Zhigang Wu1, Yajing Zhang2, Wengu Su3, Masami Yoneyama4, Peng Sun5, Jing Zhang6, Yan Zhao7, and Jiazheng Wang5
1Philips Healthcare, Shenzhen, Ltd., Shenzhen, China, 2Philips Health Technology, Suzhou, China, 3BU MR Application, Philips Health Technology, Suzhou, China, 4BU MR Clinical Science, Philips Healthcare, Tokyo, Japan, 5Philips Healthcare, Beijing, China, 6MR Clinical Application, Philips Healthcare, Beijing, China, 7BU MR R&D, Philips Health Technology, Suzhou, China
Synopsis
Keywords: Data Acquisition, Diffusion/other diffusion imaging techniques, Reduced FOV, Compressed SENSE
DWI is very important for MRI examination,
but it has limited resolution due to distortion, blurring, and signal loss
caused by B0 inhomogeneity. Reduced FOV imaging could decrease these impacts. However,
due to the coil geometry penalty, it’s hard to combine it with parallel imaging
to further improve the image quality, it will suffer from noise breakthrough
issues and unfolding artifacts. We propose a framework that combines reduced
FOV imaging, Compressed SENSE framework simultaneously to overcome these issues.
This framework allows a new solution for reduced FOV based diffusion imaging
with high resolution, low distortion, and without noise breakthrough issue.
Introduction
Diffusion weighted imaging (DWI) based on single
shot EPI is a very helpful sequence for oncological applications and
microstructure study. But it suffers severe geometry distortion, image
blurring, and signal loss which are caused by the local B0 inhomogeneity1.
The distortion could be represented by the following equation:
△y=△f(x,y)⋅FOVpe⋅ESP
where △y
means the distortion in phase encoding
direction,
△f(x,y) means the local B0 inhomogeneity,
FOVpe means the FOV at phase encoding direction,
ESP means the echo spacing for EPI based sequence.
Reduced FOV imaging (rFOV) based on 2D RF pulse2,3
or Out Volume Suppression4 could be used to improve resolution and reduce
the distortion for DWI. However, rFOV is still suffered from the distortion and
signal loss when the local B0 inhomogeneity is large.
Parallel imaging, such as SENSE could also be
used to decrease the echo train length and improve the image quality5.
However, it will increase noise-like artifacts on the center of the images due
to the high geometry factor when large reduction factors are used due to the
coil geometry penalty5, it will be more severe if it was used for rFOV.
Compressed SENSE could be useful to achieve an
optimal balance between noise reduction and data consistency6. Recent studies
demonstrated Compressed SENSE reconstruction framework could improve image quality for single shot EPI
based DWI7,8,9,10, it’s called EPICS.
We combine reduced FOV imaging and EPICS simultaneously
for the first time to achieve high acceleration factor to produce DWI images
with high resolution, low distortion and relative high SNR.Methods
EPICS is based on single shot EPI
acquisition utilizing the Compressed SENSE framework, it could dramatically
reduce noise-like artifacts, so it can be used for much higher accelerator than
conventional parallel imaging methods. Conventional reduced FOV imaging base on
2D RF pulse without parallel imaging is called iZoom which is implemented as
ref 2. iZoom applies a tilted 2D Echo-Planar RF excitation with only tilting
the k-space along the phase-encoding direction to realize multi-slice imaging. We
combined iZoom with EPICS simultaneously, we call it as rEPICS, the sequence
diagram and reconstruction workflow for rEPICS were showed as Fig. 1.
To evaluate the performance of rEPICS, a pilot
study was done for head and abdomen, conventional DWI based on ssEPI, iZoom
without SENSE, iZoom with SENSE and our proposed rEPICS were acquired on a
Philips 3.0T Elition system (Philips Healthcare, Suzhou, China) , a 16-ch head &
spine coil for head and 32-ch torso & spine coil for abdomen. The study was
approved by the local IRB. The characteristics of these DWI acquisition schemes
were summarized on Table 1. For conventional DWI using ssEPI, SENSE was used,
the SENSE factor is 2. For reduced FOV imaging, three different acceleration
schemes were used, it means iZoom without SENSE, iZoom with SENSE and rEPICS
(iZoom with EPICS). Detailed scan parameters were summarized in Table 2.Results
Fig. 2 and Fig. 3 shows the comparison between conventional
DWI based on single shot EPI, iZoom without SENSE, iZoom with SENSE and our
proposed rEPICS for head and abdomen separately. Compared with other schemes,
our proposal rEPICS has the higher resolution, lower distortion and better SNR than
other techniques. The image quality was dramatically improved with rEPICS, as
the red arrow showed in Fig. 2 and Fig.3. Both iZoom with SENSE 2 and SENSE 3
show noise breakthrough issue. rEPICS with acceleration factor 2 and 3 shows good
SNR and better resolution than other acquisition schemes. rEPICS also shows less
distortion than other acquisition techniques in Fig3. The results shows that
our proposed rEPICS has better performance on distortion, SNR and resolution
than other methods. Although further clinical investigation is needed, rEPICS might
be clinically useful and promising for DWI in high resolution, low distortion and
without noise breakthrough issue.
Discussion and conclusions
The proposed method rEPICS combines the reduced FOV
imaging with Compressed SENSE framework for EPI (EPICS). rEPICS shows good
performance with high resolution, lower distortion and also higher SNR than other
schemes, such as conventional diffusion based on single shot EPI, and reduced
FOV without or with parallel imaging. A pilot study was done for both head and
abdomen. This strategy could enhance the applicability and offer a new solution
of DWI in applications that is expected for high resolution and low distortion,
such as brain, pancreas, prostate, kidney etc. Because this method doesn’t
increase the scan time, it should also be promising for high resolution and low
distortion fMRI.Acknowledgements
No.References
1. Bihan DL, et al. Artifacts and pitfalls
in diffusion MRI, J. Magn. Reason., 2006; 24: 478-488.
2. Wu ZG, et al. B1 insensitive zoomed FOV
imaging, Proc. Intl. Soc. Mag. Reson. Med. 23(2015); 0953.
3. Banerjee S, et al. Reduced field-of-view
DWI with robust fat suppression and unrestricted slice coverage using tilted 2D
RF excitation. Magn Reson Med. 2016;76:1668-1676.
4. Wilm BJ, et al. Reduced field-of-view MRI using outer volume suppression for
spinal cord diffusion imaging. Magn Reson Med 2007;57:625–630.
5. Pruessmann KP, et al. SENSE: sensitivity
encoding for fast MRI, Magn. Reason. Med., 1999;42(5):952-62.
6. Geerts-Ossevoort L, et al. Compressed
SENSE. Speed done right. Every time. Philips Field Strength Magazine 2018:
6619.
7. Masami Y, et al. Noise Reduction in
Prostate Single-Shot DW-EPI utilizing Compressed SENSE Framework. Proc. Intl.
Soc. Mag. Reson. Med. 27 (2019) ,1634.
8. Hazuki Y, et al. Reduction of
susceptibility artifact using echo-planar imaging with compressed SENSE (EPICS)
in the upper abdomen, Proc. Intl. Soc. Mag. Reson. Med. 29 (2021), 1900.
9. Kaga T, et al. Diffusion-weighted
imaging of the abdomen using echo planar imaging with compressed SENSE:
Feasibility, image quality, and ADC value evaluation. Eur J Radiol. 2021 Sep; 142:
109889.
10. Tamada T, et al. Clinical application
of single-shot echo-planar diffusion-weighted imaging with compressed SENSE in
prostate MRI at 3T: preliminary experience. MAGMA. 2022 Aug; 35(4):549-556.