UCL Centre for Medical Image Computing, University College London, London, UK.
Wellcome/EPSRC Centre for Interventional and Surgical Science, University College London, London, UK.
Int J Comput Assist Radiol Surg. 2018 Jun;13(6):875-883. doi: 10.1007/s11548-018-1762-2. Epub 2018 Apr 16.
Navigation of endoscopic ultrasound (EUS)-guided procedures of the upper gastrointestinal (GI) system can be technically challenging due to the small fields-of-view of ultrasound and optical devices, as well as the anatomical variability and limited number of orienting landmarks during navigation. Co-registration of an EUS device and a pre-procedure 3D image can enhance the ability to navigate. However, the fidelity of this contextual information depends on the accuracy of registration. The purpose of this study was to develop and test the feasibility of a simulation-based planning method for pre-selecting patient-specific EUS-visible anatomical landmark locations to maximise the accuracy and robustness of a feature-based multimodality registration method.
A registration approach was adopted in which landmarks are registered to anatomical structures segmented from the pre-procedure volume. The predicted target registration errors (TREs) of EUS-CT registration were estimated using simulated visible anatomical landmarks and a Monte Carlo simulation of landmark localisation error. The optimal planes were selected based on the 90th percentile of TREs, which provide a robust and more accurate EUS-CT registration initialisation. The method was evaluated by comparing the accuracy and robustness of registrations initialised using optimised planes versus non-optimised planes using manually segmented CT images and simulated ([Formula: see text]) or retrospective clinical ([Formula: see text]) EUS landmarks.
The results show a lower 90th percentile TRE when registration is initialised using the optimised planes compared with a non-optimised initialisation approach (p value [Formula: see text]).
The proposed simulation-based method to find optimised EUS planes and landmarks for EUS-guided procedures may have the potential to improve registration accuracy. Further work will investigate applying the technique in a clinical setting.
由于超声和光学设备的视场较小,以及导航过程中解剖结构的可变性和定位标志数量有限,对上消化道(GI)系统的内镜超声(EUS)引导程序进行导航可能具有技术挑战性。EUS 设备和术前 3D 图像的配准可以提高导航能力。然而,这种上下文信息的准确性取决于配准的准确性。本研究的目的是开发和测试一种基于模拟的规划方法,用于预先选择特定于患者的 EUS 可见解剖标志位置,以最大限度地提高基于特征的多模态配准方法的准确性和稳健性。
采用了一种注册方法,其中将标志物注册到从术前体积中分割出的解剖结构。使用模拟可见解剖标志和标志定位误差的蒙特卡罗模拟来估计 EUS-CT 注册的预测目标注册误差(TRE)。基于 TRE 的第 90 百分位数选择最佳平面,这提供了更准确和更稳健的 EUS-CT 注册初始化。通过比较使用优化平面和非优化平面初始化的注册的准确性和稳健性来评估该方法,这些平面是使用手动分割的 CT 图像和模拟的([公式:见文本])或回顾性临床([公式:见文本])EUS 标志物进行评估的。
结果表明,与非优化初始化方法相比,使用优化平面初始化的注册具有更低的第 90 百分位 TRE(p 值[公式:见文本])。
用于为 EUS 引导程序找到优化的 EUS 平面和标志物的基于模拟的方法可能有潜力提高注册的准确性。进一步的工作将研究在临床环境中应用该技术。