Volumetric imaging with homogenised excitation and static field at 9.4 T
To overcome the challenges of B0 and RF excitation inhomogeneity at ultra-high field MRI, a workflow for volumetric B0 and flip-angle homogenisation was implemented on a human 9.4 T scanner.
Materials and methods
Imaging was performed with a 9.4 T human MR scanner (Siemens Medical Solutions, Erlangen, Germany) using a 16-channel parallel transmission system. B0- and B1-mapping were done using a dual-echo GRE and transmit phase-encoded DREAM, respectively. B0 shims and a small-tip-angle-approximation kT-points pulse were calculated with an off-line routine and applied to acquire T1- and T2*-weighted images with MPRAGE and 3D EPI, respectively.
Over six in vivo acquisitions, the B0-distribution in a region-of-interest defined by a brain mask was reduced down to a full-width-half-maximum of 0.10 ± 0.01 ppm (39 ± 2 Hz). Utilising the kT-points pulses, the normalised RMSE of the excitation was decreased from CP-mode’s 30.5 ± 0.9 to 9.2 ± 0.7 % with all B1+ voids eliminated. The SNR inhomogeneities and contrast variations in the T1- and T2*-weighted volumetric images were greatly reduced which led to successful tissue segmentation of the T1-weighted image.
A 15-minute B0- and flip-angle homogenisation workflow, including the B0- and B1-map acquisitions, was successfully implemented and enabled us to reduce intensity and contrast variations as well as echo-planar image distortions in 9.4 T images.
KeywordsUltra-high field MR Parallel transmission B0 shimming Flip-angle homogenisation MPRAGE 3D EPI
The increased signal-to-noise ratio (SNR) [1, 2, 3] and contrast-to-noise ratio (CNR)  of ultra-high field (UHF) MRI provide a platform for imaging at higher resolution , allowing both structural [6, 7], and functional [8, 9, 10] details to be observed down to cortical layers. The increased field-induced susceptibility contrast also opens up new opportunities in T2*- and susceptibility weighted imaging (SWI) as well as for quantitative susceptibility mapping (QSM) [11, 12, 13, 14]. Novel contrast mechanisms also come into play, such as the anisotropic susceptibility of white matter [15, 16, 17].
However, in order to fully take advantage of the increased SNR and CNR in UHF MRI, especially for whole brain and body imaging, one must overcome the RF inhomogeneity at UHF. At field strengths of 3 T and beyond, the RF wavelength in vivo becomes comparable to, or smaller than, the dimension of the imaging object [18, 19, 20, 21, 22, 23, 24, 25]. This leads to interferences in the transmitted RF (B1+) field and results in strong intensity and contrast variations in the final image . The severity of the RF inhomogeneity increases as the RF wavelength reduces with field strength, e.g., from 7 T to 9.4 T .
These challenges can be addressed in several ways: RF coil , dielectric pads [26, 27], as well as RF pulse design  and parallel transmission with B1 shimming [25, 29, 30, 31] or transmit sensitivity encoding (Transmit-SENSE) [32, 33, 34] have been proposed as possible solutions to the problem of RF inhomogeneity at UHF. Small-tip-angle (STA) pulses can, for example, be designed using the spatial domain method  with magnitude least square optimisation  in combination with k-space trajectories such as kT-points  or spiral nonselective (SPINS) . Both kT-points and SPINS pulses have been shown to be effective in ameliorating RF inhomogeneities and have been used in Magnetisation Prepared Rapid Acquisition Gradient Echo (MPRAGE)  for T1-weighted anatomical imaging [39, 40].
Benefits and challenges of UHF both include the increased effects of magnetic susceptibility and the change in relaxation times that improve various contrasts, but the downside is stronger image distortion , blurring and signal losses  due to B0-inhomogeneity. B0-inhomogeneities at UHF present a significant challenge especially in the context of echo planar imaging (EPI)  which is the sequence of choice in functional MRI and other rapid imaging applications. Furthermore, spatial variation in B0 influences the performance of the RF excitation. B0 variation can be alleviated with higher-order shim coils such as the 3rd and 4th orders, which have been shown to provide significant improvements in both global and local B0 homogeneity .
