摘要
目的:探讨复合灵敏度编码高分辨率扩散加权成像(multiplexed sensitivity encoding diffusion-weighted imaging,MUSE-DWI)在头颅MRI扫描中的应用价值,并与常规头颅扩散加权成像(SS-EPI-DWI)进行比较。方法:采用GE 3.0T MRI(SIGNA Architect)磁共振成像系统,对32例因头晕、头痛接受头颅MRI检查者进行MUSE-DWI和常规DWI序列扫描。由2名影像医生对两组DWI图像质量进行主观评价和客观评价。主观评估内容包括磁敏感伪影、影像清晰度,并进行图像综合评分;客观评价为测量组织信噪比(Signal Noise Ratio,SNR)及表观扩散系数(Apparent Diffusion Coefficient,ADC)值。结果:MUSE-DWI序列图像主观质量评分、SNR值均高于常规DWI序列图像,差异具有统计学意义(P<0.01),而两组图像ADC值之间,差异无统计学意义(P>0.05)。结论:MUSE-DWI序列可以有效提高颅脑DWI的图像质量,减轻由于磁敏感性伪影导致的图像变形。与常规DWI序列相比,其在颅脑检查中应用价值更高。
Objective:To explore the value of multiplexed Sensitivity encoding diffusion-weighted imaging(MUSE-DWI)in brain MRI scanning,and compare it with conventional brain diffusion weighted imaging(SS-EPI-DWI).Methods:Using GE 3.0T MRI(SIGNA Architect)magnetic resonance imaging system,MUSE-DWI and conventional DWI sequence scans were performed in 32 patients with brain MRI examination due to dizziness and headache.The two groups of DWI image quality were evaluated subjectively and objectively by two imaging doctors.Subjective evaluation includes artifacts,image sharpness,and overall image rating.The objective evaluation was to measure the tissue Signal Noise Ratio(SNR)and Apparent Diffusion Coefficient(ADC).Results:The subjective quality score and SNR value of MUSE-DWI sequence images were higher than those of conventional DWI sequence images.The difference was statistically significan(P<0.01),However,there was no significant difference in ADC values between the two groups(P>0.05).Conclusion:MUSE-DWI sequence can effectively improve the image quality of brain DWI and reduce the image deformation caused by magnetic sensitivity artifacts.Compared with conventional DWI sequence,it has higher application value in brain examination.
作者
李刚
罗娜
欧阳佳裕
LI Gang;LUO Na;OUYANG Jia-yu(Department of Radiology,The Third Affiliated Hospital of Sun Yat-sen University,Guangdong 510000,China)
出处
《影像技术》
CAS
2022年第4期25-28,34,共5页
Image Technology
关键词
磁共振成像
弥散加权成像
复合灵敏度编码
Magnetic resonance imaging
Diffusion weighted imaging
multiple sensitivity encoding