Anshuman Panda1, Clinton E Jokerst1, Kristopher W Cummings1, and Prasad M Panse1
1Radiology, Mayo Clinic, Scottsdale, AZ, United States
Synopsis
Inter-scanner T1 and T2 measurement variability was evaluated on two 3T scanners with identical hardware and software configuration to identify the most robust combination of sequence, parameters
and post-processing that produces accurate measurement and to establish confidence
intervals for T1 and T2 measurements for in-vivo studies by incorporating
“native” inter-scanner variability.
Introduction
The purpose of the study was to evaluate variability in T1
and T2 measurements performed at two scanners with identical hardware and
software configuration using known reference (ISMRM/NIST phantom) to understand
how these measurements change with sequence/parameter choices and
post-processing algorithm. The goal was two-fold: 1) identify the most robust
combination of sequence, parameters and post-processing that produces accurate measurement,
and 2) establish confidence intervals for T1 and T2 measurements for in-vivo
studies by incorporating “native” inter-scanner variability.
Methods
The scans were performed on two Siemens MAGNETOM Skyra - 3T (64ch,
XQ gradient, TimTX TrueShape) scanner and VE11B
software version (Siemens Healthcare, Erlangen, Germany) using a 20-ch Head/Neck
coil. The ISMRM/NIST MRI system phantom was used as “gold-standard” T1 and T2 reference [1].
Conventional NIST recommended inversion-recovery spin echo and spin echo sequence
parameters were used to characterize the T1 and T2 values in the phantom. Additionally,
vendor provided “clinical” T1 and T2 mapping sequence scans were also performed
with the following parameters: T1 Mapping - True-FISP (MOLLI), FOV 250, slice
thickened 8 mm, TR 300 ms, TE 1.28 ms , and T2 Mapping - Turbo flash (SSFP);
FOV 250; slice thickness 8 mm; TR 223, ms; TE 1.5 ms. Finally, the T1 and T2 measurements
were generated using two separate post-processing algorithms, the scanner inline
post-processing algorithm and CVI42 (Circle cardiovascular imaging), for comparison. The values were temperature
corrected, and ROI contours were exactly copied between the images to eliminate
any inter and intra-observer variability. Results
Figure 1 shows phantom
description from NIST, scanner setup and slices from scanners 1 and 2
respectively with ROIs for T1 and T2 measurements. The measurements were performed using the scanner inline and CVI 42 post-processing algorithms for both scanners. A large variability was observed for both higher
(vials 1, 2) and lower (vials 10-14) T1 and T2 measurements. Hence only
measurements from vials 3 -9 were included in the final analysis. Average variability
of 3.8% and 20% was observed for scanner 1 T1 measurements when compared to T1
NIST reference for scanner inline and CVI 42 post-processing, respectively. For
T2 measurement for scanner 1, average variability of 22.9% and 16.7% was
observed. For scanner 2, average variability of 2.9% and 18.1% was observed for
scanner 1 T1 measurements for scanner inline and CVI 42 post-processing, respectively.
For T2 measurement for scanner 2, average variability of 18.1% and 18% was
observed. Inter-scanner variability between scanner 1 and 2 was observed to be
1.1%, using scanner inline, and 2.64%, using CV1, for T1 measurements and 39.5%,
using scanner inline, and 35.8%, using CV1, for T2 measurements.Discussion
T1 measurements correlated well with the NIST reference
values for both scanners for in-line processing, with less than 1% inter-scanner
variability. However, the measurement showed significantly higher variability
(~20%) when using CVI 42 post processing. For T2 measurements, even with identical
hardware configure and same acquisition parameter/sequences, significant variability
(~18%) was observed between scanners irrespective of scanner inline or CVI 42
post-processing algorithm. Conclusion
Scanner hardware, acquisition parameters/sequences, and
post-processing algorithms should all be evaluated individually for each
scanner to determine variability in T1 and T2 measurements. Different
combination of these is demonstrated here to produce significant different measurements for the same
acquisition. In particular, the choice of post-processing algorithm was found to
be equally critical for these measurements. T1 measurements were observed to be
more robust and consistent than T2 measurements. It is therefore recommended to
evaluate each combination of hardware, acquisition parameters/sequences, and
post-processing methods before establishing clinical baselines, particular for
T2 values. Acknowledgements
No acknowledgement found.References
1. Russek, S et al. "Characterization of NIST/ISMRM MRI System Phantom" ISMRM 20th Annual Meeting and Exhibition: May 5–11 2012 2012; Melbourne, Australia. 2012. p. 2456.
2. Keenan, K et al. “Standardized Phantoms for Quantitative Cardiac MRI.” Journal of Cardiovascular Magnetic Resonance 17.Suppl 1 (2015): W36. PMC. Web. 10 Nov. 2016.