Here, we demonstrate a B0- and flip-angle-homogenisation workflow as implemented on a human 9.4 T scanner, to address the aforementioned challenges of UHF MRI. The B0-shimming workflow uses a field-map-based shimming technique that homogenises the static B0-field in a region defined by an interactively generated brain mask down to 0.12 ppm (48.0 Hz), utilising shim coils up to (partial) 3rd order. The flip-angle-homogenisation workflow takes in a B0 map from the shimmed field and channel-by-channel complex B1+ maps, both measured as part of the calibration routine. Parallel RF pulses are then calculated using STA approximation, which can then be applied on the scanner with modified sequences. The workflow is presented by the example of volumetric kT-points excitation pulses. Sample T1-weighted MPRAGE  and T2*-weighted 3D EPI  images collected in conjunction with the B0- and flip-angle-homogenisation routine are shown.
Materials and methods
All experiments were performed on a 9.4 T human MR scanner (Siemens Medical Solutions, Erlangen, Germany) using a head gradient set (AC84-mk2, maximum amplitude 80 mT/m, maximum slew rate 333 T/m/s, inner diameter 36 cm) in combination with a 16-channel parallel transmission system (1 kW per channel) and a dual-row 16-channel transmit/31-channel receive array coil . Online local SAR monitoring was achieved by a vendor-provided system installed on the transmit chain . The SAR matrices used for the online local SAR monitoring were derived from an EM simulation  on an adult male model (Hugo) with safety margins (a factor of 2) and limits set according to  and compressed according to the virtual observation points (VOPs) method . A common model was used for all subjects. The same VOPs compressed SAR matrices were used in SAR prediction in the off-line pulse calculations and simulations. All in vivo experiments were approved by the local ethics committee and performed in accordance with internal safety guidelines and all participating volunteers gave written informed consent.
B0- and flip-angle-homogenisation workflow
B0 field maps were obtained from a dual-echo 3D GRE sequence (TR = 30 ms, TE1 = 1.00 ms, TE2 = 3.21 ms, nominal flip-angle = 8 degrees, nominal voxel size = 4 mm isotropic, matrix size 50 × 50 × 44, bandwidth 1560 Hz/pixel, total scan duration 1:49 min). B0 shimming including some 3rd order terms (Z3, Z2X, Z2Y, ZX2Y2) was accomplished with a custom software . The B0 shim routine unwraps the measured fieldmap  and fits spherical harmonics basis functions up to all 4th orders to it. Including the extra harmonics terms, it allows us to take some of the deviation of the physical shim coils from the spherical harmonics basis functions into account. The spherical harmonics terms for the shim coils had previously been determined by one-off calibration measurement, and were used to calculate the required shim currents to achieve field optimisation in the target region typically by a least-square fit to the in-session measured fieldmap. In order to take the system’s shim current limits into account, a constrained optimisation routine provided by CVX [52, 53] was used in the shim current calculation. The target region for B0 shimming was defined by a brain mask generated from the magnitude images of the dual-echo GRE using FSL-BET . A second B0 field map was acquired after applying the shim values in order to take the new B0 field distribution into account in the RF pulse calculation. This step is optional as the B0 shim routine can also generate a predicted B0 map after shimming for later pulse calculation.
Complex B1 maps from all the transmit channels were obtained using a transmit phase-encoded , T2 and T2* compensated version of DREAM  (imaging train repetition time = 6.8 ms, TR = 7.5 s, TE1 = 2.22 ms, TE2 = 4.44 ms, nominal imaging flip-angle = 7 degrees, nominal preparation pulse FA = 55.5 degrees, imaging slice thickness 4 mm, slice separation 10 mm, preparation pulse slice thickness 8 mm, voxel size 4 mm isotropic, matrix size 64 × 56 × 15, bandwidth 690 Hz/pixel, 32 transmit phase encode steps, total scan duration 4:00 min). After the pulse calculation (see below), the flip angle of the RF pulse was mapped by an implementation of the pre-saturation turbo-flash (PreSat-TFL) sequence  to verify it against the prediction of the optimisation algorithm. The PreSat-TFL method parameters were: imaging train repetition time 5.9 ms, TR 10 s, TE 2.24 ms, nominal imaging FA 8 degrees, nominal preparation pulse FA 45 degrees, imaging slice thickness 4 mm, voxel size 4 mm isotropic, matrix size = 64 × 64 × 1, bandwidth 690 Hz/pixel, total scan duration 20 s.
RF pulse calculation
The parallel transmit excitation pulses utilised in the imaging sequences were designed using the spatial domain method  with magnitude least square optimisation  under the small tip-angle approximation. The optimisation was done using a conjugate-gradients-based algorithm  which includes a global SAR regularisation and a local SAR regularisation by means of a VOP-compressed SAR matrix . Localised B1+ drop-out in the optimisation solution was avoided by using a region growing algorithm . kT-points  were used as the k-space trajectory for the excitation pulses.
