Benefits and Pitfalls#

It has been well reported in recent years that the accuracy of VFA T1 estimates is very sensitive to pulse sequence implementations [Stikov et al., 2015, Baudrexel et al., 2017, Lutti and Weiskopf, 2013], and as such is less robust than the gold standard inversion recovery technique. In particular, the signal bias resulting from insufficient spoiling can result in inaccurate T1 estimates of up to 30% relative to inversion recovery estimated values [Stikov et al., 2015]. VFA T1 map accuracy and precision is also strongly dependent on the quality of the measured B1 map [Lee et al., 2017], which can vary substantially between implementations [Boudreau et al., 2017]. Modern rapid B1 mapping pulse sequences are not as widely available as VFA, resulting in some groups attempting alternative ways of removing the bias from the T1 maps like generating an artificial B1 map through the use of image processing techniques [Liberman et al., 2013] or omitting B1 correction altogether [Yuan et al., 2012]. The latter is not recommended, because most MRI scanners have default pulse sequences that, with careful protocol settings, can provide B1 maps of sufficient quality very rapidly [Boudreau et al., 2017, Samson et al., 2006, Wang et al., 2005].

Despite some drawbacks, VFA is still one of the most widely used T1 mapping methods in research. Its rapid acquisition time, rapid image processing time, and widespread availability makes it a great candidate for use in other quantitative imaging acquisition protocols like quantitative magnetization transfer imaging [Cercignani et al., 2005, Yarnykh, 2002] and dynamic contrast enhanced imaging [Li et al., 2018, Sung et al., 2013].

References

1

Simon Baudrexel, Ulrike Nöth, Jan-Rüdiger Schüre, and Ralf Deichmann. T1 mapping with the variable flip angle technique: a simple correction for insufficient spoiling of transverse magnetization. Magnetic Resonance in Medicine, 79(6):3082–3092, October 2017. doi:10.1002/mrm.26979.

2(1,2)

Mathieu Boudreau, Christine L. Tardif, Nikola Stikov, John G. Sled, Wayne Lee, and G. Bruce Pike. B1 mapping for bias-correction in quantitative t1 imaging of the brain at 3t using standard pulse sequences. Journal of Magnetic Resonance Imaging, 46(6):1673–1682, March 2017. doi:10.1002/jmri.25692.

3

Mara Cercignani, Mark R. Symms, Klaus Schmierer, Philip A. Boulby, Daniel J. Tozer, Maria Ron, Paul S. Tofts, and Gareth J. Barker. Three-dimensional quantitative magnetisation transfer imaging of the human brain. NeuroImage, 27(2):436–441, August 2005. doi:10.1016/j.neuroimage.2005.04.031.

4

Yoojin Lee, Martina F. Callaghan, and Zoltan Nagy. Analysis of the precision of variable flip angle t1 mapping with emphasis on the noise propagated from RF transmit field maps. Frontiers in Neuroscience, March 2017. doi:10.3389/fnins.2017.00106.

5

Z F Li, W Zhao, T F Qi, C Gao, Q Gu, J S Zhao, and T S Koh. A simple b1correction method for dynamic contrast-enhanced MRI. Physics in Medicine and Biology, 63(16):16NT01, August 2018. doi:10.1088/1361-6560/aad519.

6

Gilad Liberman, Yoram Louzoun, and Dafna Ben Bashat. T1 mapping using variable flip angle SPGR data with flip angle correction. Journal of Magnetic Resonance Imaging, 40(1):171–180, November 2013. doi:10.1002/jmri.24373.

7

Antoine Lutti and Nikolaus Weiskopf. Optimizing the accuracy of t1 mapping accounting for rf non-linearities and spoiling characteristics in flash imaging. In Proceedings of the 21st Annual Meeting of ISMRM, Salt Lake City, Utah, USA, 2478. 2013.

8

Rebecca S. Samson, Claudia A.M. Wheeler-Kingshott, Mark R. Symms, Daniel J. Tozer, and Paul S. Tofts. A simple correction for b1 field errors in magnetization transfer ratio measurements. Magnetic Resonance Imaging, 24(3):255–263, April 2006. doi:10.1016/j.mri.2005.10.025.

9(1,2)

Nikola Stikov, Mathieu Boudreau, Ives R. Levesque, Christine L. Tardif, Joëlle K. Barral, and G. Bruce Pike. On the accuracy of t1 mapping: searching for common ground. Magnetic Resonance in Medicine, 73(2):514–522, 2015. arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.25135, doi:10.1002/mrm.25135.

10

Kyunghyun Sung, Bruce L. Daniel, and Brian A. Hargreaves. Transmit field inhomogeneity and t1 estimation errors in breast DCE-MRI at 3 tesla. Journal of Magnetic Resonance Imaging, 38(2):454–459, January 2013. doi:10.1002/jmri.23996.

11

Jinghua Wang, Maolin Qiu, and R. Todd Constable. In vivo method for correcting transmit/receive nonuniformities with phased array coils. Magnetic Resonance in Medicine, 53(3):666–674, February 2005. doi:10.1002/mrm.20377.

12

Vasily L. Yarnykh. Pulsed z-spectroscopic imaging of cross-relaxation parameters in tissues for human MRI: theory and clinical applications. Magnetic Resonance in Medicine, 47(5):929–939, April 2002. doi:10.1002/mrm.10120.

13

Jing Yuan, Steven Kwok Keung Chow, David Ka Wai Yeung, Anil T Ahuja, and Ann D King. Quantitative evaluation of dual-flip-angle t 1 mapping on dce-mri kinetic parameter estimation in head and neck. Quantitative Imaging in Medicine and Surgery, 2012. doi:10.3978/j.issn.2223-4292.2012.11.04.