Application value of new accelerating technology based on constellation shuttling imaging in brain MRI

doi:10.16150/j.1671-2870.2021.04.009

Abstract

Abstract:

Objective: To evaluate the image quality of brain MRI sequences accelerated by constellation shuttling imaging (uCS) to provide a basis for clinical application. Methods: Twenty volunteers underwent brain MRI scanning （TSE axial T1WI, T2-FLAIR, sagittal T1WI and GRE sagittal 3D-T1WI） twice using parallel imaging (routine scanning) and corresponding uCS accelerated acquisition. The evaluation of images in each sequence was conducted through combining the subjective (Likert five-point scale method, image artifact and overall quality) and objective (signal-to-noise ratio measurement) methods. Results: The scanning time of using uCS in each MRI sequence was shorter than that of conventional scanning. The total scanning time of uCS in each volunteer was 542 s, while that of conventional scanning was 735 s, which decreased 26.3%. The scanning time of 3D sequence was nearly reduced 39%. There is no statistically difference between uCS and conventional sequence in subjective evaluation (overall image quality and image artifact degree). The SNR of uCS axial T1WI and sagittal T1WI sequences was significantly higher than those of conventional axial T1WI and sagittal T1WI sequences(P<0.05). In addition, there was no difference between uCS and conventional scanning in SNR of FLAIR and 3D-T1WI sequences. Conclusions: Compared with conventional scanning, uCS can significantly accelerate the acquisition of brain MR images without loss of image quality.

Key words: magnetic resonance imaging, constellation shuttling imaging, compressedsensing, image quality

CLC Number:

R445.2

ZHANG Xuekun, LI Yan, YAN Fuhua, ZHAO Hongfei, SONG Qi. Application value of new accelerating technology based on constellation shuttling imaging in brain MRI[J]. Journal of Diagnostics Concepts & Practice, 2021, 20(04): 378-383.

Figures/Tables 9

References 21

[1]	Toledano-Massiah S, Sayadi A, de Boer R, et al. Accuracy of the compressed sensing accelerated 3D-FLAIR sequence for the detection of MS plaques at 3T[J]. AJNR Am J Neuroradiol, 2018,39(3):454-458. doi: 10.3174/ajnr.A5517 URL
[2]	Bratke G, Rau R, Weiss K, et al. Accelerated MRI of the lumbar spine using compressed sensing: quality and efficiency[J]. J Magn Reson Imaging, 2019,49(7):e164-e175.
[3]	Chopde N. 10 Times Faster MRI constellation shuttling imaging technology showcased at ISMRM 2018[DB/OL]. 2018[2021-02-18]. https://indiamedtoday.com/10-times-faster-mri-constellation-shuttling-imaging-technology-show-cased-at-ismrm-2018/.
[4]	Sharma SD, Fong CL, Tzung BS, et al. Clinical image quality assessment of accelerated magnetic resonance neuroimaging using compressed sensing[J]. Invest Radiol, 2013,48(9):638-645. doi: 10.1097/RLI.0b013e31828a012d pmid: 23538890
[5]	Sartoretti T, Reischauer C, Sartoretti E, et al. Common artefacts encountered on images acquired with combined compressed sensing and SENSE[J]. Insights Imaging, 2018,9(6):1107-1115. doi: 10.1007/s13244-018-0668-4 URL
[6]	Vranic JE, Cross NM, Wang Y, et al. Compressed sen-sing-sensitivity encoding (CS-SENSE) accelerated brain imaging: reduced scan time without reduced image quality[J]. AJNR Am J Neuroradiol, 2019,40(1):92-98. doi: 10.3174/ajnr.A5905 URL
[7]	American College of Radiology. MRI accreditation program clinical image quality guide[R/OL]. 2013-05-22[2021-02-18]. https://www.docin.com/p-671276537.html.
[8]	王思敏, 李彦, 严福华, 等. 不同医用磁共振成像设备在中枢神经系统的临床图像质量评价与比较研究[J]. 磁共振成像, 2019,10(2):83-88.
[9]	康立丽, 江倩, 何秀坚. MR图像信噪比不同测试方法对比研究[J]. 实用放射学杂志, 2009,25(5):729-732.
[10]	Pruessmann KP, Weiger M, Scheidegger MB, et al. SENSE: sensitivity encoding for fast MRI[J]. Magn Reson Med, 1999,42(5):952-962. pmid: 10542355
[11]	Jaspan ON, Fleysher R, Lipton ML. Compressed sensing MRI: a review of the clinical literature[J]. Br J Radiol, 2015,88(1056):20150487. doi: 10.1259/bjr.20150487 URL
[12]	Lustig M, Donoho D, Pauly JM. Sparse MRI: The application of compressed sensing for rapid MR imaging[J]. Magn Reson Med, 2007,58(6):1182-1195. doi: 10.1002/mrm.21391 URL
[13]	Tam LK, Galiana G, Stockmann JP, et al. Pseudo-random center placement O-space imaging for improved incohe-rence compressed sensing parallel MRI[J]. Magn Reson Med, 2015,73(6):2212-2224. doi: 10.1002/mrm.25364 URL
[14]	Otazo R, Kim D, Axel L, et al. Combination of compressed sensing and parallel imaging for highly accelera-ted first-pass cardiac perfusion MRI[J]. Magn Reson Med, 2010,64(3):767-776. doi: 10.1002/mrm.22463 URL
[15]	Liang D, Liu B, Wang J, et al. Accelerating SENSE using compressed sensing[J]. Magn Reson Med, 2009,62(6):1574-1584. doi: 10.1002/mrm.22161 pmid: 19785017
[16]	Mönch S, Sollmann N, Hock A, et al. Magnetic resonance imaging of the brain using compressed Sensing- Quality Assessment in Daily Clinical Routine[J]. Clin Neuroradiol, 2020,30(2):279-286. doi: 10.1007/s00062-019-00789-x URL
[17]	张晓东, 朱丽娜, 马帅, 等. 压缩感知技术在头MRA的初步应用探索[J]. 放射学实践, 2018,33(3):252-255.
[18]	李爽, 陆敏杰, 赵世华. 压缩感知技术及其在心脏磁共振中的应用进展[J]. 磁共振成像, 2018,9(4):299-302.
[19]	Feng L, Benkert T, Block KT, et al. Compressed sensing for body MRI[J]. J Magn Reson Imaging, 2017,45(4):966-987. doi: 10.1002/jmri.25547 pmid: 27981664
[20]	Ding Y, Ying L, Zhang N, et al. Noise behavior of MR brain reconstructions using compressed sensing[J]. Annu Int Conf IEEE Eng Med Biol Soc, 2013,2013:5155-5158.
[21]	Eichinger P, Hock A, Schön S, et al. Acceleration of double inversion recovery sequences in multiple sclerosis with compressed sensing[J]. Invest Radiol, 2019,54(6): 319-324. doi: 10.1097/RLI.0000000000000550 pmid: 30720557