MPRAGE scans were acquired using: TR = 3.75 s, TE = 3.64 ms, TI = 1.2 s, matrix size 384 × 384 × 256, voxel size 0.6 mm isotropic, sagittal slices and anterior-to-posterior phase encode direction, slice partial Fourier 7/8, echo train length = 2.1 s, nominal flip-angle = 5 degrees, GRAPPA parallel imaging using factor 3 along the in-plane phase encoding direction with 24 reference lines, bandwidth 180 Hz/pixel; total scan duration was 8:58 min. The T1-weighting in MPRAGE was achieved by an adiabatic inversion pulse. Here, the same complex RF waveform was applied in all transmit channels, i.e., only the channel relative phases were adjusted to achieve a CP-like mode of the coil. The nominal flip-angle of the CP-mode pulse was defined as the average flip angle in a central region around the bright CP-mode spot in the middle of the brain. The inversion pulse used in the experiment was a 13 ms TR-FOCI adiabatic pulse with a peak voltage of 79.8 V applied to each transmit channel (yielding a nominal peak B1 amplitude of 10 uT) . An additional proton-density-weighted image was acquired for receive bias-field correction by switching off the inversion pulse and minimising TE and TR while keeping the other parameters unchanged. For one-off comparison, the same acquisitions were repeated using a standard non-selective RF excitation pulse of 0.10 ms duration in the same CP-like mode as used for the TR-FOCI inversion pulse. For this set of MPRAGE sequence parameters, the maximum 10 g averaged local SAR per TR estimated by using the VOPs compressed SAR matrices were 0.77 and 1.11 W/kg for the kT-points and the CP-like mode excitation pulses, respectively, and was 6.77 W/kg for the TR-FOCI inversion pulse.
The T1-weighted MPRAGE image was segmented into grey matter, white matter and cerebrospinal fluid maps with FSL-FAST  in a sequence of customised steps. First, the T1-weighted image was realigned rigidly to and divided by the proton-density image to remove any intensity bias introduced by receive field inhomogeneity . Second, the co-registered proton-density image was corrected for bias fields with FSL-FAST and then passed to FSL-BET to create a brain mask. Third, the brain mask was then used to extract the brain region from the bias-corrected T1-weighted image. Finally, the brain extracted T1-weighted image was passed to FSL-FAST for tissue segmentation.
The same kT-points excitation was also applied in a 3D EPI sequence  with parameters as follows: TR = 61 ms, effective volume TR = 12.7 s, TE = 22 ms, matrix size 256 × 256 × 208, voxel size 0.75 mm isotropic, phase partial Fourier 6/8, nominal flip-angle 15 degrees, bandwidth 1396 Hz/pixel, and parallel imaging undersampling with GRAPPA factor 3 along the in-plane phase-encoding direction using 96/48 reference lines/partitions that were acquired in a segmented lines-in-partition order . The total acquisition time was 1:28 min. This acquisition was also repeated in a CP-like mode transmission using a 1.0 ms duration rectangular pulse. With the given 3D EPI sequence parameters, the maximum 10 g averaged local SAR per TR were estimated to be 1.56 and 1.12 W/kg for the kT-points and the CP-like mode excitation pulses, respectively. The 3D EPI sequence was implemented such that each excitation yielded a kx-ky plane at a different kz increment, using linear ordering. Each readout was preceded by a three-lobed non-phase-encoded navigator readout at minimum TE, which served the dual purpose of EPI eddy current (Nyquist N/2 ghost) correction  and correction of B0-drift due to subject breathing during the acquisition .
B1+ voids, SNR and contrast variations due to B1+ inhomogeneity can be seen in the CP-mode T1-weighted and proton density images. Consequently, in several regions proper segmentation of grey matter and CSF was not possible.
B0- and B1-inhomogeneities are the well-known challenges in UHF MRI. Here, we presented the workflow used at our institution to homogenise both B0 and the excitation flip-angle, allowing us to acquire high quality volumetric images at 9.4 T and further explore the potential of UHF imaging. The entire B0 and B1 calibration workflow currently takes approximately 15 min in total, including the (~6 min) B0 and B1 maps acquisitions. With further developments such as incorporating the B0 and B1 mapping into the scanner’s on-line image reconstructions and further streamlining the data transfer between the scanner’s host computer and the PC on which the B0 and B1 shim calculations are performed, we expect that the total calibration time can be shortened to approximately 8 min. This is only a small proportion of time typically allocated for UHF MRI studies.
