Feasibility of a fast method for B1-inhomogeneity correction for FSPGR sequences

Magn Reson Imaging. 2015 Apr;33(3):312-8. doi: 10.1016/j.mri.2014.10.008. Epub 2014 Nov 11.

Abstract

The Fast Spoiled Gradient Echo (FSPGR) sequence is often used in MRI to create T1-weighted images. The signal intensity generated by this sequence depends on the applied flip angle. Knowing the correct flip angle is essential for the determination of T1-maps by means of an FSPGR based Variable Flip Angle (VFA) approach. Also, quantitatively determining the concentration of contrast agent in case of Dynamic Contrast Enhanced MRI (DCE-MRI) requires knowledge of the applied flip angle. In both cases, the B1-field (in)homogeneity significantly affects the results. In this paper, we present a new method to obtain both the T1-map and B1-inhomogeneity map using scans that can each be acquired within a breath-hold. We combine two short sequences for T1 quantification: Variable Flip Angle and Look-Locker (LL). The T1-maps obtained from the LL data were used to estimate the B1-inhomogeneity inherently present in the VFA data, which was then used to correct for the VFA method's inaccurate flip angles. This way, a reliable T1-map could be computed, which was validated using both in vitro and in vivo scans. The in vitro results show that the procedure yields a substantially smaller mean deviation in T1 from the T1 measurement's gold standard (the Inversion Recovery method), while the in vivo results show both a more accurate estimation of T1 and a reduction of the influence of the B1-inhomogeneity on the signal intensity.

Keywords: B1-inhomogeneity correction; Look–Locker; T1-mapping; Variable flip angle.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Computer Simulation
  • Contrast Media / chemistry
  • Feasibility Studies
  • Healthy Volunteers
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Likelihood Functions
  • Magnetic Resonance Imaging / methods*
  • Male
  • Phantoms, Imaging
  • Respiration
  • Software

Substances

  • Contrast Media