标准化
工作流程
一致性(知识库)
计算机科学
断层摄影术
计算机断层摄影术
医学物理学
临床实习
定量评估
医学
放射科
人工智能
风险分析(工程)
家庭医学
数据库
操作系统
作者
Kevin Treb,Ahmed O El Sadaney,Andrea Ferrero,Francis Baffour,Shuai Leng,Lifeng Yu,Prabhakar Rajiah,Joel G. Fletcher,Cynthia H. McCollough,Kishore Rajendran
摘要
Abstract Quantitative computed tomography (CT) enables the measurement of biophysical processes characterized by morphology, composition, flow, and/or motion to aid in clinical diagnosis and intervention. Since its initial application for determining bone mineral density for skeletal fragility assessment, quantitative CT has continued to evolve alongside CT’s technological advancements. A key challenge facing quantitative CT is the lack of standardization pertinent to image acquisition, reconstruction, and image analysis. With the introduction of spectral CT involving dual-energy approaches and photon-counting detectors (PCD), we are now able to obtain detailed information regarding mass densities of endogenous and exogeneous materials. Furthermore, energy-resolved CT yields spectral image types (eg, virtual monoenergetic image) that are, in principle, independent of tube potential and patient size. This paves the way for workflow standardization and helps improve the consistency and reproducibility of CT-derived measurements. In this article, we review clinical applications of quantitative CT, discuss key challenges associated with quantitative CT and its adoption into routine practice, and outline the unique benefits ushered by new CT technologies such as PCD-CT towards improving quantitative imaging.
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