Evaluation of a system for high-accuracy 3D image-based registration of endoscopic video to C-arm cone-beam CT for image-guided skull base surgery.

Evaluation of a system for high-accuracy 3D image-based registration of endoscopic video to C-arm cone-beam CT for image-guided skull base surgery.
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DOI:
10.1109/tmi.2013.2243464
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发表时间:
2013-07
影响因子:
10.6
通讯作者:
Siewerdsen JH
Siewerdsen JH
中科院分区:
工程技术1区
文献类型:
--
作者:
Mirota DJ;Uneri A;Schafer S;Nithiananthan S;Reh DD;Ishii M;Gallia GL;Taylor RH;Hager GD;Siewerdsen JH

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内窥镜颅底手术的安全性可以通过术前计算机断层扫描(CT)或术中锥束CT(CBCT)的准确导航来提高。将实时内窥镜视频注册到CBCT的能力通过直接在视觉场景中呈现信息来解释术中解剖变化,从而提供了额外的优势。然而,跟踪器定位误差(~1-2 mm)限制了视频和断层图像配准的精度。本文首次实现了基于图像的视频-CBCT配准,对配准精度与系统参数的依赖关系进行了详细的量化,并证明了基于图像的配准方法在配准精度方面的改进。性能被评估为基于图像的方法固有的参数的函数,包括系统几何形状、CBCT图像质量和计算时间。整个系统的性能是在模拟经蝶颅底肿瘤切除的身体研究中评估的。结果表明,配准精度有了显著的提高(p<0.001),基于图像的方法的平均重投影距离误差为1.28 mm,而传统的基于跟踪器的方法为1.82 mm。基于图像的配准对噪声和分辨率的CBCT图像质量因素具有高度的健壮性,允许与术中低剂量的CBCT整合。
The safety of endoscopic skull base surgery can be enhanced by accurate navigation in preoperative computed tomography (CT) or, more recently, intraoperative cone-beam CT (CBCT). The ability to register real-time endoscopic video with CBCT offers an additional advantage by rendering information directly within the visual scene to account for intraoperative anatomical change. However, tracker localization error (~ 1–2 mm) limits the accuracy with which video and tomographic images can be registered. This paper reports the first implementation of image-based video-CBCT registration, conducts a detailed quantitation of the dependence of registration accuracy on system parameters, and demonstrates improvement in registration accuracy achieved by the image-based approach. Performance was evaluated as a function of parameters intrinsic to the image-based approach, including system geometry, CBCT image quality, and computational runtime. Overall system performance was evaluated in a cadaver study simulating transsphenoidal skull base tumor excision. Results demonstrated significant improvement (p < 0.001)in registration accuracy with a mean reprojection distance error of 1.28 mm for the image-based approach versus 1.82 mm for the conventional tracker-based method. Image-based registration was highly robust against CBCT image quality factors of noise and resolution, permitting integration with low-dose intraoperative CBCT.