Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures.

Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures.
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DOI:
10.1007/s11548-018-1762-2
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发表时间:
2018-06
影响因子:
3
通讯作者:
Barratt DC
Barratt DC
中科院分区:
工程技术3区
文献类型:
--
作者:
Bonmati E;Hu Y;Gibson E;Uribarri L;Keane G;Gurusami K;Davidson B;Pereira SP;Clarkson MJ;Barratt DC

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由于超声和光学器械的小视场以及导航期间的解剖变异性和有限数量的定向标志,上消化道(GI)系统的内镜超声(EUS)引导手术的导航在技术上具有挑战性。EUS设备和术前3D图像的共配准可以增强导航能力。然而,该上下文信息的保真度取决于配准的准确性。本研究的目的是开发和测试基于模拟的计划方法的可行性,用于预先选择患者特定的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鲁棒性。采用了一种配准方法,其中将标志配准到从术前体积分割的解剖结构。EUS-CT配准的预测目标配准误差(TREs)估计使用模拟的可见解剖标志和Monte Carlo模拟的标志定位误差。基于第90百分位的TREs选择最佳平面,这提供了稳健且更准确的EUS-CT配准初始化。通过使用手动分割的CT图像和模拟()或回顾性临床()EUS标志,比较使用优化平面与非优化平面初始化配准的准确性和稳健性,对该方法进行了评价。结果显示,与非优化初始化方法相比,使用优化平面初始化配准时的第90百分位TRE较低(p值)。提出的基于模拟的方法,以找到优化的EUS平面和标志的EUS引导程序可能有潜力提高配准精度。进一步的工作将研究在临床环境中应用该技术。本文的在线版本(10.1007/s11548-018-1762-2)包含补充材料,可供授权用户使用。
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 () or retrospective clinical () 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 ). 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. The online version of this article (10.1007/s11548-018-1762-2) contains supplementary material, which is available to authorized users.
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