参数名称	T1_tra	T1_sag	T2_tra	3D_T1_sag
重复时间(ms)	2015	500	8 000	7.2
回波时间(ms)	10.4	8.64	104.7	3.1
反转时间(ms)	870		2 425	750
激发反转角(度)	90	90	90	10
读出视野×相位视野	230×200	240×240	230×200	256×256
间距（%）	30	30	30	1
层厚(mm)	5	5	5	1
层数	19	19	19	200
体素 (mm³)	1.82	2.81	3.61	1
插值	0	0	0	1
平均次数	1	2	2	1
相位过采样	0	0	0	0
相位编码方向	R>L	A>P	R>L	A>P
相位加速因子	2	2	2	2
CS因子	2.3	2	2.2	3.2
带宽(Hz/Px)	180	235	300	250

扫描序列	uCS扫描时间（s）	常规扫描时间（s）	缩短时间占比（%）
T1	112	145	22.8
T1_sag	108	122	11.5
FLAIR	144	176	18.2
3D_T1_sag	178	292	39.0

评价标准	uCS-T1WI					常规T1WI					P值	Z值
评价标准	1分	2分	3分	4分	5分	1分	2分	3分	4分	5分	P值	Z值
伪影	0	0	1	7	13	0	0	1	5	14	1.000	<0.001
综合评价	0	0	0	7	13	0	0	1	5	14	0.257	-1.134

评价标准	uCS-T1_sag					常规T1_sag					P值	Z值
评价标准	1分	2分	3分	4分	5分	1分	2分	3分	4分	5分	P值	Z值
伪影	0	0	9	11	0	0	0	6	13	1	0.248	-1.155
综合评价	0	0	9	11	0	0	0	6	13	1	0.593	-0.535

评价标准	uCS-FLAIR序列					常规FLAIR序列					P值	Z值
评价标准	1分	2分	3分	4分	5分	1分	2分	3分	4分	5分	P值	Z值
伪影	0	0	0	8	12	0	0	0	8	12	1.000	<0.001
综合评价	0	0	0	8	12	0	0	0	8	12	1.000	<0.001