首页> 外文会议>Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE >New frameless patient positioning algorithm in conformal radiotherapy using 3D-data registration
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New frameless patient positioning algorithm in conformal radiotherapy using 3D-data registration

机译:使用3D数据配准的保形放射治疗中新的无框架患者定位算法

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This paper describes a patient positioning method in the field of conformal radiotherapy. The proposed algorithm is dedicated to the treatment of cancers located in the head. The use of stereotactic frames can be avoided by acquiring 3D-data related to the patient's face in the treatment room. The tumor localization in the coordinate system of the radiotherapy machine is computed by registering this 3D-face data with the 3D-head data obtained during a CT-scan performed usually before the treatment. The directed Hausdorff distance has been chosen as the measure of similarity between the two surfaces by considering the nature of the data (two sets of 3D-points of different resolutions and representing surfaces of different sizes). First experimental results have shown that, even if the proposed algorithm gives promising results, the computation time related to the proposed method is not suited to clinical treatment since about fourteen hours are required for the data registration. For a drastic reduction of the computation time, the points giving the most important surface curvature information are selected from the 3D-face data set acquired in the treatment room. This data reduction, obtained with the Fan-algorithm, leads to a typical registration time of fourteen minutes.
机译:本文介绍了保形放射治疗领域中的患者定位方法。所提出的算法专用于治疗位于头部的癌症。通过在治疗室中获取与患者面部有关的3D数据,可以避免使用立体定位框架。通过将该3D面部数据与通常在治疗之前执行的CT扫描过程中获得的3D头部数据进行配准,可以计算出放射治疗机坐标系中的肿瘤位置。考虑到数据的性质(两组具有不同分辨率并代表不同尺寸的表面的3D点),已选择定向Hausdorff距离作为两个表面之间的相似性度量。最初的实验结果表明,即使所提出的算法给出了令人满意的结果,与所提出的方法相关的计算时间也不适合临床治疗,因为数据注册大约需要14个小时。为了大大减少计算时间,从治疗室获取的3D面部数据集中选择给出最重要的表面曲率信息的点。使用Fan算法获得的数据减少量导致典型的注册时间为14分钟。

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