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首页> 外文会议>Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIII >Analysis of feature stability for laser-based determination of tissue thickness
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Analysis of feature stability for laser-based determination of tissue thickness

机译：基于激光确定组织厚度的特征稳定性分析

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摘要

Localisation of the cranium is necessary for accurate stereotactic radiotherapy of malign lesions in the brain. This is achieved by immobilizing the patient's head (typically by using thermoplastic masks, bite blocks or combinations thereof) and X-ray imaging to determine the actual position of the patient with respect to the treatment device. In previous work we have developed a novel method for marker-less and non-invasive tracking of the skull using a combination of laser-based surface triangulation and the analysis of backscattered feature patterns of a tightly collimated NIR laser beam scanned over the patient's forehead. An HDR camera is coupled into the beam path of the laser scanning system to acquire one image per projected laser point. We have demonstrated that this setup is capable of accurately determining the tissue thickness for each triangulation point and consequently allows detecting the surface of the cranial bone with sub-millimetre accuracy. Typical clinical settings (treatment times of 15-90 min) require feature stability over time, since the determination of tissue thickness is achieved by machine learning methods trained on initial feature scans. We have collected initial scans of the forehead as well as long-term backscatter data (20 images per seconds over 30 min) from five subjects and extracted the relevant tissue features from the image streams. Based on the knowledge of the relationship between the tissue feature values and the tissue thickness, the analysis of the long-term data showed that the noise level is low enough to allow robust discrimination of tissue thicknesses of 0.5 mm.
机译：颅骨的定位对于脑部恶性病变的精确立体定向放射治疗是必要的。这是通过固定患者的头部（通常通过使用热塑口罩，咬合块或其组合）和X射线成像确定患者相对于治疗设备的实际位置来实现的。在先前的工作中，我们结合了基于激光的表面三角测量和分析在患者前额上扫描的紧密准直的NIR激光束的反向散射特征图案，开发出了一种新颖的方法，用于无标记和无创地跟踪颅骨。 HDR摄像机耦合到激光扫描系统的光路中，以获取每个投影激光点的一幅图像。我们已经证明，这种设置能够准确地确定每个三角测量点的组织厚度，因此可以以亚毫米级的精度检测颅骨的表面。典型的临床设置（治疗时间为15-90分钟）需要随着时间的推移而具有特征稳定性，因为组织厚度的确定是通过在初始特征扫描中训练的机器学习方法来实现的。我们收集了五个对象的前额初始扫描以及长期反向散射数据（30分钟内每秒20张图像），并从图像流中提取了相关的组织特征。基于对组织特征值与组织厚度之间关系的了解，对长期数据的分析表明，噪声水平足够低，可以可靠地区分0.5 mm的组织厚度。

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  • 会议地点 San Francisco CA(US)
  • 作者

    Floris Ernst; Achim Schweikard; Patrick Stueber; Ralf Bruder; Benjamin Wagner; Tobias Wissel;

  • 作者单位

    Institute for Robotics and Cognitive Systems, University of Luebeck, Ratzeburger Allee 160, 23562 Luebeck, Germany;

    Institute for Robotics and Cognitive Systems, University of Luebeck, Ratzeburger Allee 160, 23562 Luebeck, Germany;

    Institute for Robotics and Cognitive Systems, University of Luebeck, Ratzeburger Allee 160, 23562 Luebeck, Germany,Graduate School for Computing in Medicine and Life Sciences, University of Luebeck, Ratzeburger Allee 160, 23562 Luebeck, Germany;

    Institute for Robotics and Cognitive Systems, University of Luebeck, Ratzeburger Allee 160, 23562 Luebeck, Germany;

    Institute for Robotics and Cognitive Systems, University of Luebeck, Ratzeburger Allee 160, 23562 Luebeck, Germany,Graduate School for Computing in Medicine and Life Sciences, University of Luebeck, Ratzeburger Allee 160, 23562 Luebeck, Germany;

    Institute for Robotics and Cognitive Systems, University of Luebeck, Ratzeburger Allee 160, 23562 Luebeck, Germany,Graduate School for Computing in Medicine and Life Sciences, University of Luebeck, Ratzeburger Allee 160, 23562 Luebeck, Germany;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    infrared tracking; skin thickness measurement; non-invasive optical tracking; infrared tissue thickness measurement; stereotactic fixation; cranial radiation therapy;

    机译：红外跟踪皮肤厚度测量；无创光学跟踪；红外组织厚度测量；立体定位颅放射疗法;

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