Automatic patient alignment system using 3D ultrasound
Automatic patient alignment system using 3D ultrasound
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DOI：
10.1118/1.4795129
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发表时间：
2013-04-01
期刊：
影响因子：
3.8
通讯作者：
Goldner, Gregor
中科院分区：
文献类型：
--
作者：
Kaar, Marcus;Figl, Michael;Goldner, Gregor
目的：放射治疗的最新发展，如调强放射治疗（IMRT）或剂量绘画承诺提供更好的肿瘤剂量分布。为了有效地应用这些方法，患者的精确定位以及被照射器官和周围结构的定位是至关重要的。特别是在前列腺治疗方面，超声（US）允许区分软组织，因此可通过各种重新定位系统（如BAT或Clarity）应用。作者建立了一个新的系统，它使用3D US在两个网站，CT室和介入室，并适用于3D/3D US/US注册自动reposition.Methods：在第一步中，作者应用图像预处理方法，准备美国图像的最佳配准过程。对于3D/3D配准程序，评价了5个不同的指标。为了找到最适合特定患者的图像度量，在CT部位拍摄了三幅3D US图像并彼此配准。根据这些结果计算US配准误差。然后将最成功的图像度量应用于US/US配准过程。以ExacTrac系统的结果作为金标准，对整个重新定位方法的成功进行评估。结果：根据Mattes（11名患者）的互信息度量，发现US/US配准误差为2.99 +/- 1.54 mm，这是最合适的评估度量。对于完整的重新定位链的误差为4.15 +/- 1.20 mm（10例患者）。结论：作者开发了一个系统，患者重新定位，自动工作，无需用户交互的准确性，这似乎是适合临床应用。(C)2013年美国医学物理学家协会。[http：//dx.doi.org/10.1118/1.4795129]
Purpose: Recent developments in radiation therapy such as intensity modulated radiotherapy (IMRT) or dose painting promise to provide better dose distribution on the tumor. For effective application of these methods the exact positioning of the patient and the localization of the irradiated organ and surrounding structures is crucial. Especially with respect to the treatment of the prostate, ultrasound (US) allows for differentiation between soft tissue and was therefore applied by various repositioning systems, such as BAT or Clarity. The authors built a new system which uses 3D US at both sites, the CT room and the intervention room and applied a 3D/3D US/US registration for automatic repositioning.Methods: In a first step the authors applied image preprocessing methods to prepare the US images for an optimal registration process. For the 3D/3D registration procedure five different metrics were evaluated. To find the image metric which fits best for a particular patient three 3D US images were taken at the CT site and registered to each other. From these results an US registration error was calculated. The most successful image metric was then applied for the US/US registration process. The success of the whole repositioning method was assessed by taking the results of an ExacTrac system as golden standard.Results: The US/US registration error was found to be 2.99 +/- 1.54 mm with respect to the mutual information metric by Mattes (eleven patients) which revealed to be the most suitable of the assessed metrics. For complete repositioning chain the error amounted to 4.15 +/- 1.20 mm (ten patients).Conclusions: The authors developed a system for patient repositioning which works automatically without the necessity of user interaction with an accuracy which seems to be suitable for clinical application. (C) 2013 American Association of Physicists in Medicine. [http://dx.doi.org/10.1118/1.4795129]