首页> 外文OA文献 >Augmented virtuality based on stereoscopic reconstruction in multimodal image-guided neurosurgery: methods and performance evaluation. : Augmented Virtuality Based on Stereoscopic Reconstruction in Multimodal Image-Guided Neurosurgery: Methods and Performance Evaluation
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Augmented virtuality based on stereoscopic reconstruction in multimodal image-guided neurosurgery: methods and performance evaluation. : Augmented Virtuality Based on Stereoscopic Reconstruction in Multimodal Image-Guided Neurosurgery: Methods and Performance Evaluation

机译:基于立体重构的多模式图像引导神经外科增强虚拟技术:方法和性能评估。 :基于立体重构的多模式图像引导神经外科增强虚拟技术:方法和性能评估

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摘要

Displaying anatomical and physiological information derived from preoperative medical images in the operating room is critical in image-guided neurosurgery. This paper presents a new approach referred to as augmented virtuality (AV) for displaying intraoperative views of the operative field over three-dimensional (3-D) multimodal preoperative images onto an external screen during surgery. A calibrated stereovision system was set up between the surgical microscope and the binocular tubes. Three-dimensional surface meshes of the operative field were then generated using stereopsis. These reconstructed 3-D surface meshes were directly displayed without any additional geometrical transform over preoperative images of the patient in the physical space. Performance evaluation was achieved using a physical skull phantom. Accuracy of the reconstruction method itself was shown to be within 1 mm (median: 0.76 mm +/- 0.27), whereas accuracy of the overall approach was shown to be within 3 mm (median: 2.29 mm +/- 0.59), including the image-to-physical space registration error. We report the results of six surgical cases where AV was used in conjunction with augmented reality. AV not only enabled vision beyond the cortical surface but also gave an overview of the surgical area. This approach facilitated understanding of the spatial relationship between the operative field and the preoperative multimodal 3-D images of the patient.
机译:在手术室中显示源自术前医学图像的解剖和生理信息对于图像引导的神经外科手术至关重要。本文提出了一种称为增强虚拟化(AV)的新方法,用于在手术过程中通过三维(3-D)多模态术前图像将手术区域的术中视图显示在外部屏幕上。在手术显微镜和双目镜筒之间建立了校准的立体视觉系统。然后使用立体视产生手术区域的三维表面网格。这些重建的3-D表面网格可以直接显示,而无需在物理空间中对患者的术前图像进行任何额外的几何变换。使用物理骷髅幻影可以实现性能评估。重建方法本身的精度显示在1毫米以内(中位数:0.76毫米+/- 0.27),而整个方法的精度显示在3毫米以内(中位数:2.29毫米+/- 0.59),包括图像到物理空间配准错误。我们报告了六例手术病例的结果,其中将AV与增强现实结合使用。 AV不仅可以使视线超出皮层表面,还可以概述手术区域。这种方法有助于了解患者的手术区域和术前多峰3-D图像之间的空间关系。

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