Jullie W Pan1, Melissa Terpstra1, Junghwan Kim1, and Hoby P Hetherington2
1Radiology, University of Missouri Columbia, columbia, MO, United States, 2Resonance Research Inc., Billerica, MA, United States
Synopsis
Keywords: Data Acquisition, Spectroscopy, shimming
Because
of the small volumes (2 to 15cc) used in single voxel spectroscopy (SVS), field inhomogeneities
over such voxels are thought to be well managed by low order shim methods,
e.g., FAST(EST)MAP using 1st-2nd spherical harmonic shim
terms. In this report performed at 7T (Siemens Terra) we evaluate SVS from a
key region of interest (prefrontal cortex PFC) with FAST(EST)MAP in comparison
with Bolero shimming, a method that specifically manages high order shim terms.
High accuracy field maps and LCModel analysis of STEAM spectroscopy are
evaluated.
Introduction
FAST(EST)MAP is a well established
shim method1,2 for single voxel (SV) shimming that acquires susceptibility
encoded bars across the voxel to determine its 1st and 2nd
order spherical harmonic inhomogeneities. Given that the complexity of the
field variation in small voxels is thought to be correctable by up to 2nd
order spherical harmonic geometries, FAST(EST)MAP is commonly used for
spectroscopic studies. However while the field variation can be low in the
central parietal, occipital brain regions, it is very complex for other regions
e.g., the inferior anterior frontal lobe where susceptibility effects. We
previously developed a high accuracy field mapping strategy based on a
multi-echo susceptibility encoding which models the shim corrections with high
order spherical harmonic terms3,4 (Bolero analysis). Implemented
with a very high order shim (VHOS, Resonance Research Inc.) insert, this method
has been used to reliably shim large volumes at 3T and 7T (whole brain and
spectroscopic imaging slabs5,6).
In this
comparison, we hypothesize that even within a SV 20x20x20mm3 voxel
size, sizable field complexity is present, particularly in regions such as the
prefrontal cortex PFC. FAST(EST)MAP and Bolero strategies are compared using
high accuracy field maps4 to measure and shim the field for SV
spectroscopy in two key brain regions, the PFC and hippocampus HC. SV spectra
are acquired and curve fit with LCModel7,8 for comparison.Methods
Studies were performed with a
Siemens 7T Terra in pTx mode with a 8x2 transceiver array, RF shimming
performed over the whole brain. Both FAST(EST)MAP and Bolero shimming were
initiated with the same whole brain starting position. FAST(EST)MAP was
implemented using 5 iterations (1x linear, 3x linear 6 and 1x full 6). To match
the shim hardware, the multi-echo Bolero was also performed with 1st-2nd
order shimming using two field map acquisitions (i.e., one iteration). Equivalent
data were also acquired but with 1st-4th order shimming
using a very high order shim VHOS insert in a separate group of subjects. The
amount of time needed for both FAST(EST)MAP and Bolero shimming was each ~4min.
For all shim conditions, additional verification B0 maps were
acquired.
Fig. 1A
shows the typical location for study. SV STEAM acquisitions were used to assess
spectral performance, acquired at TR/TE/TM of 6sec/8ms/32ms, TA 3m39s. With the transceiver’s B1+ homogeneity at
10-15% over the entire brain9, no additional RF optimization was
used for the STEAM acquisition. The duration of the hsinc excitation pulse was
2.2msec and the applied bandwidth of water suppression 190Hz. Data were analyzed
with LCModel using the basis sets and parameters as described8. Results
Fig. 1B-E
show map data from the PFC voxel from a control subject. Not surprisingly, the
field maps after Bolero (1st–2nd; 1st–4th
order Fig. 1B,D) and FAST(EST)MAP (Fig. 1C) shimming show large field
distortion over the non-targeted regions. Closer examination of the field within
the targeted region after shimming shows there remains high order field
variation, which is more evident after 1st-2nd shimming,
either Bolero or FASTESTMAP (Fig. 1E) compared to the 1st-4th
order shimmed maps. Histograms of the residual field values show the
substantially wider distribution remaining after shimming with FAST(EST)MAP and
Bolero 1st-2nd compared with Bolero 1st-4th.
Fig. 2A-D
show the curve-fitted PFC spectra; the results are summarized in Table 1 with σB0 and ΔνLW, CRLB values for GABA and
Glutamine GLN. Even with these small group sizes, the GLN CRLB is significantly
smaller (p<0.05) for Bolero 1st-4th
group compared with the FAST(EST)MAP group. These data show that the
PFC is very challenging for shimming and appears to benefit from the advanced
shimming with Bolero mapping with or without high order shims.
