...
首页> 外文期刊>IEEE Transactions on Medical Imaging >Registration of physical space to laparoscopic image space for use in minimally invasive hepatic surgery
【24h】

Registration of physical space to laparoscopic image space for use in minimally invasive hepatic surgery

机译:将物理空间配准至腹腔镜图像空间以用于微创肝手术

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

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), the authors hope to overcome localization difficulties present in laparoscopic liver procedures. One key component of any IIGS 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 (TRE) was 0.70/spl plusmn/0.20 mm. The authors also studied the effects of distortion correction on registration accuracy For the particular distortion correction method and laparoscope used in the authors' 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/spl plusmn/153 mm for all trials; when the filters were applied, average TRE decreased to 1.64/spl plusmn/1.10 mm for the remaining trials.
机译:尽管腹腔镜用于许多微创(MI)手术,但很少进行MI肝切除和消融手术。病例少是由于腹腔镜对视场的限制以及在视频指导下确定肿瘤位置和边界的困难。通过将MI手术与交互式图像引导手术(IIGS)合并,作者希望克服腹腔镜肝脏手术中存在的定位困难。任何IIGS系统的一个关键组成部分就是开发精确的配准技术,以将图像空间映射到物理空间或患者空间。该手稿着重介绍了直接线性变换(DLT)方法的准确性和分析方法,该方法可以在扭曲和畸变校正的视频图像上通过腹腔镜图像空间记录物理空间。在贴有20个标记的肝脏大小的塑料幻像上进行了实验,这些幻像在不同的深度进行了定位。在物理和腹腔镜图像空间中定位了这些点之后,评估了控制点(n)的不同组合和数量的配准精度,以确定所需的数量开发强大的注册矩阵。对于n = 11,平均目标配准误差(TRE)为0.70 / spl plusmn / 0.20 mm。作者还研究了畸变校正对配准精度的影响对于作者实验中使用的特定畸变校正方法和腹腔镜,对于畸变和校正后的图像,物理到图像配准误差之间没有统计学意义。在获取最少数量的控制点(n = 6)的情况下,DLT通常不稳定,数学过程可能导致较高的TRE值。通过对DLT的分析开发出的数学过滤器可以预期地消除TRE高的异常情况。对于n = 6,所有试验的预过滤器平均TRE为17.4 / spl plusmn / 153 mm;当使用过滤器时,其余试验的平均TRE降至1.64 / spl plusmn / 1.10 mm。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号