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用于图像引导颅底手术的基于3D图像的内镜视频与C形臂锥形束CT的高精度配准

High-Accuracy 3D Image-Based Registration of Endoscopic Video to C-Arm Cone-Beam CT for Image-Guided Skull Base Surgery.

作者信息

Mirota Daniel J, Uneri Ali, Schafer Sebastian, Nithiananthan Sajendra, Reh Douglas D, Gallia Gary L, Taylor Russell H, Hager Gregory D, Siewerdsen Jeffrey H

机构信息

Department of Computer Science, Johns Hopkins University, Baltimore MD.

Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD.

出版信息

Proc SPIE Int Soc Opt Eng. 2011 Feb;7964. doi: 10.1117/12.877803. Epub 2011 Mar 1.

Abstract

Registration of endoscopic video to preoperative CT facilitates high-precision surgery of the head, neck, and skull-base. Conventional video-CT registration is limited by the accuracy of the tracker and does not use the underlying video or CT image data. A new image-based video registration method has been developed to overcome the limitations of conventional tracker-based registration. This method adds to a navigation system based on intraoperative C-arm cone-beam CT (CBCT) that reflects anatomical change, in turn providing high-accuracy registration of video to the surgical scene. The resulting registration enables visualization of the CBCT and planning data within the endoscopic video. The system incorporates a mobile C-arm for high-performance CBCT, integrated with an optical tracking system, video endoscopy, deformable registration of preoperative CT with intraoperative CBCT, and 3D visualization. As in the tracker-based approach, in the image-based video-CBCT registration the endoscope is localized using an optical tracking system that provides a quick initialization followed by a direct 3D image-based registration of the video to the CBCT. In this way, the system achieves video-CBCT registration that is both fast and accurate. Application in skull-base surgery demonstrates overlay of critical structures (e.g., carotid arteries and optic nerves) and surgical target volumes with sub-mm accuracy. Phantom and cadaver experiments show consistent improvement in target registration error (TRE) in video overlay over conventional tracker-based registration - e.g., 0.92 mm versus 1.82 mm for image-based and tracker-based registration, respectively. The proposed method represents a two-fold advance-first, through registration of video to up-to-date intraoperative CBCT (overcoming limitations associated with navigation with respect to preoperative CT), and second, through direct 3D image-based video-CBCT registration, which together provide more confident visualization of target and normal tissues within up-to-date images and improved targeting precision.

摘要

将内镜视频与术前CT进行配准有助于对头、颈和颅底进行高精度手术。传统的视频-CT配准受追踪器精度的限制,且未利用基础视频或CT图像数据。一种新的基于图像的视频配准方法已被开发出来,以克服传统基于追踪器配准的局限性。该方法被添加到一个基于术中C臂锥束CT(CBCT)的导航系统中,该系统能反映解剖结构变化,进而实现视频与手术场景的高精度配准。由此产生的配准能够在内镜视频中可视化CBCT和规划数据。该系统集成了一个用于高性能CBCT的移动C臂,与光学追踪系统、视频内窥镜、术前CT与术中CBCT的可变形配准以及三维可视化技术相结合。与基于追踪器的方法一样,在基于图像的视频-CBCT配准中,使用光学追踪系统对内镜进行定位,该系统提供快速初始化,随后将视频直接基于三维图像配准到CBCT上。通过这种方式,该系统实现了快速且准确的视频-CBCT配准。在颅底手术中的应用表明,关键结构(如颈动脉和视神经)和手术目标体积的叠加精度可达亚毫米级。体模和尸体实验表明,与传统基于追踪器的配准相比,视频叠加中的目标配准误差(TRE)持续改善——例如,基于图像和基于追踪器的配准的TRE分别为0.92毫米和1.82毫米。所提出的方法代表了两方面的进步——首先,通过将视频配准到最新的术中CBCT(克服与术前CT导航相关的局限性),其次,通过直接基于三维图像的视频-CBCT配准,这两者共同在最新图像中提供了对目标和正常组织更可靠的可视化,并提高了靶向精度。

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本文引用的文献

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