracy by exploiting respective advances of a recent nonlinear inverse model-based reconstruction. Peak-systolic velocities (PSV), end-diastolic velocities (EDV), flow volumes and comprehensive velocity profiles were determined in the common, internal and external carotid artery on both sides. RESULTS: Flow characteristics such as pulsatility and individual abnormalities shown on nvUS could be reproduced and visualized in detail by RT-PC flow MRI. PSV to EDV differences revealed good agreement between both techniques, mean PSV and EDV were significantly lower and flow volumes were higher for MRI. CONCLUSION: Our findings suggest that RT-PC flow MRI adds to clinical diagnostics, e.g. by alterations of dynamic velocity distributions in patients with carotid stenosis. Lower PSV and EDV values than for nvUS mainly reflect the longer MRI acquisition time which attenuates short peak velocities, while higher flow volumes benefit from a proper assessment of the true vessel lumen.
Authors: Elena Jaeger; Kristina Sonnabend; Frank Schaarschmidt; David Maintz; Kilian Weiss; Alexander C Bunck Journal: Fluids Barriers CNS Date: 2020-07-16
Authors: Francesco Secchi; Caterina Beatrice Monti; Davide Capra; Renato Vitale; Daniela Mazzaccaro; Michele Conti; Ning Jin; Daniel Giese; Giovanni Nano; Francesco Sardanelli; Massimiliano M Marrocco-Trischitta Journal: Tomography Date: 2021-09-28