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Real time contact-free and non-invasive tracking of the human skull: first light and initial validation

机译:实时无联系和非侵入性跟踪人类头骨:首先光和初始验证

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In an increasing number of fields in medicine, precise and fast localisation of bony targets inside the body is essential. Up to now, exact localisation in the operation room can either be done with invasive methods like X-ray imaging and electromagnetic tracking systems, with volumetric ultrasound or by fixing the target in place. In this work, we present a new technology to directly track the position of the human skull through tissue in real time using infrared lasers. To achieve this, an experimental setup has been developed to precisely target a position on a subject's skin with an 850 nm laser. The primary reflection on the skin is triangulated using a high-speed camera. Additionally, the reflections as well as in-tissue scattering are recorded with an in-beam setup of a NIR sensitive high-speed and high-resolution camera. Consequently, it is possible to record the scattering patterns specific to the composition of the tissue at the target. We have recorded MRI data of two test subjects (voxel size 0.15 × 0.15 × 1 mm~3) and extracted the soft tissue thickness with a semi-automatic segmentation approach. The MRI data was validated using force-controlled 2D ultrasound (tracked by an optical tracking system), from which soft tissue thickness was segmented manually. Optical measurements and MRI data were registered to determine soft tissue thickness for each measured laser target and finally used to train a support vector regression machine. Using the optical setup, we succeeded in computing the soft tissue thickness on the subjects' foreheads with sub-millimetre accuracy.
机译:在越来越多的医学领域,身体内部骨骼靶标的精确和快速定位是必不可少的。到目前为止,操作室中的精确定位可以通过X射线成像和电磁跟踪系统等侵入性方法来完成,其中体积超声或通过将目标固定到位。在这项工作中,我们展示了一种新技术,可以使用红外激光器直接跟踪人类颅骨通过组织的位置。为此,已经开发了一种实验设置,以精确地瞄准受试者皮肤上的位置,其中850nm激光。皮肤上的主要反射是使用高速相机三角形的。另外,用NIR敏感的高速和高分辨率相机的束束设置记录反射和组织散射。因此,可以将特异于组织的组合物的散射模式记录在靶标的散射图案。我们已经录制了两个测试对象的MRI数据(体素尺寸0.15×0.15×1mm〜3),并用半自动分割方法提取软组织厚度。使用力控制的2D超声(由光学跟踪系统跟踪)验证MRI数据,手动分割软组织厚度。登记光学测量和MRI数据以确定每个测量的激光靶的软组织厚度,最终用于训练支持向量回归机器。使用光学设置,我们成功地计算了具有亚毫米精度的受试者前额的软组织厚度。

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