摘要
目的:探讨非对称回波最小二乘估算法迭代水脂分离技术(IDEAL)在肩关节MRI中的可行性,并与传统频率选择脂肪抑制技术(Fat)技术进行对照。方法:选取2023年7月至2023年11月扬州大学附属医院收治的20例行肩部MRI扫描的患者为研究对象,行MRI肩部扫描时分别结合Fat、IDEAL两种不同的脂肪抑制技术。根据评分标准,由两位放射科医师各自独立对两组图像的磁敏感伪影、运动伪影、脂肪抑制效果和整体图像质量进行定性分级评分,并测量比较两组图像的冈上肌、肱骨头和三角肌的信噪比(SNR)、冈上肌与肱骨头的对比噪声比(CNR1)和三角肌与肱骨头的对比噪声比(CNR2)。结果:定性分析:IDEAL组在磁敏感伪影、脂肪抑制效果和整体图像质量评分均优于Fat组,而在运动伪影评分低于Fat组(所有P<0.05);定量分析:IDEAL组冈上肌、肱骨头和三角肌的SNR、冈上肌与肱骨头的CNR1和三角肌与肱骨头的CNR2均优于Fat组(所有P<0.05)。结论:在肩关节MRI扫描中,IDEAL技术较Fat技术能更好地控制图像的磁敏感伪影、获得更好的图像质量和脂肪抑制效果,但对运动伪影更加敏感。
Objective:To explore the feasibility of iterative decomposition of water and fat with echo asymmetric and least-squares estimation(IDEAL)in shoulder MRI,and compare it with the traditional frequency selective fat suppression(Fat)technology.Methods:Twenty patients who underwent shoulder MRI scanning in the Affiliated Hospital of Yangzhou University from July 2023 to November 2023 were selected as the research objects.Both Fat and IDEAL were applied in MRI shoulder scanning.According to the scoring criteria,two groups of MRI images were evaluated by two radiologists qualitatively(magnetic sensitivity artifacts,motion artifact,fat suppression effect,and overall image quality)and quantitatively(SNR of supraspinatus,head of humerus and deltoid muscles,CNR1 of supraspinatus,head of humerus,and CNR2 of deltoid and head of humeral).Results:Qualitative analysis:the IDEAL group images were superior to the Fat group images in terms of magnetic sensitivity artifact,fat suppression effect and overall image quality,while the motion artifact scores were lower than the Fat group(all P<0.05).Quantitative analysis:SNR and CNR values of the regions of interest(ROIs)in the IDEAL group were significantly higher than those in the Fat group(all P<0.05).Conclusion:Compared with Fat,IDEAL can significantly reduce magnetic sensitive artifacts,obtain better image quality and suppression effect,and it is more sensitive to motion artifact in terms of shoulder MRI scanning.
作者
薛贞龙
吉诗苑
赵义
谢晓亮
XUE Zhenlong;JI Shiyuan;ZHAO Yi;XIE Xiaoliang(Department of Radiology,the Affiliated Hospital of Yangzhou University,Jiangsu 225100,China;Kangda College,Nanjing Medical University,Jiangsu 222020,China)
出处
《影像技术》
CAS
2024年第5期10-14,19,共6页
Image Technology
基金
扬州市“十三五”科教强卫工程重点学科资助项目(编号:ZDXK20186)。
关键词
肩关节
水脂分离技术
磁共振成像
质量控制
shoulder
water-fat separation technique
magnetic resonance imaging
quality control