Application of dual-energy CT with metal artifact reduction algorithm in microcoil localization for lung nodules
10.13929/j.1003-3289.201708062
- VernacularTitle:双能量CT联合金属伪影削减算法显示微弹簧圈定位肺结节
- Author:
Zhuo LIU
1
;
Jing MA
;
Nan HONG
;
Lei CHEN
;
Chen CHEN
;
Libao HU
;
Xin ZHI
Author Information
1. 北京大学人民医院放射科
- Keywords:
Tomography,X-ray computed;
Dual-energy;
Artifacts;
Lung nodules;
Microcoil
- From:
Chinese Journal of Medical Imaging Technology
2018;34(2):302-305
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the value of virtual monochromatic spectral (VMS) images acquired from dual-energy spectral CT (DESCT) with metal artifact reduction (MAR) algorithm in CT-guided microcoil localization for lung nodules.Methods Totally 80 patients with lung nodules underwent DESCT after CT-guided microcoil placement.At optimal keV level,VMS images and VMS with MAR algorithm (VMS+MAR) images were reconstructed,and image quality scores were compared.Results 74 keV was selected as the optimal level.The image quality of VMS+ MAR images at 74,90,110 and 140 keV were better than that at 50 keV (all P＜0.05).There was no statistical difference of image quality among 74,90,110 and 140 keV VMS+MAR images (all P＞0.05).At 74 keV,the image quality of VMS+MAR images was better than that of VMS images (P＜0.05).The consistency was good between the 2 observers (Kappa=0.78).Conclusion VMS images at 74 keV with MAR algorithm could reduce artifacts from microcoil,and clearly display lung nodules.
