Martins Otikovs1, Lingceng Ma1, and Lucio Frydman1
1Weizmann Institute of Science, Rehovot, Israel
Synopsis
Spatiotemporal encoding (SPEN) is an alternative ultrafast imaging technique which allows one to manipulate the bandwidth along the phase-encoding (PE) direction as well as to achieve T2* refocusing throughout the FID acquisition, thereby overcoming distortions observed along EPI’s PE dimension. The study compares multislice 2D SPEN and a 3D SPEN sequence variants against EPI derivatives, evaluating their ability to deliver prostate diffusion-weighted imaging (DWI) data and apparent diffusion coefficient (ADC) maps on healthy human volunteers. Essentially distortion-free diffusion weighted images and ADC maps of prostate with good SNR were achieved by the 2D SPEN variant.
INTRODUCTION
DWI and ADC mapping data have become an important part of the clinical
toolkit currently used for the detection and characterization of
prostate lesions by MRI.1 These are commonly retrieved using EPI-based
sequences, for which immunity to distortions along PE direction is
limited by the minimum available echo spacing. This can often lead to
distortions for some of the slices collected in the prostate area.
Parallel imaging and/or multi-segmented acquisitions can provide access
to higher bandwidths (BWs) along the PE direction, this is often not
sufficient to overcome distortions –particularly when imaging small
objects, or scanning motion-prone abdominal regions. In the case of
human prostate scans, this is further compounded by the presence of
air/tissue/fat interfaces. This can lead to either image reconstruction
artifacts and/or loss of resolution due to blurring. Spatiotemporal
encoding2 (SPEN) is a single-shot technique that can overcome these
shortcomings thanks to: (1) a PE BW that can be arbitrarily chosen at
the time of the excitation, and (2) an ability to operate under fully
T2*-refocusing conditions throughout the acquisition.3 Further, a
recently proposed SPEN image reconstruction pipeline4 allows one to
reconstruct multi-segmented diffusion weighted data collected with
parallel receivers without suffering from motion-induced artifacts,
opening an avenue to high resolution imaging of challenging anatomical
regions. This study explores the use of these features for collecting
single- and multi-shot SPEN-based 2D DW images and ADC maps of prostate.
The study also explores the use of a 3D SPEN sequence, and compares its
performance with respect to its 2D multislice counterpart for prostate
imaging. Our results corroborate the aforementioned advantages of SPEN
vs EPI and suggest that the former is a promising new alternative for
prostate DWI.METHODS
SPEN images were acquired using the multislice 2D and kz-encoded 3D sequences shown in Figure 1. Both 2D and 3D versions were tested for single shot and interleaved acquisitions along the PE direction. For the 3D sequence a navigator image for estimating potential phase corrections to be applied before FT along slab (z) dimension was acquired at the end of each scan, after rewinding any residual kz-encoding and after applying a 180° pulse to conserve SPEN’s T2* refocusing condition along the whole FOV. After correcting these potential phase distortions, a FT was performed along kz, followed by the SPEN processing scheme outlined in Ref. 4. The sequence in Figure 1 was programmed on a 3T Siemens Prisma scanner equipped with a 32 channels spine and 18 channels body coils. All images were acquired under free-breathing without respiratory gating. SPEN images were acquired with an encoding bandwidth of 8 kHz, slice thickness 3.5 mm, 16 slices or 16 kz encoding lines (2D/3D versions respectively), 3D FOV of 20x8x5.6 cm. For single-shot data 2x2 mm in-plane resolution was targeted with #PE=40, while for two-shot (interleaved) SPEN data a resolution of 1.5x1.5 mm was achieved (#PE=56). A partial Fourier factor of 0.8 was used along read-out (RO) dimension for the SPEN acquisitions. Single-shot EPI was acquired with 2x2 mm in-plane resolution using a PE BW of 1.8 kHz. Scanner-supplied RESOLVE5 with a 1.5x1.5 mm in-plane resolution using 5 segments along the RO dimension and a GRAPPA acceleration of 2 was also collected, resulting in an effective BW of 6 kHz along the PE dimension. For both EPI and RESOLVE the FOV along the PE direction was set to 20 cm to avoid folding; SPEN acquisitions are immune to folding and thus used a reduced FOV(PE) of 8 cm. For all of the DW experiments b-values of 50 and 800 s/mm2 were used with 3 and 9 repetitions, respectively for single-shot data, and 3 and 4 repetitions were used for the two-shot data. To keep the scan times comparable, 2 RESOLVE repetitions were acquired for each b-value to compensate for time necessary to accommodate 5 RO segments. All human volunteers were scanned following suitable written consent.RESULTS & DISCUSSIONS
Figure 2 compares DWI and ADC maps acquired with the SPEN and EPI-based sequences, along with TSE-T2 weighted images to access true anatomy. Reduction of distortions can be appreciated in SPEN’s DWI and ADC maps, recovering signal for regions which suffer from pile-up artifacts in the EPI data. Figure 3 presents SPEN multishot acquisitions both for 2D multislice and 3D implementations, which once again corroborate SPEN’s potential to acquire high resolution ADC maps for prostate while being resilient to field inhomogeneity and/or motion induced distortions.CONCLUSION
2D multislice and 3D volumetric SPEN sequences were introduced, and their potential was evaluated within a prostate DWI context. Both SPEN sequences managed to overcome distortions observed in EPI-based images thanks to their higher BW and full refocusing, yielding results comparable to those arising from RESOLVE acquisitions that utilize a higher number of segments than their SPEN counterparts. These results are leading to studies on a larger cohort of healthy and pre-biopsy volunteers.Acknowledgements
We are grateful to Fanny Attar, Eiska Tegareh and Dr. Edna Furman-Haran for assistance in the scans. Financial support from the Kimmel Institute for Magnetic Resonance and the Thompson Family Foundation is gratefully acknowledged.References
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