AAPM 工作组报告 299:多能计算机断层扫描的质量控制。

IF 3.2 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Medical physics Pub Date : 2024-07-29 DOI:10.1002/mp.17322
Rick R. Layman, Shuai Leng, Kirsten L. Boedeker, Laurel M. Burk, Hao Dang, Xinhui Duan, Megan C. Jacobsen, Baojun Li, Ke Li, Kevin Little, Priti Madhav, Jessica Miller, Jessica L. Nute, Juan Carlos Ramirez Giraldo, Kenneth J. Ruchala, Shengzhen Tao, Vladimir Varchena, Srinivasan Vedantham, Rongping Zeng, Da Zhang
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引用次数: 0

摘要

多能计算机断层扫描(MECT)提供了对特定元素(如碘)或材料(如脂肪)进行高级可视化、检测和量化的机会,超出了标准单能计算机断层扫描(CT)的能力。不过,使用 MECT 需要慎重考虑,因为制造商使用的硬件和软件方法大不相同,包括用户选择的不同参数集或影响 MECT 性能和辐射剂量的隐藏参数集。在设计 MECT 方案时,另一个重要的考虑因素是了解所执行的特定任务,例如区分两种不同的材料或量化特定元素。对于特定任务,必须同时考虑辐射剂量和特定任务的图像质量要求。制定质量控制(QC)计划对于确保这些 MECT 应用的准确性和可重复性至关重要。虽然传统的单能量 CT 已经建立了完善的标准 QC 程序,但单能量 CT 和 MECT 在系统实施、成像协议和临床任务方面存在很大差异,因此有必要针对 MECT 进行专门的 QC 测试。因此,该工作组负责制定系统的质量控制程序,以满足 MECT 应用的需要。在本报告中,我们回顾了市面上的各种 MECT 方法,包括有关硬件实施、MECT 图像类型、图像重建和 MECT 独有的后处理技术的信息。我们讨论了对 MECT 模型的要求,回顾了具有代表性的商用 MECT 模型,并提供了有关自制 MECT 模型的指导。我们讨论了 MECT 方案的制定,在设计时必须认真考虑 MECT 技术、成像任务和辐射剂量。然后,我们从一般图像质量、辐射剂量、区分和量化任务以及诊断和治疗应用等方面概述了具体推荐的质量控制测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AAPM Task Group Report 299: Quality control in multi-energy computed tomography

Multi-energy computed tomography (MECT) offers the opportunity for advanced visualization, detection, and quantification of select elements (e.g., iodine) or materials (e.g., fat) beyond the capability of standard single-energy computed tomography (CT). However, the use of MECT requires careful consideration as substantially different hardware and software approaches have been used by manufacturers, including different sets of user-selected or hidden parameters that affect the performance and radiation dose of MECT. Another important consideration when designing MECT protocols is appreciation of the specific tasks being performed; for instance, differentiating between two different materials or quantifying a specific element. For a given task, it is imperative to consider both the radiation dose and task-specific image quality requirements. Development of a quality control (QC) program is essential to ensure the accuracy and reproducibility of these MECT applications. Although standard QC procedures have been well established for conventional single-energy CT, the substantial differences between single-energy CT and MECT in terms of system implementations, imaging protocols, and clinical tasks warrant QC tests specific to MECT. This task group was therefore charged with developing a systematic QC program designed to meet the needs of MECT applications. In this report, we review the various MECT approaches that are commercially available, including information about hardware implementation, MECT image types, image reconstruction, and postprocessing techniques that are unique to MECT. We address the requirements for MECT phantoms, review representative commercial MECT phantoms, and offer guidance regarding homemade MECT phantoms. We discuss the development of MECT protocols, which must be designed carefully with proper consideration of MECT technology, imaging task, and radiation dose. We then outline specific recommended QC tests in terms of general image quality, radiation dose, differentiation and quantification tasks, and diagnostic and therapeutic applications.

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来源期刊
Medical physics
Medical physics 医学-核医学
CiteScore
6.80
自引率
15.80%
发文量
660
审稿时长
1.7 months
期刊介绍: Medical Physics publishes original, high impact physics, imaging science, and engineering research that advances patient diagnosis and therapy through contributions in 1) Basic science developments with high potential for clinical translation 2) Clinical applications of cutting edge engineering and physics innovations 3) Broadly applicable and innovative clinical physics developments Medical Physics is a journal of global scope and reach. By publishing in Medical Physics your research will reach an international, multidisciplinary audience including practicing medical physicists as well as physics- and engineering based translational scientists. We work closely with authors of promising articles to improve their quality.
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