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Assessment of magnetic resonance imaging scanner-dependence and software-dependence of T1 and T2 relaxation times measurements at 1.5 T

Session Poster session 2

Speaker Patrizia Pedrotti

Event : EuroCMR 2019

  • Topic : imaging
  • Sub-topic : Cardiac Magnetic Resonance: Physics and Technology
  • Session type : Poster Session

Authors : D Cicolari (Milan,IT), D Lizio (Milan,IT), P Pedrotti (Milan,IT), R Sironi (Milan,IT), MT Moioli (Milan,IT), A Lascialfari (Milan,IT), M Mariani (Pavia,IT), A Milazzo (Milan,IT), G Quattrocchi (Milan,IT), P Sormani (Milan,IT), A Torresin (Milan,IT)

Authors:
D Cicolari1 , D Lizio2 , P Pedrotti3 , R Sironi4 , MT Moioli2 , A Lascialfari1 , M Mariani5 , A Milazzo3 , G Quattrocchi3 , P Sormani3 , A Torresin2 , 1University of Milan, Physics - Milan - Italy , 2Niguarda Ca' Granda Hospital, Medical Physics - Milan - Italy , 3Niguarda Ca' Granda Hospital, Angelo De Gasperis, Department of Cardiovascular - Milan - Italy , 4Niguarda Ca' Granda Hospital, Radiology - Milan - Italy , 5University of Pavia, Physics - Pavia - Italy ,

Citation:
European Heart Journal - Cardiovascular Imaging ( 2019 ) 20 ( Supplement 2 ), ii327

Purpose 
Aim of this study was the assessment of the standardization in measuring nuclear relaxation times for 1H nuclei from post-processing of phantom images acquired with different vendor clinical magnetic resonance imaging (MRI) scanners and a NMR spectrometer.

Methods 
Six vials of an Eurospin phantom (Diagnostic Sonar, Livingston, UK) were analysed with three different scanners: a nuclear magnetic resonance (NMR) spectrometer, used for the restatement of the gold standard T1 and T2 relaxation times values at 1.5 T with SR (Saturation Recovery), IR (Inversion Recovery), SE (Spin-Echo) and CPMG (Carr-Purcell-Meiboom-Gill) sequences; a Siemens Magnetom Aera and a General Electric Signa MRI scanners, using clinical SE and IR sequences.
Images were processed by vendor independent software: Cvi42, an open source software, Segment and a manual computation of relaxation times performed using gnuplot software.

Results
Results from Cvi42 and Segment maps were comparable with those evaluated with gnuplot (discrepancy below 1%).
Gnuplot manual fit procedure allowed the measurement of real fit errors of estimated relaxation times values.
Relaxation times calculated from data acquired with the three scanners show a good agreement in the limits of experimental errors (on average, ± 3% for T1 and ± 10% for T2).

Conclusion
A good standardization level between different MRI and NMR devices and between different software for relaxation times estimation were shown.
Gnuplot analysis helped in highlighting the importance of analysing both parametric maps and SD (standard deviation) maps associated to the first ones.

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