首页> 外文期刊>Medical and Biological Engineering and Computing: Journal of the International Federation for Medical and Biological Engineering >Evaluation of methods for opto-electronic body surface sensing applied to patient position control in breast radiation therapy.
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Evaluation of methods for opto-electronic body surface sensing applied to patient position control in breast radiation therapy.

机译:评价用于乳房放射治疗中患者位置控制的光电体表面感应方法。

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摘要

The accuracy gap between the high levels of accuracy in radiotherapy planning and the uncertain set-up of each therapy fraction represents a crucial factor in the optimisation of radiation treatment. This occurs because the conventional means of patient alignment and immobilisation do not guarantee accurate implementation of the therapy plan in the actual irradiation treatment. A patient repositioning technique is proposed, based on opto-electronic motion capture and on methods of registration of body surfaces described by a limited dataset. The validation of the method was related to breast cancer radiotherapy and was based on simulated and experimental repositioning procedures involving a phantom and two subjects. With respect to previous work, the surface registration procedure was, in this case, implemented as a constrained non-linear least-square problem (constraints were given by the position of a couple of passive markers placed on the sternum), and three different algorithms were compared in terms of accuracy in misalignment detection and of computational cost. The simulation and experimental activities identified the best performing algorithm, which systematically limited the repositioning errors to below clinically acceptable thresholds (5 mm), with residual surface mismatches lower than 2 mm.
机译:放射治疗计划的高准确性与每个治疗分数的不确定设置之间的准确性差距,是优化放射治疗的关键因素。发生这种情况的原因是,常规的患者对齐和固定方法无法保证在实际的放射治疗中能够准确实施治疗计划。提出了一种基于光电运动捕获以及基于有限数据集描述的体表配准方法的患者重新定位技术。该方法的验证与乳腺癌放射疗法有关,并且基于涉及幻像和两名受试者的模拟和实验重新定位程序。关于先前的工作,在这种情况下,将表面配准程序实现为约束的非线性最小二乘问题(约束是通过放置在胸骨上的几个无源标记的位置给出的),以及三种不同的算法比较了未对准检测的准确性和计算成本。仿真和实验活动确定了性能最佳的算法,该算法系统地将重新定位误差限制在临床可接受的阈值(5毫米)以下,且残留表面失配低于2毫米。

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