Luebbers Heinz-Theo, Messmer Peter, Obwegeser Joachim Anton, Zwahlen Roger Arthur, Kikinis Ron, Graetz Klaus Wilhelm, Matthews Felix
Clinic for Cranio-Maxillofacial Surgery, University Hospital of Zurich, Frauenklinikstrasse 24, CH-8091 Zurich, Switzerland.
J Craniomaxillofac Surg. 2008 Mar;36(2):109-16. doi: 10.1016/j.jcms.2007.09.002. Epub 2008 Feb 14.
Surgical navigation requires registration of the pre-operative image dataset with the patient in the operation theatre. Various marker and marker-free registration techniques are available, each bearing an individual level of precision and clinical practicability. In this study the precision of four different registration methods in a maxillofacial surgical setting is analyzed.
A synthetic full size human skull model was registered with its computer tomography-dataset using (a) a dentally mounted occlusal splint, (b) the laser surface scanning, (c) five facial bone implants and (d) a combination of dental splint and two orbital bone implants. The target registration error was computed for 170 landmarks spread over the entire viscero- and neurocranium in 10 repeats using the VectorVision2 (BrainLAB AG, Heimstetten, Germany) navigation system. Statistical and graphical analyses were performed by anatomical region.
An average precision of 1mm was found for the periorbital region irrespective of registration method (range 0.6-1.1mm). Beyond the mid-face, precision linearly decreases with the distance from the reference markers. The combination of splint with two orbital bone markers significantly improved precision from 1.3 to 0.8mm (p<0.001) on the viscerocranium and 2.3-1.2mm (p<0.001) on the neurocranium.
An occlusal splint alone yields poor precision for navigation beyond the mid-face. The precision can be increased by combining an occlusal splint with just two bone implants inserted percutaneously on the lateral orbital rim of each side.
手术导航需要将术前图像数据集与手术台上的患者进行配准。有多种基于标记物和无标记物的配准技术,每种技术都有各自的精度水平和临床实用性。在本研究中,分析了四种不同配准方法在颌面外科手术中的精度。
使用(a)牙科安装的咬合板、(b)激光表面扫描、(c)五枚面骨植入物和(d)牙科夹板与两枚眶骨植入物的组合,将一个合成的全尺寸人类颅骨模型与其计算机断层扫描数据集进行配准。使用VectorVision2(德国海姆斯泰滕BrainLAB AG公司)导航系统,对分布在整个面颅和脑颅的170个标志点进行10次重复测量,计算目标配准误差。按解剖区域进行统计和图形分析。
无论采用何种配准方法,眶周区域的平均精度均为1mm(范围0.6 - 1.1mm)。在面中部以外,精度随与参考标记物距离的增加而线性降低。夹板与两枚眶骨标记物的组合显著提高了精度,在面颅上从1.3mm提高到0.8mm(p<0.001),在脑颅上从2.3mm提高到1.2mm(p<0.001)。
单独使用咬合板对面中部以外区域的导航精度较差。通过将咬合板与每侧眶外侧缘经皮插入的两枚骨植入物相结合,可以提高精度。