nach oben

Magnetic Resonance Materials in Physics, Biology and Medicine

Erschienen in:

21.12.2023 | Research Article

Field camera input to virtual phantom (ViP) scanner acquisitions for quality assurance of derived MRI quantities: first implementation and proof-of-principle

verfasst von: Peter David Gatehouse, Gabriella Captur, Sonia Nielles-Vallespin, Dudley John Pennell

Erschienen in: Magnetic Resonance Materials in Physics, Biology and Medicine | Ausgabe 2/2024

Einloggen, um Zugang zu erhalten

Abstract

Introduction

Quality assurance (QA) of measurements derived from MRI can require complicated test phantoms. This work introduces a new QA concept using gradient and transmit RF recordings by a limited field camera (FC) to govern the previous Virtual Phantom (ViP) method. The purpose is to describe the first technical implementation of combined FC+ViP, and illustrate its performance in examples, including quantitative first-pass myocardial perfusion.

Materials and methods

The new QA concept starts with a synthetic test object (STO) representing some arbitrary test input. Using recordings of the unmodified standard sequence by a gradient and RF waveform camera (FC), ViP calculates by Bloch simulation the continuous RF signal emitted by the STO during this sequence (hence FC+ViP). During nominally identical repetition of the sequence acquisition, ViP transmits the RF signal for scanner reception, reconstruction and any further parametric derivations by the unmodified standard scanner image reconstruction and analysis software.

Results

The scanner outputs were compared against the input STOs.

Conclusion

First proof-of-principle was discussed and supported by correlation between scanner outputs and the input STO. The work makes no claim that its examples are valid QA methods. It concludes by proposing a new industrial standard for QA without the FC.

Nur mit Berechtigung zugänglich

Cashmore MT, McCann AJ, Wastling SJ, McGrath C, Thornton J, Hall MG (2021) Clinical quantitative MRI and the need for metrology. Br J Radiol 94:20201215CrossRefPubMedPubMedCentral

Keenan KE, Ainslie M, Barker AJ, Boss MA, Cecil KM, Charles C, Chenevert TL, Clarke L, Evelhoch JL, Finn P, Gembris D, Gunter JL, Hill DLG, Jack CR Jr, Jackson EF, Liu G, Russek SE, Sharma SD, Steckner M, Stupic KF, Trzasko JD, Yuan C, Zheng J (2018) Quantitative magnetic resonance imaging phantoms: a review and the need for a system phantom. Magn Res Med 79:48–61CrossRef

Captur G, Gatehouse P, Keenan KE, Heslinga FG, Bruehl R, Prothmann M, Graves MJ, Eames RJ, Torlasco C, Benedetti G, Donovan J, Ittermann B, Boubertakh R, Bathgate A, Royet C, Pang W, Nezafat R, Salerno M, Kellman P, Moon JC (2016) A medical device-grade T1 and ECV phantom for global T1 mapping quality assurance—the T1 mapping and ECV standardization in cardiovascular magnetic resonance (T1MES) program. JCMR 18:58

Chiribiri A, Schuster A, Ishida M, Hautvast G, Zarinabad N, Morton G, Otton J, Plein S, Breeuwer M, Batchelor P, Schaeffter T, Nagel E (2013) Perfusion phantom: an efficient and reproducible method to simulate myocardial first-pass perfusion measurements with cardiovascular magnetic resonance. Magn Res Med 69:698–707CrossRef

Stupic KF, Ainslie M, Boss MA, Charles C, Dienstfrey AM, Evelhoch JL, Finn P, Gimbutas Z, Gunter JL, Hill DLG, Jack CR, Jackson ED, Karaulanov T, Keenan KE, Liu G, Martin MN, Prasad PV, Rentz NS, Yuan C, Russek SE (2021) A standard system phantom for magnetic resonance imaging. Magn Res Med 86:1194–1211CrossRef

