Takumi Ogawa1, Michinobu Nagao2, Yasuhiro Goto1, Masami Yoneyama3, Johannes M Peeters4, Isao Shiina1, Yutaka Hamatani1, Kazuo Kodaira1, Mana Kato1, and Shuji Sakai2
1Department of Radiological Services, Tokyo Women's Medical University, Tokyo, Japan, 2Department of Diagnostic image & Nuclear Medicine, Tokyo Women's Medical University, Tokyo, Japan, 3Philips Japan, Tokyo, Japan, 4Philips Healthcare, Best, Netherlands
Synopsis
Keywords: Digestive, Biliary
Breath-hold MRCP has gained more attention in
routine clinical MRI, but its limited scan time during the breath-hold period
often results in poor signal-to-noise ratio (SNR) and spatial-resolution.
Despite being a single breath-hold method, 3D gradient and spin-echo (GraSE) sequence
has been reported to provide high image quality. In this study, accelerated GraSE
sequence combined with Compressed SENSE has been developed to obtain high-resolution
MRCP images with a single breath-hold.Introduction
3D MRCP is typically obtained by either respiratory-triggering
or breath-holding. Although respiratory-triggered 3D heavily T2-weighted turbo
spin echo (TSE) based sequence has commonly been used for 3D MRCP, this technique
tends to have a long acquisition time depending on patients’ respiration
frequency. In addition, it sometimes provides poor image quality in patients
with irregular breathing [1]. On the other hand, breath-hold MRCP has gained
more attention in routine clinical MRI, but its limited scan time during the
breath-hold period often results in poor signal-to-noise ratio (SNR) and lower spatial-resolution.
We may be able to obtain higher SNR images with longer scan times, but in
practice such a protocol is unrealistic with
reduced success rate of the examination due toincomplete breath-holding.
Therefore, several techniques have been reported to shorten the acquisition
time in MRCP [2,3], such as Gradient and Spin-Echo (GraSE) and 3D TSE with
compressed sensing sensitivity encoding (Compressed SENSE). 3D GraSE is a hybrid
technique of alternately acquired gradient echoes and spin echoes in the echo
trains [4-6]. Despite being a single breath-hold method, this sequence has been
reported to provide better image quality than respiratory-triggered 3D MRCP [5,6].
Furthermore, it has been found to have lower sensitivity to motion artifacts
compared with conventional TSE method [7].
Accelerated 3D GraSE combined with Compressed
SENSE has recently been developed to obtain high-resolution 3D MRCP images within
a single breath-hold. In this study, we investigated the feasibility of accelerated
CS-GraSE for MRCP by comparing with conventional SENSE-GraSE and conventional respiratory-triggered
3D TSE MRCP.Methods
METHODS
3D MRCP images of six healthy volunteers
(five males and one female, age range: 27-47 years) were obtained by 3.0T MR
system (Ingenia, Philips healthcare). The study was approved by the local IRB,
and written informed consent was obtained from all subjects.
We compared four types of 3D MRCP images:
conventional 3D TSE respiratory-triggering technique (RT-TSE), conventional 3D single
breath-hold GraSE using SENSE (conventional-GraSE), high-resolution breath-hold
GraSE with a SENSE factor of 12 (HR SENSE12-GraSE), and high-resolution 3D
breath-hold GraSE with Compressed SENSE factor of 12 (HR CS12-GraSE). For assessment
of overall image quality, sharpness and noise and artifacts, we evaluated them
at a 4-point scale with “4” being excellent,
“1” was severely impacted image quality) by two blinded readers. Visual
evaluation was assessed by Steel-Dwass test. As a quantitative evaluation, the
contrast ratio (CR) of the common bile duct (CBD) to the liver and the SNR of
the CBD were measured. SNR CBD and CR CBD-liver were calculated as follows: SNR
CBD = SI CBD/ SD noise, CR CBD-liver = [SI CBD – SI liver] / [SI CBD + SI
liver] where SI CBD and SI liver are the mean average signal intensity of the CBD
and liver respectively, and the corresponding SD noise is the standard deviation
at the same location on the noise images obtained in a separate noise scan.
Imaging parameters for respective sequences
are as follows.
RT-TSE: FOV=330*330mm, voxel
size=1.0*0.8*2.2mm3, TR/TE/FA=2000/643/90, SPIR,
NSA=1, CS-SENSE=4 and (displayed) acquisition time=1min54s.
Conventional
GraSE: FOV=330*330mm, voxel size=1.4*1.8*2.4mm3, TR/TE/FA=300/101/90, TSE factor=10/EPI factor=7, SPIR,
NSA=1, SENSE (phase*slice)=4.0*1.0 and actual acquisition time=20s.
HR SENSE GraSE: FOV=330*330mm, voxel
size=1.4*1.4*2.0mm3, TR/TE/FA=300/93/90, TSE factor=8/EPI factor=7, SPIR,
NSA=1, SENSE=6.0*2.0 and acquisition time=14s.
HR CS
GraSE: FOV=330*330mm, voxel size=1.4*1.4*2.0mm3, TR/TE/FA=300/93/90, TSE
factor=8/EPI factor=7, SPIR, NSA=1, CS-SENSE=12.0 and actual acquisition time=14s.Results and Discussion
Figure1 shows the representative 3D MRCP
images with actual acquisition time using conventional RT-TSE, conventional-GraSE,
HR SENSE12-GraSE and HR CS12-GraSE.
Figure 2 shows the source images of 3D MRCP of breath-holding three
sequences (conventional-GraSE, HR SENSE12-GraSE and HR CS12-GraSE). HR SENSE12-GraSE
showed severe image noise compared to conventional-GraSE. In contrast, HR CS12-GraSE
showed similar SNR to conventional GraSE. Figure 3 shows the results of SNR and
CR measurements among four sequences. RT-TSE showed the highest value for both
SNR and CR, but there was no significant difference in comparison with HR CS12-GraSE.
Figure 4 shows the results of the visual evaluation. HR CS12-GraSE showed the
highest value in all overall image quality, sharpness and noise and artifacts.
For overall image quality, HR CS12-GraSE was significantly higher than HR SENSE12-GraSE
(p<0.001), but not significantly different from RT-TSE to conventional-GraSE.
For sharpness, HR CS12-GraSE was significantly higher than the other three
sequences (p<0.01), and for noise and artifacts, HR CS12-GraSE was
significantly better than RT-TSE and HR SENSE12-GraSE (p<0.001).
The average scan time for conventional RT-TSE
method, conventional-GraSE and HR CS12-GraSE was 2 minutes 40 seconds, 20
seconds and 14 seconds, respectively. Therefore, HR CS12-GraSE can shorten
about 90% of the scan time compared to conventional RT-TSE, and about 25%
compared to conventional-GraSE. From the results of SNR and CR, HR SENSE12-GraSE
had a low SNR due to increased g-factor noise by high SENSE factor. On the
other hand, HR CS12-GraSE had high SNR and improved image quality due to effect
of Compressed SENSE recontraction including denoising (Figure5). HR CS12-GraSE achieved
higher SNR and contrast despite the increased spatial-resolution.Conclusion
Accelerated GraSE combined with Compressed
SENSE provides high-resolution MRCP with high SNR and contrast in a single14
seconds breath-hold.Acknowledgements
No acknowledgements
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