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Cortical Shift Tracking Using a Laser Range Scanner and Deformable Registration Methods

机译:使用激光测距仪和可变形配准方法进行皮层移位跟踪

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摘要

A novel brain shift tracking protocol is introduced in this paper which utilizes laser range scan (LRS) data and 2D deformable image registration. This protocol builds on previous efforts to incorporate intra-operative LRS data into a model-updated image guided surgery paradigm for brain shift compensation. The shift tracking method employs the use of a LRS system capable of capturing textures of the intra-operative scene during range data acquisition. Textures from serial range images are then registered using a 2D deformable registration approach that uses local support radial basis functions and mutual information. Given the deformation field provided by the registration, 3D points in serial LRS datasets can then be tracked. Results from this paper indicate that the error associated with tracking brain movement is 1.1mm on average given brain shifts of approximately 20.5mm. Equally important, a strategy is presented to rapidly acquire intra-operative measurements of shift which are compatible with model-based strategies for brain deformation compensation.
机译:本文介绍了一种新颖的脑位移跟踪协议,该协议利用激光距离扫描(LRS)数据和2D可变形图像配准。该协议建立在先前的努力基础上,即将手术中的LRS数据合并到模型更新的图像引导手术范例中以进行脑移位补偿。移位跟踪方法采用了LRS系统,该系统能够在距离数据获取期间捕获术中场景的纹理。然后使用2D可变形配准方法配准来自序列范围图像的纹理,该方法使用局部支持径向基函数和互信息。给定配准提供的变形场,然后可以跟踪串行LRS数据集中的3D点。这篇论文的结果表明,在大约20.5mm的大脑移位的情况下,与跟踪大脑运动有关的误差平均为1.1mm。同样重要的是,提出了一种策略以快速获取术中移位的测量值,该测量值与基于模型的脑变形补偿策略兼容。

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