摘要
目的探讨3D自由呼吸径向采集K空间放射填充容积内插成像(Star VIBE)序列在儿童腹部MR增强检查中的应用价值。方法对72例患儿采用超快速小角度激发(tfl)梯度回波序列及3D自由呼吸Star VIBE序列进行腹部增强MR扫描,对2种扫描序列得到的增强T1WI进行主观评分,并测量其SNR和CNR,比较2种图像的差异。结果 3D自由呼吸Star VIBE序列图像呼吸运动伪影、肝内血管和下腔静脉结构显示、胃肠道蠕动伪影、病灶清晰度和整体图像质量评分均高于tfl序列(P均<0.001)。3D自由呼吸Star VIBE序列的SNR为25.14(20.42,30.50),CNR为9.20(7.36,10.42),tfl序列的SNR为20.67(19.00,23.50),CNR为6.08(3.00,8.50);3D自由呼吸Star VIBE序列的SNR、CNR均高于tfl序列(P均<0.001)。结论 3D自由呼吸Star VIBE序列可明显减少儿童腹部增强MRI运动伪影,增加SNR和CNR,对于诊断儿童腹部病变具有重要临床应用价值。
Objective To explore the application value of 3D free-breathing Star VIBE sequence in abdominal contrast-enhanced MR scanning of children. Methods Totally 72 children with abdominal lesions underwent contrast-enhanced MR scanning with 3D free-breathing Star VIBE sequence and turbo fast low angle shot (tfl) sequence,respectively.The enhanced T1W images obtained with two scanning sequences were scored subjectively,and SNR and CNR were calculated objectively. Results The scores of respiratory motion artifacts,intrahepatic vascular and inferior vena cava structure display,gastrointestinal peristalsis artifacts,lesion clarity and overall image quality score on 3D free-breathing Star VIBE sequence images were higher than those on tfl sequence images (all P <0.001).SNR and CNR of 3D free breathing Star VIBE sequence were 25.14 (20.42,30.50),9.20 (7.36,10.42),of tfl sequence were 20.67 (19.00,23.50) and 6.08(3.00,8.50),respectively.SNR and CNR of 3D free-breathing Star VIBE sequence were higher than those of tfl sequence (all P <0.001). Conclusion 3D free-breathing Star VIBE sequence can significantly reduce motion artifacts and increase SNR and CNR,demonstrating important clinical value in diagnosis of abdominal diseases in children.
作者
杨凯华
陈志平
尹世庚
郑彬
YANG Kaihua;CHEN Zhiping;YIN Shigeng;ZHENG Bin(Department of Radiology,Children's Hospital Affiliated to Zhengzhou University,Zhengzhou 450018,China;Department of Radiology,the Medical Group ofZhengzhouFirst People's Hospital,Zhengzhou 450004,China)
出处
《中国医学影像技术》
CSCD
北大核心
2019年第4期601-604,共4页
Chinese Journal of Medical Imaging Technology
