头颈联合3D-TOF-MRA人工智能辅助压缩感知序列的优化  

Optimization of artificial intelligence-assisted compressed sensing sequences for cerebral and carotid 3D-TOF-MRA

作　　者：袁畅 张煜堃 曹家骏 宋清伟[1] 苗延巍[1] YUAN Chang;ZHANG Yukun;CAO Jiajun;SONG Qingwei;MIAO Yanwei(Department of Radiology,the First Affiliated Hospital of Dalian Medical University,Dalian 116011,China)

机构地区：[1]大连医科大学附属第一医院放射科,大连116011

出　　处：《磁共振成像》2024年第4期139-144,152,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)。

摘　　要：目的通过比较施加不同加速因子(acceleration factors,AF)的并行采集(parallel imaging,PI)、压缩感知(compressed sensing,CS)、人工智能-压缩感知(artificial intelligence compressed sensing,ACS)技术的头颈联合三维时间飞跃法磁共振血管成像(three-dimensional time-of-fight magnetic resonance angiography,3D-TOF-MRA)的图像质量,选取优化序列。材料与方法前瞻性招募24例健康志愿者,以PI的AF为3(PI 3)、CS的AF分别为4和6(CS 4、CS 6)以及ACS的AF分别为4、6、8、10(ACS 4、ACS 6、ACS 8、ACS 10)进行头颈联合3D-TOF-MRA扫描。扫描时间:PI 3=8 min 40 s;CS 4=6 min 38 s;CS 6=4 min 9 s;ACS 4=5 min 24 s;ACS 6=4 min 30 s;ACS 8=4 min 13 s;ACS 10=3 min 24 s。分别在双侧大脑中动脉(middle cerebral artery,MCA)M1段、双侧颈内动脉(internal carotid artery,ICA)C4段、颈动脉分叉处下5个层面的双侧颈总动脉(common carotid artery,CCA)以及MCA及ICA同一层面的颞叶白质,CCA同一层面的胸锁乳突肌作为背景区域勾画感兴趣区(regions of interest,ROI),记录信号强度(signal intensity,SI)及标准差(standard deviation,SD),从而计算信噪比(signal-to-noise ratio,SNR)与对比噪声比(contrast-to-noise ratio,CNR)。采用四分法和五分法分别对整体图像质量以及颅内动脉、颈部大动脉进行评分。以组内相关系数(intra-class correlation coefficient,ICC)比较两名放射医师之间及同一名放射医师内客观评价结果的一致性,Kappa检验比较两名放射医师之间及同一名放射医师内主观评价结果的一致性,若一致性良好,则选取其中一位医师的客观评分及主观评分进行后续统计分析。采用单因素方差分析或Kruskal-Wallis检验对客观评分以及主观评分进行总体差异比较,若差异具有统计学意义则进行两两比较。结果与PI技术比较显示,ACS 4~ACS 8的SNR_(L-MCA),ACS 8、ACS 10的CNR_(L-MCA),ACS 4、ACS 6、ACS 10的CNR_(R-MCA),ACS 4~ACS 10的SNR_(R-MCA)、SNR_(L-CCA)、CNR_(L-CCA),ACS Objective:By comparing the application of different acceleration factors(AF)in parallel imaging(PI),compressed sensing(CS),and artificial intelligence-compressed sensing(ACS)techniques for three-dimensional time-of-flight magnetic resonance angiography(3D-TOF-MRA)in the cerebral and carotid region,to select an optimized acceleration factor for ACS.Materials and Methods:Twenty-four healthy volunteers were prospectively recruited and underwent cerebral and carotid 3D-TOF-MRA scanning with AF of 3 in PI(PI 3),4 and 6 in CS(CS 4 and CS 6),and 4,6,8 and 10 in ACS(ACS 4,ACS 6,ACS 8 and ACS 10).Scan durations were:PI 3=8 min 40 s;CS 4=6 min 38 s;CS 6=4 min 9 s;ACS 4=5 min 24 s;ACS 6=4 min 30 s;ACS 8=4 min 13 s;ACS 10=3 min 24 s.Regions of interest(ROIs)were delineated in bilateral middle cerebral artery(MCA)at M1 segment,bilateral internal carotid artery(ICA)at C4 segment,five levels below the bifurcation of the carotid artery in bilateral common carotid artery(CCA),and temporal white matter at the same level as MCA and ICA,with the sternocleidomastoid muscle at the same level as CCA serving as the background region.Signal intensity(SI)and standard deviation(SD)were recorded to calculate signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR).Image quality was assessed using four-point and five-point scales for overall image quality,intracranial arteries,and major neck arteries.Intra-class correlation coefficient(ICC)was used to compare the consistency of objective evaluations between two radiologists and within the same radiologist,while Kappa test was employed to compare the consistency of subjective evaluations.If consistency was satisfactory,objective and subjective ratings from one radiologist were selected for subsequent analysis.One-way ANOVA or Kruskal-Wallis test was used to compare overall differences in objective and subjective ratings,with post hoc tests conducted for statistically significant differences.Results:Compared with PI,there were statistically significant differences(P<0.05)in SNR_(L-MCA) of AC

关 键 词：并行采集 压缩感知 人工智能-压缩感知 头颈联合三维时间飞跃法磁共振血管成像 磁共振成像 

分 类 号：R445.2[医药卫生—影像医学与核医学] R743.3[医药卫生—诊断学]