An
additional observation from these data is seen in the relationship between the σB0 and ΔνLW. There is a a
significant regression between these parameters, which is not surprising
(combining all data from the PFC, R2 = 0.50, p<0.001, Fig. 3). It
is known that the linewidth Dνlw is a result of integration and fit of signal over the
entire voxel, which reflects the distribution of field inhomogeneity σB0.
With the residual inhomogeneity commonly modeled a gaussian distribution with σB0, the fitted
linewidth as defined by the FWHM of the gaussian modeled field is ΔνLW = 2.35*σB0. In these data,
the proportionality is seen more clearly in the Bolero 1st-4th
order shimmed case (Fig. 3). The basis for this observation can be seen from a histogram
plot (Fig. 2E) where the field distribution is much better described by a
single gaussian in the 1st-4th order shimmed data. Discussion/Conclusions
Comparison
of FASTESTMAP with Bolero shim strategies shows improvements for ΔνLW and CRLB values in the PFC. For Bolero, this shim analysis was performed with a single
iteration (predominantly for linear terms), with good agreement between
predicted and achieved σB0. Finally, it is
recognized that the optimization in Bolero is based on a single valued least
squares minimization. As such, with the optimization of the high degree shim
fields, the remaining field in the PFC appears to be describable as a single
gaussian thus allowing the curve fitting to proceed with a single lineshape
which should be of importance for analysis and spectral quality.Acknowledgements
This work supported by NIH R01 EB024408References
1.
Gruetter R. Automatic, localized in vivo adjustment of all first-
and second-order shim coils. Magn Reson Med. 1993 Jun;29(6):804-11. doi:
10.1002/mrm.1910290613. PMID: 8350724.
2.
Juchem C, Cudalbu C, de Graaf RA, Gruetter R,
Henning A, Hetherington HP, Boer VO. B0 shimming for in vivo
magnetic resonance spectroscopy: Experts' consensus recommendations. NMR
Biomed. 2021 May;34(5):e4350. doi: 10.1002/nbm.4350. Epub 2020 Jun 28. PMID:
32596978.
3.
Pan JW, Lo KM, Hetherington HP. Role of very high order and degree
B0 shimming for spectroscopic imaging of the human brain at 7 tesla. Magn Reson
Med. 2012 Oct;68(4):1007-17. doi: 10.1002/mrm.24122. Epub 2011 Dec 28. PMID:
22213108; PMCID: PMC3323711.
4.
Hetherington HP, Chu WJ, Gonen O, Pan JW.
Robust fully automated shimming of the human brain for high-field 1H
spectroscopic imaging. Magn Reson Med. 2006 Jul;56(1):26-33. doi:
10.1002/mrm.20941. PMID: 16767750.
5.
Tal A, Zhao T, Schirda C, Hetherington HP, Pan JW, Gonen O. Fast,
regional three-dimensional hybrid (1D-Hadamard 2D-rosette) proton MR
spectroscopic imaging in the human temporal lobes. NMR Biomed. 2021
Jun;34(6):e4507. doi: 10.1002/nbm.4507. Epub 2021 Mar 23. PMID: 33754420;
PMCID: PMC8122085.
6.
Pan JW, Duckrow RB, Gerrard J, Ong C, Hirsch
LJ, Resor SR Jr, Zhang Y, Petroff O, Spencer S, Hetherington HP, Spencer DD. 7T
MR spectroscopic imaging in the localization of surgical epilepsy. Epilepsia.
2013 Sep;54(9):1668-78. doi: 10.1111/epi.12322. Epub 2013 Jul 29. PMID:
23895497; PMCID: PMC3938332.
7.
Provencher SW. Automatic quantitation of
localized in vivo 1H spectra with LCModel. NMR Biomed. 2001 Jun;14(4):260-4.
doi: 10.1002/nbm.698. PMID: 11410943.
8.
Marjańska M, McCarten JR, Hodges J, Hemmy LS, Grant A, Deelchand
DK, Terpstra M. Region-specific aging of the human brain as evidenced by
neurochemical profiles measured noninvasively in the posterior cingulate cortex
and the occipital lobe using 1H magnetic resonance spectroscopy at 7 T.
Neuroscience. 2017 Jun 23;354:168-177. doi: 10.1016/j.neuroscience.2017.04.035.
Epub 2017 May 3. PMID: 28476320; PMCID: PMC5516630.
9.
Li X, Pan JW, Avdievich NI, Hetherington HP,
Rispoli JV. Electromagnetic simulation of a 16-channel head transceiver at 7 T
using circuit-spatial optimization. Magn Reson Med. 2021 Jun;85(6):3463-3478.
doi: 10.1002/mrm.28672. Epub 2021 Feb 3. PMID: 33533500; PMCID: PMC8124020.