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Depth perception of stereo overlays in image-guided surgery

机译:图像引导手术中立体覆盖物的深度感知

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See-through augmented reality (AR) systems for image-guided surgery merge volume rendered MRFCT data directly with the surgeon's view of the patient during surgery. Research has so far focused on optimizing the technique of aligning and registering the computer-generated anatomical images with the patient's anatomy during surgery. We have previously developed a registration and calibration method that allows alignment of the virtual and real anatomy to ~1mm accuracy. Recently we have been investigating the accuracy with which observers can interpret the combined visual information presented with an optical see-through AR system. We found that depth perception of a virtual image presented in stereo below a physical surface was misperceived compared to viewing the target in the absence of a surface. Observers overestimated depth for a target 0-2cm below the surface and underestimated the depth for all other presentation depths. The perceptual error could be reduced, but not eliminated, when a virtual rendering of the physical surface was displayed simultaneously with the virtual image. The findings suggest that misperception is due either to accommodation conflict between the physical surface and the projected AR image, or the lack of correct occlusion between the virtual and real surfaces.
机译:用于图像引导手术的透视增强现实(AR)系统将体积渲染的MRFCT数据直接与手术过程中外科医生对患者的看法合并。迄今为止,研究集中在优化在手术过程中将计算机生成的解剖图像与患者的解剖结构对齐和对齐的技术。我们之前已经开发出一种套准和校准方法,可以将虚拟解剖结构和真实解剖结构对齐到1mm的精度。最近,我们一直在研究观察者可以解释由光学透明AR系统呈现的组合视觉信息的准确性。我们发现,与在没有表面的情况下查看目标相比,在物理表面下以立体声形式呈现的虚拟图像的深度感知被误解了。观察者高估了表面以下0-2cm的目标深度,而低估了所有其他表示深度的深度。当物理表面的虚拟渲染与虚拟图像同时显示时,可以减少但不能消除感知误差。这些发现表明,错误的感知是由于物理表面与投影的AR图像之间的调节冲突,或者是由于虚拟表面与真实表面之间缺乏正确的遮挡所致。

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