Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM Radiation Therapy Committee Task
Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM Radiation Therapy Committee Task
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DOI：
10.1002/mp.12256
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发表时间：
2017-07-01
期刊：
影响因子：
3.8
通讯作者：
Kessler, Marc L.
中科院分区：
文献类型：
--
作者：
Brock, Kristy K.;Mutic, Sasa;Kessler, Marc L.
图像配准和融合算法几乎存在于放射治疗中创建或使用图像的每个软件系统中。大多数治疗计划系统支持某种形式的图像配准和融合，以允许使用多模态和时间序列图像数据，甚至解剖图谱来辅助靶体积和正常组织描绘。治疗递送系统执行计划图像与在治疗期间采集的室内图像之间的配准和融合，以辅助患者定位。先进的应用程序开始支持每日剂量评估，并启用自适应放射治疗，使用图像配准和融合来传播轮廓并在治疗过程中获取的图像数据之间累积剂量，以提供解剖变化和输送剂量的最新估计。该信息有助于检测可能引起治疗计划或处方变化的解剖和功能变化，由于图像配准过程的输出始终用作另一个计划或输送过程的输入，因此理解和传达与软件相关的一般不确定性和特定配准结果非常重要。不幸的是，没有标准的数学形式来执行这一现实世界的情况下，噪声，失真，和复杂的解剖变异可能发生。软件系统性能的验证也由于缺乏商业系统的可用文档而变得复杂，导致这些系统以不期望的“黑盒”方式使用。鉴于这种情况以及图像配准和融合在治疗计划和实施中所起的中心作用，美国医学物理学家协会的治疗物理委员会委托第132工作组审查当前的图像配准方法和解决方案（刚性和可变形），并为这些临床过程的质量保证和质量控制提供建议。(C)2017年美国医学物理学家协会
Image registration and fusion algorithms exist in almost every software system that creates or uses images in radiotherapy. Most treatment planning systems support some form of image registration and fusion to allow the use of multimodality and time-series image data and even anatomical atlases to assist in target volume and normal tissue delineation. Treatment delivery systems perform registration and fusion between the planning images and the in-room images acquired during the treatment to assist patient positioning. Advanced applications are beginning to support daily dose assessment and enable adaptive radiotherapy using image registration and fusion to propagate contours and accumulate dose between image data taken over the course of therapy to provide up-to-date estimates of anatomical changes and delivered dose. This information aids in the detection of anatomical and functional changes that might elicit changes in the treatment plan or prescription.As the output of the image registration process is always used as the input of another process for planning or delivery, it is important to understand and communicate the uncertainty associated with the software in general and the result of a specific registration. Unfortunately, there is no standard mathematical formalism to perform this for real-world situations where noise, distortion, and complex anatomical variations can occur. Validation of the software systems performance is also complicated by the lack of documentation available from commercial systems leading to use of these systems in undesirable 'black-box' fashion.In view of this situation and the central role that image registration and fusion play in treatment planning and delivery, the Therapy Physics Committee of the American Association of Physicists in Medicine commissioned Task Group 132 to review current approaches and solutions for image registration ( both rigid and deformable) in radiotherapy and to provide recommendations for quality assurance and quality control of these clinical processes. (C) 2017 American Association of Physicists in Medicine