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Automatic patient alignment system using 3D ultrasound

机译:使用3D超声波的自动患者对准系统

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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.
机译:目的:放射治疗的最新发展,例如调强放射治疗(IMRT)或剂量涂装有望在肿瘤上提供更好的剂量分布。为了有效地应用这些方法,患者的准确定位以及受照射器官和周围结构的定位至关重要。特别是对于前列腺的治疗,超声(US)可以区分软组织,因此可以通过各种重新定位系统(例如BAT或Clarity)进行应用。作者建立了一个新系统,该系统在CT室和介入室两个站点均使用3D US,并应用了3D / 3D US / US配准进行自动重新定位。方法:第一步,作者应用图像预处理方法为最佳配准过程准备美国图像。对于3D / 3D注册过程,评估了五个不同的指标。为了找到最适合特定患者的图像度量标准,在CT位置拍摄了三张3D US图像,并将其相互注册。根据这些结果,计算出美国注册错误。然后将最成功的图像指标应用于美国/美国注册过程。以ExacTrac系统的结果为黄金标准,评估了整个重新定位方法的成功性。结果:根据Mattes(11位患者)的相互信息度量标准,US / US注册误差为2.99±1.54 mm,这显示是最适合评估的度量标准。对于完整的重新定位链,误差为4.15±1.20 mm(十位患者)。结论:作者开发了一种用于患者重新定位的系统,该系统可以自动工作,而无需用户交互,其准确性似乎适合临床应用。

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