F
Frank F.J. Simonis
Researcher at University of Twente
Publications - 21
Citations - 344
Frank F.J. Simonis is an academic researcher from University of Twente. The author has contributed to research in topics: Medicine & Imaging phantom. The author has an hindex of 7, co-authored 14 publications receiving 195 citations. Previous affiliations of Frank F.J. Simonis include Eindhoven University of Technology & Utrecht University.
Papers
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Journal ArticleDOI
Low‐field MRI: An MR physics perspective
TL;DR: The current state‐of‐the‐art of low‐field systems (defined as 0.25–1T), both with respect to its low cost, low foot‐print, and subject accessibility and how low field could potentially benefit from many of the developments that have occurred in higher‐field MRI are described.
Journal ArticleDOI
Quantitative T2 mapping of the mouse heart by segmented MLEV phase-cycled T2 preparation
Bram F. Coolen,Bram F. Coolen,Frank F.J. Simonis,Frank F.J. Simonis,Tessa Geelen,Rik P. M. Moonen,Fatih Arslan,Leonie E. M. Paulis,Leonie E. M. Paulis,Klaas Nicolay,Gustav J. Strijkers +10 more
TL;DR: A high‐quality, reproducible, multi‐slice T2‐mapping protocol for the mouse heart is presented and it is shown that T2 mapping for mouse heart beating is reproducible and scalable.
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Underestimation of pelvic organ prolapse in the supine straining position, based on magnetic resonance imaging findings.
Anique T. M. Grob,Judith olde Heuvel,Jurgen J. Fütterer,Jurgen J. Fütterer,Diana Massop,Angelique L. Veenstra van Nieuwenhoven,Frank F.J. Simonis,Carl H. van der Vaart +7 more
TL;DR: Upright MRI scanning of patients with POP grade ≥ 2 both at rest and during straining shows a significantly larger extent of the prolapse than that observed during supine straining.
Journal ArticleDOI
Improving the arterial input function in dynamic contrast enhanced MRI by fitting the signal in the complex plane
TL;DR: A comprehensive model, which uses complex data instead of either magnitude or phase, was developed to improve AIF estimation and found it to be very challenging to accurately estimate the AIF using MR.
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Validating subject-specific RF and thermal simulations in the calf muscle using MR-based temperature measurements
TL;DR: This research focuses on the accuracy of thermal simulations in human subjects during an MR exam, which is fundamental information in that debate to translate the safety restrictions on MR scanners from specific absorption rate (SAR) to thermal dose.