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Motion Capture Pillow shows potential to replace thermoplastic masks in HN radiotherapy

机译:Motion Capture Pillow在H&N放射治疗中显示出替代热塑性口罩的潜力

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摘要

Purpose udA key challenge to improve patient comfort is the common use of a thermoplastic mask for patients with head and neck cancers. Patients suffer from discomfort and the claustrophobic effect of the mask, or, as they lose soft tissue due to treatment and gain undesirable movement in the mask. A prototype system using a robotic Motion Capture Pillow (MCP) is investigated for proof-of-concept and is pictorially presented for the potential replacement of thermoplastic masks.ududMethodsudA radiographer nurtured a concept with robotics engineers and consulted with physicists regarding materials. A 3D head position tracking device – the MCP (Fig. 1) was designed and tested by robotics engineers in a limited user study. The pillow is a biologically-inspired sensing device based upon the deformation of the epidermal layers of the human skin. Deformation of MCP-head interaction is measured optically by tracking the movement of internal artificial papillae pins on the inside of the pillow skin(Fig.1). These papillae pins create an image with a matrix of dots captured by a single camera inside the pillow. The head position image on the pillow has been matched with an absolute head position captured by an optical infrared system (Polararis NDI) with a tracking tool attached to the person’s mouth. The aim of the study was to validate accuracy of the MCP by measuring its resolution (smallest detectable input) and repeatability (the maximum deviation of output for the same input) (Fig. 2). ududResults udFive basic movements of the head were detected 1. two translations across the MCP – laterally (Tx, x-axis) longitudinally (Ty, y axis) and one translation vertical to the pillow (Tz, z axis) and 2. two rotations of the head: roll (α) and pitch (β). A graphic user interface was created in Matlab to view and analyse the two sets of data – Polaris (Tx, Ty, Tz, α, β) and MCP data. A minimum detectable deformation of the MCP in translation is 1mm, and in rotation is 0.3° (α) and 0.6° (β). The repeatability test showed a maximum of one pixel output deviation for the same position. ududConclusionudThe prototype MCP has been patented and proof of concept has shown potential for consideration in clinical practice. The sensing resolution of the MCP can be improved by a larger number of dots per area or adaptations to the software algorithm. There is a small ambiguity between lateral translation and yaw rotations that can be resolved by an initial MCP calibration. The current challenge and future work is to develop a clinical system that will cause limited radiation attenuation, preserve some skin sparing, and is non-ferrous when considering Magnetic resonance Imaging. The preliminary prototype data calls for further investigations in the laboratory, including how to stabilise jaw movement and cranium, prior to being investigated in clinical practice.
机译:目的 ud提高患者舒适度的主要挑战是热塑性塑料面罩在头颈癌患者中的普遍使用。患者遭受不适和面罩幽闭恐惧症的影响,或者由于治疗而失去软组织并在面罩中获得不良运动。对使用机器人运动捕捉枕(MCP)的原型系统进行了概念验证研究,并以图形方式展示了热塑性掩模的潜在替代方法。 ud udMethods ud放射线照相师与机器人工程师一起培养了一个概念,并向物理学家咨询了有关材料。一种3D头部位置跟踪设备– MCP(图1)是由机器人工程师在有限的用户研究中设计和测试的。枕头是一种基于人体皮肤表皮层变形的受生物启发的传感设备。 MCP头相互作用的变形是通过跟踪枕头皮肤内部的内部人工乳头状钉运动来光学测量的(图1)。这些乳头状钉通过枕头内部的单个摄像头捕获的点阵矩阵创建图像。枕头上的头部位置图像已与光学红外系统(Polararis NDI)所捕获的绝对头部位置相匹配,该光学红外系统具有连接到人嘴上的跟踪工具。该研究的目的是通过测量MCP的分辨率(可检测的最小输入)和可重复性(同一输入的最大输出偏差)来验证MCP的准确性(图2)。 ud udResults ud检测到头部的五个基本运动1.横跨MCP的两个平移–横向(Tx,x轴),纵向(Ty,y轴),垂直于枕头的平移(Tz,z轴),以及2.头部旋转两次:横摇(α)和俯仰(β)。在Matlab中创建了一个图形用户界面来查看和分析两组数据– Polaris(Tx,Ty,Tz,α,β)和MCP数据。 MCP的平移最小可检测变形为1mm,旋转时最小为0.3°(α)和0.6°(β)。重复性测试显示相同位置的最大像素输出偏差为一个。 ud ud结论 udMCP原型已获得专利,概念证明已显示出可在临床实践中考虑的潜力。 MCP的感测分辨率可以通过每个面积上更多的点数或对软件算法的修改来提高。横向平移和偏航旋转之间存在很小的歧义,可以通过初始MCP校准解决。当前的挑战和未来的工作是开发一种临床系统,该系统将导致有限的辐射衰减,保留一些皮肤,并且在考虑磁共振成像时是非铁质的。初步的原型数据需要在实验室进行进一步的研究,包括在临床实践中进行研究之前,如何稳定颌骨运动和颅骨。

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