Pierre-Francois Van de Moortele
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Associate Professor
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About
Pierre-Francois Van de Moortele is an Associate Professor at the University of Minnesota System in the United States. His research areas include advanced magnetic resonance imaging techniques, with a focus on ultra-high field MRI applications, signal-to-noise ratio optimization, and neuroimaging. Recent publications highlight his work on receive head arrays, spine imaging at 10.5 T, and the use of radiomics in identifying symptomatic trigeminal nerves.
Recent Grants
Grant: Close
US-French Research Proposal: Hippocampal Layers: Advanced Ccomputational Anatomy Using Very High Resolution MRI at 7 Tesla in Humans
Open Date: 2017-01-01
Close Date: 2021-07-31
Grant: Close
Institutional Center Cores for Advanced Neuroimaging
Open Date: 2012-09-30
Close Date: 2022-05-31
Grant: Close
Novel, Fast B1 Mapping with Low SAR for Multiple RF Coils at Ultra High Field
Open Date: 2011-01-01
Close Date: 2012-12-31
Grant: Close
Novel, Fast B1 Mapping with Low SAR for Multiple RF Coils at Ultra High Field
Open Date: 2011-01-01
Close Date: 2012-12-31
Grant: Close
Softwaretechnische Entwicklung von elektromagnetischen Hochfrequenzpulsen (HF-Pulse) für die Ultrahochfeld-Magneresonanztomographie (UHF-MRT) unter Verwendung von Mehrkanal-Hochfrequenz-Sendeeinheiten
Open Date: 2009-01-01
Close Date: 2014-12-31
Articles (11)
Purpose We examined magnetic field dependent SNR gains and ability to capture them with multichannel receive arrays for human head imaging in going from 7 T, the most commonly used ultrahigh magnetic field (UHF) platform at the present, to 10.5 T, which represents the emerging new frontier of >10 T in UHFs. Methods Electromagnetic (EM) models of 31‐channel and 63‐channel multichannel arrays built for 10.5 T were developed for 10.5 T and 7 T simulations. A 7 T version of the 63‐channel array with an identical coil layout was also built. Array performance was evaluated in the EM model using a phantom mimicking the size and electrical properties of the human head and a digital human head model. Experimental data was obtained at 7 T and 10.5 T with the 63‐channel array. Ultimate intrinsic SNR (uiSNR) was calculated for the two field strengths using a voxelized cloud of dipoles enclosing the phantom or the digital human head model as a reference to assess the performance of the two arrays and field depended SNR gains. Results uiSNR calculations in both the phantom and the digital human head model demonstrated SNR gains at 10.5 T relative to 7 T of 2.6 centrally, ˜2 at the location corresponding to the edge of the brain, ˜1.4 at the periphery. The EM models demonstrated that, centrally, both arrays captured ˜90% of the uiSNR at 7 T, but only ˜65% at 10.5 T, leading only to ˜2‐fold gain in array SNR in going from 7 to 10.5 T. This trend was also observed experimentally with the 63‐channel array capturing a larger fraction of the uiSNR at 7 T compared to 10.5 T, although the percentage of uiSNR captured were slightly lower at both field strengths compared to EM simulation results. Conclusions Major uiSNR gains are predicted for human head imaging in going from 7 T to 10.5 T, ranging from ˜2‐fold at locations corresponding to the edge of the brain to 2.6‐fold at the center, corresponding to approximately quadratic increase with the magnetic field. Realistic 31‐ and 63‐channel receive arrays, however, approach the central uiSNR at 7 T, but fail to do so at 10.5 T, suggesting that more coils and/or different type of coils will be needed at 10.5 T and higher magnetic fields.
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2024
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2022
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2022
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2022
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2021
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2021
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2021
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2021
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2021
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2020
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2020
Collaborators (13)
Karin Markenroth Bloch
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Bharathi D. Jagadeesan
University of Minnesota
Yigitcan Eryaman
Associate Professor
University of Minnesota
Alireza Sadeghi-Tarakameh
Assistant Professor
University of Minnesota
Edward Auerbach
Associate Professor
University of Minnesota
Shajan Gunamony
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Alexandre Vignaud
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Donald Nixdorf
University of Minnesota
Andrew Grande
University of Minnesota
Kamil Uğurbil
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Benedikt A Poser
Assistant / Associate Professor
University of Maastricht
Jutta Ellermann
Professor with Tenure
University of Minnesota
Gregory Metzger
Professor
University of Minnesota
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