摘要
目的探究人工智能辅助下的压缩感知(artificial intelligence-assisted compressed sensing,ACS)技术对鞍区多参数集成序列(MULTI-parametric MR imaging with flexible design,MTP)成像的影响,并进行优化,筛选最合适的加速因子(acceleration factor,AF)。材料与方法前瞻性纳入受试者41例。其中鞍区病变患者27例,健康志愿者14例。所有受试者使用3.0 T MRI行不同加速因子的MTP序列扫描,包括敏感性编码(sensitivity encoding,SENSE)技术的AF=3和ACS技术的AF=3、4、5和6(分别简写为SENSE3、ACS3、ACS4、ACS5和ACS6)。由MTP序列得到T1 map、R2*map、T2*map、T1WI、质子密度加权成像(proton density weighted imaging,PDWI)图像。两名观察者分别在不同AF序列的参数图及加权图上测量病灶、脑灰质信号强度(signal intensity,SI)及定量参数,测量脑白质SI、噪声强度(standard deviation,SD)及定量参数。分别计算两组不同AF之间的定量参数值,信噪比(signal-to-noise ratio,SNR)、对比噪声比(contrast-to-noise ratio,CNR)。根据图像伪影、病变显著性、灰白质分界清晰度采用五分评分法对图像质量进行主观评分。使用Kappa检验两观察者主观评分的一致性;采用组内相关系数(intra-class correlation coefficients,ICC)检验两名观察者客观测量数据的一致性。使用Friedman秩和检验或单因素ANOVA检验分析不同AF之间定量值、SNR、CNR及主观评分的差异。结果两位观察者测量数据一致性良好(ICC:0.836~0.998,Kappa:0.839~0.909)。选择高年资观察者的主观评分及测量数据进行后续分析。两组各序列不同AF之间,定量值差异均无统计学意义(P>0.05);所测的SNR和CNR在不同的AF下差异具有统计学意义(P<0.05)。优化后不同AF(3~6)的ACS序列的扫描时间较SENSE3序列时间分别缩短21.21%、40.77%、52.62%、61.16%。与SENSE3序列相比,当ACS3、4时,T1WI图像和PDWI图像的SNR、CNR升高,差异具有统计学意义(P<0.05)。当ACS5、6时,PDWI图像的SNR升高,差异具有统计学意义(P<0.05);其余数据差异无统计学意义(P>0.05)。在不同AF之间,相比SENSE3序列图像,ACS5、6序列的灰白质分界清晰度主观评分降低,差异具有统计学意义;ACS6序列的病变显著性主观评分降低,差异具有统计学意义;其余数据差异无统计学意义(P>0.05)。结论本研究结果显示采用ACS能够进一步优化MTP序列,综合时间和图像质量的平衡考虑,ACS4值得推荐,能获得质量可靠定量参数及定性图像。
Objective:To investigate the impact of artificial intelligence-assisted compressed sensing(ACS)technology on the imaging of the MULTI-parametric MR imaging with flexible design sequences(MTP)in the saddle area,and to optimize and select the most suitable acceleration factor(AF).Materials and Methods:Forty-one patients were prospectively included.There were 27 patients with sellar lesions and 14 healthy volunteers.All subjects underwent MTP sequential scanning with different AF using 3.0 T MRI.These included AF=3 for sensitivity encoding(SENSE)and AF=3,4,5 and 6 for ACS technology(abbreviated SENSE3,ACS3,ACS4,ACS5 and ACS6,respectively).The images of T1 map,R2*map,T2*map,T1WI and proton density weighted imaging(PDWI)were obtained from the MTP sequence.The signal intensity(SI)and quantitative parameters of the lesions and gray matter were measured by two observers on the parameter maps and weighted maps of different AF sequences,respectively.SI,standard deviation(SD)and quantitative parameters of white matter were measured.The quantitative parameter values,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR),between the two groups of different AF were calculated respectively.According to image artifacts,lesion significance and gray matter demarcation clarity,five-point scoring method was used to evaluate the image quality.Kappa was used to test the consistency of subjective scores between the two observers.Intra-class correlation coefficients(ICC)were used to test the consistency of objective measurements between two observers.The differences in quantitative values,SNR,CNR and subjective scores among different AF were analyzed using Friedman rank sum test or single factor ANOVA test.Results:There was a good agreement between the two observers(ICC:0.836-0.998,Kappa:0.839-0.909).The subjective scores and measurement data of senior observers were selected for follow-up analysis.There was no significant difference in quantitative values among different AF sequences(P>0.05).The measured SNR and CNR were different under different AF,and there was statistical significance(P<0.05).After optimization,the scanning time of ACS sequences with different AF(3-6)was reduced by 21.21%,40.77%,52.62%and 61.16%,respectively,compared with that of SENSE3 sequences.Compared with SENSE3 sequence,SNR and CNR of T1WI image and PDWI image were increased when ACS3 and 4 were used,and the difference was statistically significant(P<0.05).When ACS5,6,the SNR of PDWI images increased,and the difference was statistically significant(P<0.05).There was no significant difference in other data(P>0.05).Compared with SENSE3 sequence images,the subjective score of gray-white matter demarcation clarity in ACS5 and 6 sequences was lower among different AFS,and the difference was statistically significant.The subjective score of lesion significance of ACS6 sequence decreased,and the difference was statistically significant.There was no significant difference in other data(P>0.05).Conclusions:The results of this study show that using ACS can further optimize MTP sequences.Comprehensively considering time and image quality,ACS4 is recommended,with scan time reduced by 40.77%,and able to obtain reliable quantitative parameters and qualitative images.
作者
罗贺丹
刘杨颖秋
张浩南
刘娜
张煜堃
袁畅
孙嘉忆
宋清伟
苗延巍
LUO Hedan;LIU Yangyingqiu;ZHANG Haonan;LIU Na;ZHANG Yukun;YUAN Chang;SUN Jiayi;SONG Qingwei;MIAO Yanwei(Department of Radiology,First Affiliated Hospital of Dalian Medical University,Dalian 116011,China;Department of Radiology,Dalian Public Health Clinical Center,Dalian 116031,China;Department of Radiology,Zibo Central Hospital,Zibo 255000,China)
出处
《磁共振成像》
CAS
CSCD
北大核心
2024年第12期150-156,共7页
Chinese Journal of Magnetic Resonance Imaging
基金
辽宁省教育厅科学研究经费项目(编号:LJKZ0856)。
关键词
多参数集成序列
压缩感知
人工智能
鞍区
磁共振成像
multi-parameter synthetic sequence
compressed sensing
artificial intelligence
saddle region
magnetic resonance imaging