Gadda G, Cocozza S, Gambaccini M, Taibi A, Tedeschi E, Zamboni P, Palma G (2021) NO-HYPE: a novel hydrodynamic phantom for the evaluation of MRI flow measurements. Med and Biol Eng and Comput 59:1889–1899CrossRef

Swailes NE, MacDonald ME, Frayne R (2011) Dynamic phantom with heart, lung and blood motion for initial validation of MRI techniques. JMRI 34:941–946CrossRefPubMed

Saint-Jalmes H, Eliat P, Bezy-Wendling J, Bordelois A, Gambarota G (2014) ViP MRI: virtual phantom magnetic resonance imaging. Magn Reson Mater Phy 27:419–424CrossRef

Salvati R, Hitti E, Bellanger J-J, Saint-Jalmes H, Gambarota G (2015) Fat ViP MRI: virtual phantom magnetic resonance imaging of water-fat systems. MRI. https://doi.org/10.1016/j.mri.2015.12.002CrossRef

10.

Saint-Jalmes H, Bordelois A, Gambarota G (2018) Virtual phantom magnetic resonance imaging (ViP MRI) on a clinical MRI platform. Med Phys 45:250–257CrossRefPubMed

11.

Barantin L, Le Pape A, Akoka S (1997) A new method for absolute quantitation of MRS metabolites. Magn Reson Med 38:179–182CrossRefPubMed

12.

Dietrich BE, Brunner DO, Wilm BJ, Barmet C, Gross S, Kasper L, Haeberlin M, Schmid T, Vannesjo SJ, Pruessmann KP (2016) A field camera for MR sequence monitoring and system analysis. Magn Res Med 75:1831–1840CrossRef

13.

Brunner DO, Dietrich BE, Çavuşoğlu M, Wilm BJ, Schmid T, Gross S, Barmet C, Pruessmann KP (2015) Concurrent recording of RF pulses and gradient fields—comprehensive field monitoring for MRI. NMR Biomed 29:1162–1172CrossRefPubMed

14.

Pedersen JO, Hanson CG, Xue R, Hanson LG (2018) General purpose electronics for real-time processing and encoding of non-MR data in MR acquisitions. Concepts Magn Reson Part B 48:e21385CrossRef

15.

Senaj V, Guillot G, Darrasse L (1998) Inductive measurement of magnetic field gradients for magnetic resonance imaging. Rev Sci Instrum 69:2400CrossRef

16.

Sipilä PT (2011) Real-time magnetic field monitoring in magnetic resonance imaging. Doktors-Ingenieur (Dr.-Ing.) Thesis, Technischen Universität München

17.

Benoit-Cattin H, Collewet G, Belaroussi B, Saint-Jalmes H, Odet C (2005) The SIMRI project: a versatile and interactive MRI simulator. J Magn Reson 173(1):97–115. https://doi.org/10.1016/j.jmr.2004.09.027CrossRefPubMed

18.

Zur Y, Wood ML, Neuringer LJ (1991) Spoiling of transverse magnetisation in steady-state sequences. Magn Reson Med 21:251–263CrossRefPubMed

19.

Hennig J (1991) Echoes-how to generate, recognize, use or avoid them in MR imaging sequences. Part II: Echoes in imaging sequences. Conc MR. https://doi.org/10.1002/CMR.1820030402CrossRef

20.

Jerosch-Herold M, Wilke N, Stillman AE (1998) Magnetic resonance quantification of the myocardial perfusion reserve with a Fermi function model for constrained deconvolution. Med Phys 25:73–84CrossRefPubMed

21.

Larsson HBW, Fritz-Hansen T, Rostrup E, Serndergaard L, Ring P, Henriksen O (1996) Myocardial perfusion modeling using MRI. Magn Reson Med 35:716–726CrossRefPubMed

22.

Cernicanu A, Axel L (2006) Theory-based signal calibration with single-point T1 measurements for first-pass quantitative perfusion MRI studies. Acad Radiol 13:686–693CrossRefPubMed

23.