The first benefit that the homogenisation workflow can bring to single- and multi-channel transmission systems alike is the potential reduction in signal loss, T2* blurring and distortion due to B0 inhomogeneity, especially for the case of EPI . By using a ‘brain-only’ region of interest and precisely calibrated shim coils, the B0 linewidth in the brain was brought down to 39 ± 2 Hz (0.10 ± 0.01 ppm). Using the four additional 3rd order shim coils, the linewidth and the 90th percentile of the B0 field distribution in the brain were on average further reduced by 14.7 and 16.9 %, respectively. This improvement is most apparent in the frontal regions of the brain as shown in Fig. 3d, e.
The second benefit of the homogenisation workflow is the reduction in signal and contrast variations across the image due to B1+ inhomogeneity which is a bigger challenge than B0 homogenisation at 9.4 T. A previous simulation study on the same coil at 9.4 T has shown the limited capability of flip-angle homogenisation using static shim only . By utilising the full 16-channel parallel RF transmission system dynamically, we were able to design kT-points pulse in the same brain region of interest to reduce the normalised RMSE of the excitation flip angle on average by 69.7 %, in comparison to CP-mode. All B1+ voids could be eliminated, as can be observed in Fig. 4. The PreSat-TFL validation scans confirmed the agreement between the predicted and achieved flip angle distribution, and implicitly also the correct delivery of the pulse (e.g., gradient axis orientation, channel ordering, and phase sign).
The results over 6 scan sessions demonstrated that the improvements on both the B0 and flip-angle homogenieties are consistent and reproducible. Various parts of the B0 and flip-angle homogenisation procedure work in synergy with each other. Apart from reducing artefacts, a homogenised and known B0 distribution can also ease the RF optimisation by narrowing the range of off-resonance in the problem. By excluding the subcutaneous tissue and the neck with the brain mask, the size of the RF optimisation problem is reduced and hence improves its speed and memory usage.
RF exposure to volunteers is a major concern in UHF MR, especially in combination with the use of parallel transmission. Using EM-simulations generated SAR matrices and VOPs compression, local SAR can be regularised during the pulse design process . With the knowledge of the desired sequence parameters, the maximum local SAR can also be predicted in the pulse design workflow for a particular run of sequence . The off-line maximum local SAR look-ahead allows the scanner operators to adjust the sequence parameters in order to keep the 10 s and 6 min exposure below the 20 W/kg and the 10 W/kg limits, respectively, as described in IEC 60601-2-33.
Several methods for B0 and B1 mapping have been shown in the literature for B0 shim and RF pulse optimisations. It is out of the scope of this article to review or evaluate them, and the choices here were made based on pragmatic criteria: ease of implementation and effectiveness for the experimental setting (whole brain B1 and B0 shim). Shim current calculation for B0 shims can, in principle, be achieved with a least-square fit expressed as a matrix inversion. However, the physical shim current limits need to be taken into account, for which we have chosen a constrained optimisation approach instead. For B0 mapping, we have found that a standard dual-echo 3D GRE sequence, with phase unwrapping as shown in Ref , was fully sufficient for application in the brain, without apparent artefacts. For the RF optimisation, the main goal was in homogenising a low flip angle excitation pulse and we have hence chosen the STA approximation approach with a magnitude least square cost, due to its ease of obtaining a magnitude homogenised solution with a potential reduction in global RF power .
Two B1 mapping sequences were use in this study, DREAM and PreSat-TFL. They were chosen for a couple of different aspects of B1 mapping based on their different desired properties. The individual transmit channel B1 maps were acquired with transmit phase encoded DREAM because of its speed, its insensitivity to B0 variation and more robust against motion in comparison to PreSat-TFL. However, due to the RF pulse timing and layout in DREAM, it is not straightforward to map the kT-points pulses with it. Hence, a 2D PreSat-TFL, which is more flexible in terms of the mapping RF pulse, was used as the optional fast (20 s) qualitative validation of the designed pTx pulse. A full 3D quantitative mapping of the kT-points pulse is also possible by using an AFI  sequence, but this is not included in the current workflow because of its long acquisition time (~3 min).
