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Registration of Physical Space to Laparoscopic Image Space for Use in Minimally Invasive Hepatic Surgery

机译:用于腹腔镜图像空间的物理空间注册,用于微创肝脏手术

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While laparoscopes are used for numerous minimally invasive (MI) procedures, MI liver resection and ablative surgery is infrequently performed. The paucity of cases is due to the restriction of the field of view by the laparoscope and the difficulty in determining tumor location and margins under video guidance. By merging MI surgery with interactive, image-guided surgery (IIGS), we hope to overcome localization difficulties present in laparoscopic liver procedures. One key component of any JIGS system is the development of accurate registration techniques to map image space to physical or patient space. This manuscript focuses on the accuracy and analysis of the direct linear transformation (DLT) method to register physical space with laparoscopic image space on both distorted and distortion-corrected video images. Experiments were conducted on a liver-sized plastic phantom affixed with 20 markers at various depths. After localizing the points in both physical and laparoscopic image space, registration accuracy was assessed for different combinations and numbers of control points (n) to determine the quantity necessary to develop a robust registration matrix. For n =11, average target registration error (THE) was 0.70 ± 0.20 mm. We also studied the effects of distortion correction on registration accuracy. For the particular distortion correction method and laparoscope used in our experiments, there was no statistical significance between physical to image registration error for distorted and corrected images. In cases where a minimum number of control points (n = 6) are acquired, the DLT is often not stable and the mathematical process can lead to high TRE values. Mathematical filters developed through the analysis of the DLT were used to prospectively eliminate outlier cases where the TRE was high. For n = 6, prefilter average TRE was 17.4 ± 153 mm for all trials; when the filters were applied, average TRE decreased to 1.64 ± 1.10 mm for the remaining trials.
机译:虽然腹腔镜用于许多微创(MI)程序,但不经常进行Mi肝切除和烧蚀手术。病例的缺乏是由于腹腔镜视野的限制以及在视频指导下确定肿瘤位置和边缘的困难。通过用互动,图像引导的手术(IIG)合并MI手术,我们希望克服腹腔镜肝脏程序中存在的本地化困难。任何夹具系统的一个关键组件是开发准确的登记技术,以将图像空间映射到物理或患者空间。该手稿专注于直接线性变换(DLT)方法的准确性和分析,以在扭曲和失真校正的视频图像上使用腹腔镜图像空间注册物理空间。在肝脏大小的塑料模镜上进行实验,其在各种深度上用20个标记物固定。在本地化物理和腹腔镜图像空间中的点,评估配准精度以针对不同组合和控制点(n)的数量来确定开发鲁棒登记矩阵所需的数量。对于n = 11,平均目标登记误差()为0.70±0.20 mm。我们还研究了失真校正对登记精度的影响。对于我们实验中使用的特定失真校正方法和腹腔镜,物理到图像登记误差之间没有统计显着性,用于扭曲和校正的图像。在获取最小数量的控制点(n = 6)的情况下,DLT通常不稳定,数学过程可能导致高TRE值。通过分析DLT开发的数学滤波器用于预期消除TRE高的异常情况。对于N = 6,所有试验的预滤器平均tre为17.4±153毫米;当施加过滤器时,剩余试验的平均TRE降低至1.64±1.10mm。

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