Maurer C R, Maciunas R J, Fitzpatrick J M
Division of Radiological Sciences and Medical Engineering, King's College London, UK.
IEEE Trans Med Imaging. 1998 Oct;17(5):753-61. doi: 10.1109/42.736031.
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. We recently reported a hybrid registration technique that uses a weighted combination of multiple geometrical feature shapes. In this study we 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). We use data acquired from 12 patients that underwent temporal lobe craniotomies for the resection of cerebral lesions. We 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 noncolinear 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.
此前报道的大多数三维图像配准技术,通过匹配诸如点或表面等几何特征来对齐三维图像体积,都只使用单一类型的特征。我们最近报道了一种混合配准技术,该技术使用多种几何特征形状的加权组合。在本研究中,我们使用加权几何特征(WGF)算法,仅利用皮肤表面、仅利用骨骼表面,以及这些表面与一个基准点(骨植入标记物的质心)的各种加权组合,将头部的计算机断层扫描(CT)图像配准到物理空间。我们使用了从12例因切除脑病变而接受颞叶开颅手术的患者身上获取的数据。我们以使用三个骨植入标记物获得的配准作为参考金标准,评估并比较使用这些不同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。基于点的配准至少需要三个不共线的点。骨植入标记物的位置比皮肤粘贴标记物或解剖标志的位置能更准确地确定。使用骨植入标记物的一个主要缺点是,植入每个标记物都需要进行侵入性操作。通过结合表面信息,WGF算法允许仅使用一两个这样的标记物来进行配准。一个重要发现是,使用单个非常精确的点(骨植入标记物),可以使用很少的表面点实现非常精确的基于表面的配准。最后,WGF算法不仅允许多种类型几何信息的组合,还能将基于点和基于表面的配准作为退化情况进行处理,它可以构成一个“灵活”的手术导航系统的基础,该系统允许外科医生使用其认为最适合个体临床情况的方法。