数字增强无线通信
医学
工作流程
投影(关系代数)
放射科
医学物理学
核医学
计算机科学
算法
数据库
电信
无线
作者
Ryan Chung,Bari Dane,Benjamin M. Yeh,Desiree E. Morgan,Dushyant V. Sahani,Avinash Kambadakone
标识
DOI:10.1016/j.rcl.2023.05.002
摘要
Compared to conventional single-energy CT (SECT), dual-energy CT (DECT) provides additional information to better characterize imaged tissues. Approaches to DECT acquisition vary by vendor and include source-based and detector-based systems, each with its own advantages and disadvantages. Despite the different approaches to DECT acquisition, the most utilized DECT images include routine SECT equivalent, virtual monoenergetic, material density (eg, iodine map), and virtual non-contrast images. These images are generated either through reconstructions in the projection or image domains. Designing and implementing an optimal DECT workflow into routine clinical practice depends on radiologist and technologist input with special considerations including appropriate patient and protocol selection and workflow automation. In addition to better tissue characterization, DECT provides numerous advantages over SECT such as the characterization of incidental findings and dose reduction in radiation and iodinated contrast.
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