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A Method to Track Cortical Surface Deformations Using a Laser Range Scanner

机译:一种使用激光测距仪跟踪皮质表面变形的方法

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摘要

This paper reports a novel method to track brain shift using a laser-range scanner (LRS) and nonrigid registration techniques. The LRS used in this paper is capable of generating textured point-clouds describing the surface geometry/intensity pattern of the brain as presented during cranial surgery. Using serial LRS acquisitions of the brain’s surface and two-dimensional (2–D) nonrigid image registration, we developed a method to track surface motion during neurosurgical procedures. A series of experiments devised to evaluate the performance of the developed shift-tracking protocol are reported. In a controlled, quantitative phantom experiment, the results demonstrate that the surface shift-tracking protocol is capable of resolving shift to an accuracy of approximately 1.6 mm given initial shifts on the order of 15 mm. Furthermore, in a preliminary in vivo case using the tracked LRS and an independent optical measurement system, the automatic protocol was able to reconstruct 50% of the brain shift with an accuracy of 3.7 mm while the manual measurement was able to reconstruct 77% with an accuracy of 2.1 mm. The results suggest that a LRS is an effective tool for tracking brain surface shift during neurosurgery.
机译:本文报道了一种使用激光测距仪(LRS)和非刚性配准技术来跟踪脑转移的新方法。本文使用的LRS能够生成纹理化的点云,该点云描述了颅骨手术期间呈现的大脑表面几何形状/强度模式。通过使用连续的LRS采集大脑表面和二维(2D)非刚性图像配准,我们开发了一种在神经外科手术过程中跟踪表面运动的方法。报告了一系列旨在评估已开发的换档跟踪协议性能的实验。在一个受控的定量体模实验中,结果表明,在初始偏移为15 mm的情况下,表面偏移跟踪协议能够将偏移解析为大约1.6 mm的精度。此外,在使用跟踪的LRS和独立光学测量系统的体内初步情况下,自动协议能够以3.7 mm的精度重建50%的脑部移位,而手动测量能够以370 mm的精度重建77%的脑部移位。精度为2.1毫米。结果表明,LRS是跟踪神经外科手术过程中脑表面移位的有效工具。

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