The B0 and B1 maps collected during the session were also used in a Bloch simulation to decide which type of adiabatic pulse and what voltage amplitude was suitable for inversion in our imaging experiments. Our simulations have shown that the TR-FOCI inversion pulse performed better than the hyperbolic secant pulse provided in the standard product sequence, despite only using half the maximum transmitter voltage. Hence, TR-FOCI was chosen as the inversion pulse in our T1-weighted MPRAGE for structural imaging and tissue segmentation. Despite its low adiabatic threshold, the TR-FOCI pulse in combination with a CP-like mode in this particular setup still could not provide a complete inversion throughout the region of interest defined by the brain mask. Using a large tip angle design as reported by [39, 72], the inversion efficiency can potentially be further improved. The feasibility of incorporating this approach into our B0- and flip-angle-homogenisation is being investigated.
The efficient inversion of TR-FOCI in combination with the homogenised excitation through a kT-points pulse have led to significant improvement in the quality of the T1-weighted MRRAGE images acquired at 9.4 T. As can be seen in the comparison of CP-mode and kT-points acquisitions of the T1- and proton density weighted images shown in Fig. 7, the variations in intensity and contrast across the image were largely eliminated by substituting the standard rectangular pulses by parallel transmit kT-points excitations. Successful segmentation of the receive-bias-corrected images was achieved without further adjustment or manual intervention; this was not the case for the CP-mode acquired image.
Similar improvements were observed for the 3D EPI when comparing the CP-mode and kT-points acquired images. Similar improvements were observed for the 3D EPI when comparing the CP-mode and kT-points acquired images. While a 0.1 ms rectangular pulse is typically used in an MPRAGE readout train, a 1 ms pulse was used for the 3D EPI CP mode acquisition, because of the higher required flip angle and the lack of a time constraint. This “stretching” of the pulse proportionately reduced the required pulse amplitude, which explains the inversion of the local SAR estimates between the CP-mode and kT-points protocols for MPRAGE and 3D EPI listed in the Materials and Methods section. The increased pulse duration reduces the pulse bandwidth, which however remained much higher than the B0 variations within the brain mask. Therefore most of the excitation inhomogeneity can be attributed to B1 inhomogeneity from the transmit coils at this particular field strength.
Application of 3D EPI at 3 T and above has recently been receiving increased attention not only for BOLD imaging [45, 73, 74] but has also been shown to be an attractive choice for rapid acquisition of T2*-weighted structural data . This can readily be extended to the application of SWI and QSM, as has recently been demonstrated at 3 T , 7 T and 9.4 T . The benefits of 3D EPI are greatest at high-resolution which is particularly beneficial at UHF. A tremendous advantage of 3D sequences with two phase encoding directions is that they lend themselves to efficient parallel imaging undersampling strategies such as CAIPIRINHA  as has been shown also in the context of 3D EPI [79, 80].
The B0 shim and RF pulse calculated by the B0- and flip-angle-homogenisation workflow can be applied to other 3D scans such as GRE. The volumetric workflow has been extended to design slice-specific spokes pulses for 2D excitations as demonstrated in  for high in-plane resolution GRE imaging.
In summary, we demonstrated a B0- and flip-angle-homogenisation procedure that currently takes approximately 15 min to run, and homogenises B0 linewidth down to 0.10 ± 0.01 ppm and flip-angle normalised RMSE down to 9.2 ± 0.7 % in the same whole brain region of interest. This enables us to reduce intensity and contrast variations as well as distortions in our 9.4 T images.
The authors thank Dr. Michael S. Poole for his help with the B0 and flip-angle optimisation codes. Scan time was funded under Scannexus/BrainsUnlimited Project D0112, intramural Grants MBIC F0006B03 and FHML M0108A06, and Dutch Science Foundation NWO Grant VIDI 452-11-00 to Kâmil Uludağ.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent was obtained from all individual participants included in the study.
