Real time shimming over multiple regions across the DTI volume with motion correction using a multislab navigated DTI sequence
A Alhamud1, Ernesta M. Meintjes1, and André J.W. van der Kouwe2

1Human Biology,MRC/UCT Medical Imaging Research Unit, University of Cape Town, Cape Town, South Africa, 2Massachusetts General Hospital, Charlestown, MA, United States

Synopsis

Most DTI acquisitions are based on 2D multislice EPI sequences. The spatial distribution of the field inhomogeneity may differ from region to region within the DTI volume. While the scanner and traditional prospective shimming methods shim over the whole volume, this may not be optimal for DTI. Further, changes in the shim in different regions across DTI volume in the presence of subject motion are yet to be explored. In this work, we introduce a technique to measure and correct the changes in the static field from region to region and for different sized regions across the DTI volume

Introduction

Previously, we introduced the double volumetric navigated diffusion sequence (DvNav) (Alhamud et al., 2014) to measure and correct in real time for subject motion and B0 distortion (in terms of zero- and first order shims). Our results demonstrated that the initial shim prepared by the MRI scanner changes during the DTI acquisition. These changes may occur due to subject motion but are often present even in stationary scans. Currently, the DvNav technique performs shimming over the whole DTI volume, which may not be optimal for 2D multislice sequences.

Purpose

In the current work, we investigated, in the presence of subject motion, whether shimming parameters differ from region to region and for different sized regions across the DTI volume.

Methods

The DvNav sequence acquires two navigators with different echo times immediately after each DWI volume to reconstruct in real time two different field maps: one for the navigator volume and one for the DTI volume. For accurate motion estimation the navigator field of view (FOV) must cover the whole object being imaged. The field map of the DTI volume is generated by mapping the location of the DTI volume onto the navigator field map. Here we create a field map for groups of slices (slabs) by mapping the position of the slab onto the navigator field map. We considered slabs of different thicknesses as illustrated in Figure 1. Slab 1 includes all DTI slices (for example 73 slices). For each successive slab, two DTI slices on either end are removed. The n-th slab therefore includes the (75-2n) central DTI slices, where n=1-35. Since the thickness of each partition (slice) in the navigator is 8 mm, the thickness of the slab to be shimmed in the DTI volume has to be greater than 8 mm so that multiple field map points are available for fitting in the through-plane direction. Following the shim calculation for all slabs, the sequence receives and stores these parameters in addition to the motion estimates. The DvNavSlab sequence applies for each slice the shim values of the smallest slab that it belongs to.

All scans were performed on a Siemens Allegra 3T scanner (Siemens Healthcare, Erlangen, Germany). Two healthy subjects (25 and 30 years) were scanned with a T1W and different diffusion sequences. These include the standard twice-refocused 2D diffusion pulse sequence (Std) (Reese et al., 2003), DvNavW (W refers to shimming across the whole DTI volume) and DvNavSlab. The standard sequence was acquired without subject motion (NoMo), while in the other two scans the subjects were instructed to move (Mo) during the acquisitions. The following parameters were used for each diffusion acquisition: TR = 11163 ms, TE = 86 ms, 73 slices, matrix size 112 x 112, in-plane FOV 224 x 224 mm2, slice thickness 2 mm, 30 non-collinear diffusion gradient directions, diffusion weighting = 1000 s mm-2, eight b=0 scans. Retrospective motion correction and co-registration to the T1W image were performed using FLIRT in FSL (FMRIB Software Library; http://www.fmrib.ox.ac.uk/fsl). The DTI tensor was calculated using dtifit and a white matter (WM) mask was calculated from the T1W image using Fast segmentation.

RESULTS

Figure 2 shows the changes in the zero- and first order shims for two different slabs. Slab 1 includes all DTI slices (from 1 to 73; thickness 146 mm), while slab 30 shims over a smaller DTI volume (slices 30 to 44; thickness 30 mm). The results clearly demonstrate that the pattern of shim changes during motion differ from one region to another within the same DTI volume as indicated by arrows in Fig 2. The effects of subject motion and resulting changes in B0 on DTI data are compared for standard, DvNavW and DvNavSlab acquisitions in one subject in Figure 3. Despite motion, the FA map of the DvNavSlab acquisition shows less distortion and better alignment with T1W WM, especially in the anterior regions of the brain.

Discussion

The patterns of in-plane shim changes are similar for both slabs but with different magnitudes. However, the through-plane shim changes are different in both shape and magnitude between the two slabs and are much larger for slab 30 (~ 13 µT/m). With Slab-by-Slab shim correction, there is a more accurate DTI estimation. This is particularly apparent where the DvNavSlab acquisition showed reduced image distortion in the anterior region of the brain (Fig. 3c).

Conclusion

While the MRI scanner performs shimming over the whole DTI volume, the current study shows that shimming differs significantly between different regions in the DTI volume in the presence subject motion.

Acknowledgements

The South African Research Chairs Initiative of the Department of Science and Technology and National Research Foundation of South Africa, Medical Research Council of South Africa, NIH grants R21AA017410, R21MH096559, R01HD071664.

References

A. Alhamud, Aaron T. Hess, Paul A. Taylor, Ernesta M. Meintjes, and André J.W. van der Kouwe. Updating Shim Dynamically During Diffusion Tensor Imaging Acquisition; In: Proceedings of the 23rd Annual Meeting of ISMRM 2014; Milan, Italy.

Reese TG, Heid O, Weisskoff RM, Wedeen VJ.Reduction of eddy-current-induced distortion in diffusion MRI using a twice-refocused spin echo.Magn Reson Med. 2003;49(1):177-82.

Figures

Illustration of how slabs are defined and slab-specific shim parameters are determined by mapping the location of each slab onto the navigator field map

Comparison of zero (frequency drift, ΔF in Hz) and first order (Gx, Gy, Gz in µT/m) shim parameters for a scan with motion for two different slabs throughout 38 DWI volumes. The arrows indicate instances where motions occur. ΔF values were scaled by a factor of 10 on the plots

FA maps (0.2<FA<1) from (a) standard, (b) DvNavW, and (c) DvNavSlab acquisitions overlaid on T1W WM mask (yellow). In a, b and c yellow denotes the misalignment between each diffusion scan and the T1 image. DvNavSlab_Mo shows less geometric distortion especially in the frontal region of the brain



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
4270