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EVALUATION OF TARGETING FRAMES FOR DEEP-BRAIN STIMULATION USING VIRTUAL TARGETS

机译：使用虚拟目标评估深脑刺激的目标框架

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Surgery for deep-brain simulation (DBS) requires implanting of stimulators at target positions with submillimetric accuracy, typically via stereotactic frames. A recent innovation replaces the large, universal frame with a miniature frame customized per patient. We present a method for evaluating the accuracy of these new frames using "virtual targets" to avoid collision of implant with target. We implement virtual targets by mounting fiducial markers on an artificial skull and defining the targets relative to that fiducial system. The fiducial system is designed such that it surrounds the targets, thereby reducing the overall effect of fiducial localization inaccuracies. It also provides the transformation from image to physical space. Target selection is based on an atlas of stimulation targets from a set of 31 DBS patients. The measured error is the displacement between phantom implant and virtual target. The new frame was found to have submillimetric accuracy with 0.45 mm RMS error
机译：用于深脑模拟（DBS）的手术通常需要通过立体定向框架将刺激器以亚毫微米的精度植入目标位置。最新的创新技术是为每个患者定制的微型框架取代了通用的大型框架。我们提出了一种使用“虚拟靶标”评估这些新镜架的准确性的方法，以避免植入物与靶标的碰撞。我们通过在虚拟头骨上安装基准标记并相对于基准系统定义目标来实现虚拟目标。基准系统的设计使其围绕目标，从而降低了基准定位不准确的总体影响。它还提供了从图像到物理空间的转换。目标选择是基于来自一组31名DBS患者的刺激目标图集。测得的误差是幻影植入物与虚拟目标之间的位移。发现新框架的精度为亚毫米级，RMS误差为0.45 mm

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