Deferm J T, Nijsink J, Baan F, Verhamme L, Meijer G, Maal T
Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, the Netherlands.
3D Laboratory, Department of Radiology ad Nuclear Medicine, Radboud University Nijmegen Medical Centre, Nijmegen, the Netherlands.
Int J Oral Maxillofac Surg. 2022 Feb;51(2):263-268. doi: 10.1016/j.ijom.2021.04.004. Epub 2021 Apr 29.
The aim of this study was to evaluate a novel soft tissue-based method to register an intraoral scan (IOS) with a cone beam computed tomography (CBCT) scan. IOS and CBCT data were obtained from eight dentate patients (mean age 21±2 years; three male, five female) and 14 fully edentulous patients (mean age 56±9 years; eight male, six female). An algorithm was developed to create a soft tissue model of the CBCT scan, which allowed a soft tissue-based registration to be performed with the IOS. First, validation was performed on dentate jaws with registration of the palatal mucosal surface and accuracy evaluation at the level of the teeth. Second, fully edentulous jaws were registered using both the palatal and alveolar crest mucosal surfaces. Distance maps were created to measure the method accuracy. The mean registration error was 0.49±0.26mm for the dentate jaws. Registration of the fully edentulous jaws had a mean error of 0.16±0.08mm at the palate and 0.16±0.05mm at the alveolar crest. In conclusion, the high accuracy of this registration method may allow the digital workflow to be optimized when no teeth are available to perform a regular registration procedure.
本研究的目的是评估一种基于软组织的新方法,用于将口腔内扫描(IOS)与锥形束计算机断层扫描(CBCT)进行配准。IOS和CBCT数据来自8名有牙患者(平均年龄21±2岁;3名男性,5名女性)和14名全口无牙患者(平均年龄56±9岁;8名男性,6名女性)。开发了一种算法来创建CBCT扫描的软组织模型,从而能够与IOS进行基于软组织的配准。首先,在有牙颌骨上进行验证,配准腭黏膜表面并在牙齿水平进行精度评估。其次,使用腭部和牙槽嵴黏膜表面对全口无牙颌骨进行配准。创建距离图以测量该方法的准确性。有牙颌骨的平均配准误差为0.49±0.26mm。全口无牙颌骨的配准在腭部的平均误差为0.16±0.08mm,在牙槽嵴处为0.16±0.05mm。总之,当没有牙齿可用于进行常规配准程序时,这种配准方法的高精度可能会优化数字工作流程。