摘要
目的评价能谱CT去金属伪影(MAR)技术减低单侧髋关节置换物伪影的效果。方法对33例单侧髋关节置换术后患者行能谱CT检查,获取扫描数据后重建70~140 keV(间隔10 keV)MAR和非MAR图像,计算图像伪影指数(AI)和信噪比(SNR),并进行主观评分。选取AI较低和主观评分较高的非MAR单能量图像进行分析,比较不同能级MAR图像和伪影较少非MAR图像的AI和SNR差异。结果非MAR图像110 keV条件下伪影较少。70~140 keV水平MAR图像关节前方、外侧肌肉组织和膀胱处AI值均低于110 keV非MAR图像(P均<0.05),110~140 keV水平MAR图像后方肌肉组织和100~140 keV水平MAR图像髋臼处的AI值均低于110 keV非MAR图像(P均<0.05)。110~140 keV水平MAR图像外侧方肌肉组织SNR高于110 keV非MAR图像(P均<0.05)。高keV水平MAR图像不同区域AI值较70 keV及80 keV减低(P均<0.05)。高于80 keV水平时,MAR图像主观评分均≥3分。结论MAR技术可有效减少单髋关节置换物伪影,提高解剖结构清晰度。
Objective To evaluate the effect of energy spectrum CT metal artifacts reduction(MAR)technology in reducing artifacts of unilateral hip arthroplasty.Methods A total of 33 patients underwent energy spectrum CT after unilateral hip replacement.MAR and non-MAR images were reconstructed at 70-140 keV(interval of 10 keV).Then artifacts index(AI)and signal-to-noise ratio(SNR)of the images were calculated,and subjective scoring was performed.Non-MAR single-energy images with lower AI and higher subjective scores were selected for analysis,and the relative AI and SNR were compared.Results There were less artifacts in non-MAR image at 110 keV.AI values in the anterior,lateral muscle tissues of the joint and bladder at 70-140 keV MAR images were lower than those at 110 keV non-MAR images(all P<0.05).AI values in posterior muscle at 110-140 keV MAR images and in acetabulum at 100-140 keV MAR images were lower than those at 110 keV non-MAR images(all P<0.05).SNR in lateral muscle at 110-140 keV MAR images were higher than that in 110 keV non-MAR(all P<0.05).AI values in different regions at higher KeV level MAR images were lower than those at 70 keV and 80 keV MAR images(all P<0.05).At higher than 80 keV,the subjective scores of MAR images were all≥3.Conclusion MAR technology could effectively reduce artifacts of unilateral hip replacement and improve the clarity of anatomical structures.
作者
李杰
袁源
王春杰
袁慧书
LI Jie;YUAN Yuan;WANG Chunjie;YUAN Huishu(Department of Radiology,Peking University Third Hospital,Beijing 100191,China)
出处
《中国医学影像技术》
CSCD
北大核心
2021年第1期131-135,共5页
Chinese Journal of Medical Imaging Technology
基金
北京大学青年培育基金(BMU2020PYB027)。
