Design and implementation of a practical quality control program for dual-energy CT

被引:6
作者
Green, Crystal A. [1 ]
Solomon, Justin B. [2 ]
Ruchala, Kenneth J. [3 ]
Samei, Ehsan [4 ]
机构
[1] Duke Univ, Med Ctr, Dept Radiol, Clin Imaging Phys Grp, 2424 Erwin Rd,Suite 302, Durham, NC 27705 USA
[2] Duke Univ, Med Ctr, Carl E Ravin Adv Imaging Labs, Clin Imaging Phys Grp, Durham, NC USA
[3] Sun Nucl Corp Middleton, Middleton, WI USA
[4] Duke Univ, Med Ctr, Dept Radiol, Clin Imaging Phys Grp,Carl E Ravin Adv Imaging La, Durham, NC USA
关键词
calcium quantification; dual-energy CT; iodine quantification; quality control; spectral CT; RENAL STONE COMPOSITION; IODINE QUANTIFICATION; DIFFERENTIATION;
D O I
10.1002/acm2.13396
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
A novel routine dual-energy computed tomography (DECT) quality control (QC) program was developed to address the current deficiency of routine QC for this technology. The dual-energy quality control (DEQC) program features (1) a practical phantom with clinically relevant materials and concentrations, (2) a clinically relevant acquisition, reconstruction, and postprocessing protocol, and (3) a fully automated analysis software to extract quantitative data for database storage and trend analysis. The phantom, designed for easy set up for standalone or adjacent imaging next to the ACR phantom, was made in collaboration with an industry partner and informed by clinical needs to have four iodine inserts (0.5, 1, 2, and 5 mg/ml) and one calcium insert (100 mg/ml) equally spaced in a cylindrical water-equivalent background. The imaging protocol was based on a clinical DECT abdominal protocol capable of producing material specific concentration maps, virtual unenhanced images, and virtual monochromatic images. The QC automated analysis software uses open-source technologies which integrates well with our current automated CT QC database. The QC program was tested on a GE 750 HD scanner and two Siemens SOMATOM FLASH scanners over a 3-month period. The automated algorithm correctly identified the appropriate region of interest (ROI) locations and stores measured values in a database for monitoring and trend analysis. Slight variations in protocol settings were noted based on manufacturer. Overall, the project proved to provide a convenient and dependable clinical tool for routine oversight of DE CT imaging within the clinic.
引用
收藏
页码:249 / 260
页数:12
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