Twieg DB, Katz J, Peshock RM (1987) A general treatment of NMR imaging with chemical shift and motion. Magn Res Med 5:32–46CrossRef

24.

Wedeen VJ, Wendt RE, Jerosch-Herold M (1989) Motional phase artefacts in Fourier transform MRI. Magn Res Med 11:114–120CrossRef

25.

Gatehouse PD (1998) NMR imaging of rapid blood flow. PhD thesis. University of London

26.

Buoso S, Joyce T, Schulthess N, Kozerke S (2023) MRXCAT2.0: synthesis of realistic numerical phantoms by combining left-ventricular shape learning, biophysical simulations and tissue texture generation. J Cardiov Magn Reson 25:25CrossRef

27.

Weine J, McGrath C, Kozerke S (2023) CMRsim—a Python package for MRI simulations incorporating complex organ motion and flow. ISMRM2023:2393

28.

Kennedy M, Lee Y, Nagy Z (2018) An industrial design solution for integrating NMR magnetic field sensors into an MRI scanner. Magn Reson Med 80:833–839CrossRefPubMed

29.

Sung K, Nayak KS (2008) Design and use of tailored hard-pulse trains for uniform saturation of myocardium at 3 Tesla. Magn Reson Med 60:997–1002CrossRefPubMed

Titel: Field camera input to virtual phantom (ViP) scanner acquisitions for quality assurance of derived MRI quantities: first implementation and proof-of-principle
verfasst von: Peter David Gatehouse
Gabriella Captur
Sonia Nielles-Vallespin
Dudley John Pennell
Publikationsdatum: 21.12.2023
Verlag: Springer International Publishing
Erschienen in: Magnetic Resonance Materials in Physics, Biology and Medicine / Ausgabe 2/2024
Print ISSN: 0968-5243
Elektronische ISSN: 1352-8661
DOI: https://doi.org/10.1007/s10334-023-01136-5

Update Radiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Die Highlights vom Kongress des American College of Cardiology 2024

Springer Medizin

Field camera input to virtual phantom (ViP) scanner acquisitions for quality assurance of derived MRI quantities: first implementation and proof-of-principle

Abstract

Introduction

Materials and methods

Results

Conclusion

Neu im Fachgebiet Radiologie

Darf man die Behandlung eines Neonazis ablehnen?

Ein Drittel der jungen Ärztinnen und Ärzte erwägt abzuwandern

Endlich: Zi zeigt, mit welchen PVS Praxen zufrieden sind

Akuter Schwindel: Wann lohnt sich eine MRT?

Update Radiologie

Die Highlights vom Kongress des American College of Cardiology 2024

Springer Medizin

Abstract

Introduction

Materials and methods

Results

Conclusion

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 2/2024

Cross2SynNet: cross-device–cross-modal synthesis of routine brain MRI sequences from CT with brain lesion

STEAM-SASHA: a novel approach for blood- and fat-suppressed native T1 measurement in the right ventricular myocardium

Nonuniform sliding-window reconstruction for accelerated dual contrast agent quantification with MR fingerprinting

Fast online spectral-spatial pulse design for subject-specific fat saturation in cervical spine and foot imaging at 1.5 T

Automatic segmentation of the interscapular brown adipose tissue in rats based on deep learning using the dynamic magnetic resonance fat fraction images

Late/delayed gadolinium enhancement in MRI after intravenous administration of extracellular gadolinium-based contrast agents: is it worth waiting?

Neu im Fachgebiet Radiologie

Darf man die Behandlung eines Neonazis ablehnen?

Ein Drittel der jungen Ärztinnen und Ärzte erwägt abzuwandern

Endlich: Zi zeigt, mit welchen PVS Praxen zufrieden sind

Akuter Schwindel: Wann lohnt sich eine MRT?

Update Radiologie