- 2.Hoult DI, Richards RE (1976) The signal-to-noise ratio of the nuclear magnetic resonance experiment. J Magn Reson 24(1):71–85Google Scholar
- 3.Pohmann R, Speck O, Scheffler K (2015) Signal-to-noise ratio and MR tissue parameters in human brain imaging at 3, 7, and 9.4 tesla using current receive coil arrays. Magn Reson Med doi:10.1002/mrm.25677Google Scholar
- 17.Wiggins CJ, Gudmundsdottir V, Le Bihan D, V L MC (2015) Orientation dependence of white matter T2* contrast at 7T: a direct demonstration. In: Proceedings of the 23rd scientific meeting, International Society for Magnetic Resonance in Medicine, TorontoGoogle Scholar
- 18.Adriany G, Van de Moortele P-F, Ritter J, Moeller S, Auerbach EJ, Akgün C, Snyder CJ, Vaughan T, Ugurbil K (2008) A geometrically adjustable 16-channel transmit/receive transmission line array for improved RF efficiency and parallel imaging performance at 7 Tesla. Magn Reson Med 59(3):590–597CrossRefPubMedGoogle Scholar
- 22.Glover GH, Hayes CE, Pelc NJ, Edelstein WA, Mueller OM, Hart HR, Hardy CJ (1969) O?Donnell M, Barber WD (1985) Comparison of linear and circular polarization for magnetic resonance imaging. J Magn Reson 64(2):255–270Google Scholar
- 28.Pauly J, Nishimura D (1969) Macovski A (1989) A k-space analysis of small-tip-angle excitation. J Magn Reson 81(1):43–56Google Scholar
- 30.Hoffmann J, Shajan G, Scheffler K, Pohmann R (2014) Numerical and experimental evaluation of RF shimming in the human brain at 9.4 T using a dual-row transmit array. Magn Reson Mater Phy 27 (5):373–386Google Scholar
- 40.Hans Hoogduin RMGMJVHPL (2014) Malik SJ Initial experience with SPIral Non Selective (SPINS) RF pulses for homogeneous excitation at 7T. Proceedings of the 22nd scientific meeting. International Society for Magnetic Resonance in Medicine, Milan, p 4914Google Scholar
- 47.Gumbrecht R, Fontius U, Adolf H, Benner T, Schmitt F, Adalsteinsson E, Wald LL, H.-P. F (2013) Online Local SAR Supervision for Transmit Arrays at 7T In: Proceedings of the 21st scientific meeting, International Society for Magnetic Resonance in Medicine, Salt Lake CityGoogle Scholar
- 50.Poole MS, Panchuelo RS, Panel R, Peters A, Bowtell R (2011) Benefits of Brain Segmentation and 3D Field Mapping in B0 Shimming at 7T. ISMRM Scientific Workshop: Ultra-High Field Systems and Applications: 7T and Beyond: Progress. Lake Louise, Pitfalls and Potential, p 34Google Scholar
- 52.Grant M, Boyd S (2008) Graph implementations for nonsmooth convex programs. In: Blondel V, Boyd S, Kimura H (eds) Recent Advances in Learning and Control. Springer-Verlag LimitedGoogle Scholar
- 53.Grant M, Boyd S (2014) CVX: Matlab Software for Disciplined Convex Programming, version 2.1Google Scholar
- 60.Poole MS, Tse DHY, Vahedipour K, Shah NJ (2014) A region growing algorithm for robust kt-points B1 + homogenisation at 9.4T. In: Proceedings of the 22nd scientific meeting, International Society for Magnetic Resonance in Medicine, MilanGoogle Scholar
- 61.Amadon A, Dupas L, Vignaud A (2015) Boulant N Does the best distance beween 2 spokes match the inverse RF wavelength? Proceedings of the 23rd scientific meeting. International Society for Magnetic Resonance in Medicine, Toronto, p 2388Google Scholar
- 65.Ivanov D, Barth M, Uludag K (2015) Poser BA Robust ACS acquisition for 3D echo planar imaging. Proceedings of the 23rd scientific meeting. International Society for Magnetic Resonance in Medicine, Toronto, p 2059Google Scholar
- 66.Jesmanowicz A, Wong E, J. H (1993) Phase correction for EPI using internal reference lines. In: Proceedings of the 12th scientific meeting, International Society for Magnetic Resonance in Medicine, KyotoGoogle Scholar
- 77.Poser BA, Ivanov D, Barth M, Uludag K (2015) High-resolution 3D EPI at 7 and 9.4T and its application to quantitative susceptibility mapping. In: Proceedings of 19th Annual Meeting, Organization for Human Brain Mapping, HonoluluGoogle Scholar
- 79.Poser BA, Kemper VG, Ivanov D, Kannengiesser SA, Uludag K (2013) Barth M CAIPIRINHA-accelerated 3D EPI for high temporal and/or spatial resolution EPI acquisitions. Proceedings of 30th Annual Scientific Meeting. European Society for Magnetic Resonance in Medicine and Biology, Toulouse, p 287Google Scholar
- 81.Tse DHY, Brenner D, Guerin B, Poser BA (2015) High resolution GRE at 9.4T using spokes pulses. In: Proceedings of the 23rd scientific meeting, International Society for Magnetic Resonance in Medicine, TorontoGoogle Scholar
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.