kong xiangchuang1, Tianjing Zhang2, Jiazheng Wang3, Qian Qi4, Zhenyang Zhou1, and Dingxi Liu1
1radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2Clinical Science, Philips Healthcare, Shenzhen, China, 3Clinical Science, Philips Healthcare, Beijing, China, 4Philips Healthcare, Beijing, China
Synopsis
The aim of this study was to reduce the
scan time of 3D Nerve-view using Compressed Sensing-Sensitivity Encoding (CS),
and evaluate the image quality and capability of diagnosis of accelerated 3D Nerve-view
sequences. 3D Nerve-view sequences with 5 different CS (compressed
sense technology) accelerating factors (4,6,8,10,15), and a traditional 3D Nerve-view
with 4-fold parallel imaging (sense) as a clinical reference were obtained.The 3D-CS sequence offer comparable
diagnostic quality to the clinical 3D scan with much less time, potentially
increasing the productivity of MR scanners.CS-3D Nervview with factor 6 offer equilibrium
between comparable clinical diagnostic quality with less scan time (235seconds).
Objective
High resolution visualization of brachial plexus
using 3D Turbo-Spin-Echo (3D-TSE) sequence with contrast-enhancement is
important for the evaluation of brachial plexus diseases(1). Motion artifacts have become challenging to
image quality with increasing three-dimensional resolution due to the
increasing imaging time(2). The objective of
this study was to accelerate 3D-TSE-based brachial plexus imaging with a
combination of compressed-sensing and sensitivity-encoding (CS-SENSE)
techniques and evaluate the image quality and diagnosis performance at
different acceleration factors.Methods
Forty-five patients
with suspected brachial plexus diseases were
consecutively enrolled, who underwent MR studies on a 3T scanner (Ingenia CX,
Philips Healthcare, Best, the Netherlands), and study approved by the local IRB.
3D-TSE sequences (commercially available as 3D-NerveView) with 5 different CS-SENSE
acceleration factors (4,6,8,10,15) were scanned and compared against the same
sequence with 4-fold SENSE acceleration (clinical reference). All other imaging
parameters were kept the same. All images were graded by two radiologists with >10
years’ experience in MR neurography for image quality (on a 5-point scale). Quantitative
analysis was performed to evaluate the image quality on signal-to-noise ratio
(SNR) and contrast-to-noise ratio (CNR). The similarity between the CS-SENSE
accelerated images and the clinical reference was evaluated using the pixelwise
root mean square error (RMSE) and structural similarity index (SSIM) (3).The scan time of each sequence were recorded. An analysis of
variance with repeated measurements and the Friedman test was used to test for
potential difference between the sequences.Results
The mean values of the RMSE ranged from
73.38 ± 15.91 for CS 4 to 234.66 ± 43.56 for CS 15, while SSIM was highest for
CS 4 with 99.21% ± 2.23% and lowest for CS 15 with 87.90% ± 5.32%. The scan
time with SENSE 4,CS-SENSE 4, CS-SENSE 6, CS-SENSE 8, CS-SENSE 10, and CS-SENSE
15 was 669s,350s,235s,176s,143s,95s, respectively. The mean subjective score from
both radiologists was 4.2
0.3 for CS-SENSE images with
acceleration rate below 8. There was no statistical difference in the brachial
plexus to surrounding tissue contrast between CS factor 4-6, and the lesion
display of the brachial plexus had no statistical difference. The images of CS factor
above 10 had no diagnosis value, implying a maximum CS-SENSE acceleration
factor of 6 in this study.Conclusion
In conclusion, 3D-TSE contrast-enhanced sequence
with CS-SENSE acceleration rate up to 6 with satisfactory diagnostic performance
and dramatically reduced imaging time (reduced by 64.9% from the clinical
reference), which may potentially enhance the hospital workflow. Acknowledgements
Many thanks to Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology.
Many thanks to MR Collaborations, Clinical Science, Philips Healthcare, China
References
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Sollmann N, et al. Improved Brachial Plexus Visualization Using an Adiabatic
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Wang Y, Hippe DS, de Weerdt E, Mossa-Basha M. Compressed Sensing–Sensitivity Encoding
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