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首页> 外文期刊>Journal of Digital Imaging >DRR and Portal Image Registration for Automatic Patient Positioning in Radiotherapy Treatment
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DRR and Portal Image Registration for Automatic Patient Positioning in Radiotherapy Treatment

机译：DRR和门户图像注册在放射治疗中自动定位患者

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摘要

Image processing turns out to be essential in the planning and verification of radiotherapy treatments. Before applying a radiotherapy treatment, a dosimetry planning must be performed. Usually, the planning is done by means of an X-ray volumetric analysis using computerized tomography, where the area to be radiated is marked out. During the treatment phase, it is necessary to place the patient under the particle accelerator exactly as considered in the dosimetry stage. Coarse alignment is achieved using fiduciary markers placed over the patient’s skin as external references. Later, fine alignment is provided by comparing a digitally reconstructed radiography (DRR) from the planning stage and a portal image captured by the accelerator in the treatment stage. The preprocessing of DRR and portal images, as well as the minimization of the non-shared information between both kinds of images, is mandatory for the correct operation of the image registration algorithm. With this purpose, mathematical morphology and image processing techniques have been used. The present work describes a fully automatic method to calculate more accurately the necessary displacement of the couch to place the patient exactly at the planned position. The proposed method to achieve the correct positioning of the patient is based on advanced image registration techniques. Preliminary results show a perfect match with the displacement estimated by the physician.
机译：事实证明，图像处理对于放射治疗的计划和验证至关重要。在进行放射治疗之前，必须执行剂量测定计划。通常，通过使用计算机断层摄影术的X射线体积分析来完成计划，在其中标记出要辐射的区域。在治疗阶段，必须完全按照剂量测定阶段的考虑将患者置于粒子加速器之下。使用放置在患者皮肤上的基准标记作为外部参考，可以实现粗对准。随后，通过比较计划阶段的数字重建放射线照相（DRR）与治疗阶段加速器捕获的门静脉图像，可以提供精确对准。 DRR和门户图像的预处理，以及两种图像之间非共享信息的最小化，对于图像配准算法的正确操作都是必不可少的。为了这个目的，已经使用了数学形态学和图像处理技术。本工作描述了一种全自动方法，可以更准确地计算出将患者准确放置在计划位置时所需的沙发床位移。所提出的实现患者正确定位的方法是基于先进的图像配准技术。初步结果显示与医生估计的位移完全匹配。

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