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首页> 外文期刊>IEEE Transactions on Medical Imaging >Registration of head CT images to physical space using a weighted combination of points and surfaces [image-guided surgery]
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Registration of head CT images to physical space using a weighted combination of points and surfaces [image-guided surgery]

机译:使用点和表面的加权组合将头部CT图像配准到物理空间中[图像引导手术]

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摘要

Most previously reported registration techniques that align three-dimensional image volumes by matching geometrical features such as points or surfaces use a single type of feature. The authors recently reported a hybrid registration technique that uses a weighted combination of multiple geometrical feature shapes. In this study they use the weighted geometrical feature (WGF) algorithm to register computed tomography (CT) images of the head to physical space using the skin surface only, the bone surface only, and various weighted combinations of these surfaces and one fiducial point (centroid of a bone-implanted marker). The authors use data acquired from 12 patients that underwent temporal lobe craniotomies for the resection of cerebral lesions. The authors evaluate and compare the accuracy of the registrations obtained using these various approaches by using as a reference gold standard the registration obtained using three bone-implanted markers. The results demonstrate that a combination of geometrical features can improve the accuracy of CT-to-physical space registration. Point-based registration requires a minimum of three noncollinear points. The position of a bone-implanted marker can be determined much more accurately than that of a skin-affixed marker or an anatomic landmark. A major disadvantage of using bone-implanted markers is that an invasive procedure is required to implant each marker. By combining surface information, the WGF algorithm allows registration to be performed using only one or two such markers. One important finding is that the use of a single, very accurate point (a bone-implanted marker) allows very accurate surface-based registration to be achieved using very few surface points. Finally, the WGF algorithm, which not only allows the combination of multiple types of geometrical information but also handles point-based and surface-based registration as degenerate cases, could form the foundation of a "flexible" surgical navigation system that allows the surgeon to use what he considers the method most appropriate for an individual clinical situation.
机译:通过匹配点或曲面等几何特征来对齐三维图像体积的大多数以前报道的配准技术都使用一种类型的特征。作者最近报告了一种混合配准技术,该技术使用多个几何特征形状的加权组合。在这项研究中,他们使用加权几何特征(WGF)算法仅使用皮肤表面,仅使用骨表面以及这些表面和一个基准点的各种加权组合来将头部的计算机断层扫描(CT)图像记录到物理空间中(骨标记的质心)。作者使用从12例行颞叶开颅手术的患者中获得的数据来切除脑部病变。作者通过将使用三种骨植入标记获得的配准作为参考金标准,评估并比较了使用这些各种方法获得的配准的准确性。结果表明,几何特征的组合可以提高CT到物理空间配准的准确性。基于点的注册至少需要三个非共线点。与皮肤固定标记或解剖标志相比,可以更加精确地确定骨植入标记的位置。使用骨植入标记物的主要缺点是需要侵入性程序才能植入每种标记物。通过组合表面信息,WGF算法允许仅使用一个或两个这样的标记执行注册。一个重要的发现是,使用单个非常精确的点(植入骨的标记)可以使用很少的表面点来实现非常精确的基于表面的配准。最后,WGF算法不仅可以组合多种类型的几何信息,还可以处理退化情况下的基于点和基于表面的配准,它可以构成“灵活的”外科手术导航系统的基础,从而使外科医生能够使用他认为最适合个别临床情况的方法。

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