The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation Chinese Academy of Sciences (CASIA) , Beijing , China.
Qingdao Academy of Intelligent Industries , Qingdao , China.
Comput Assist Surg (Abingdon). 2019 Oct;24(sup1):121-130. doi: 10.1080/24699322.2018.1560101. Epub 2019 Apr 23.
In general, the 3 D printed medical models are made based on virtual digital models obtained from machines such as the computed tomography scanner. However, due to the limited accuracy of CT scanning technology, which is usually 1 millimeter, there are differences between scanned results and the real structure. Besides, the collected data can hardly be printed directly because of some errors in the model. In this paper, we present a general and efficient procedure to process the digital skull data to make the printed structures meet the requirements of anatomy education, which combines the use of five 3 D manipulation tools and the procedure can be finished within 6 hours. Then the model is printed and compared with the cadaveric skull from frontal, left, right and anterior views respectively. The printed model can describe the correct structure and details of the skull clearly, which can be considered as a good alternative to the cadaveric skull. The manipulation procedure presented in this study is an easily available and cost-effective way to obtain a printed skull model from the original CT data, which has a considerable economic and social benefit for the medical education. The steps of the data processing can be performed easily. The cost for the 3 D printed model is also low. Outcomes of this study can be applied widely in processing skull data.
一般来说,3D 打印的医学模型是基于从 CT 扫描仪等机器获得的虚拟数字模型制作的。然而,由于 CT 扫描技术的精度有限,通常为 1 毫米,因此扫描结果与真实结构之间存在差异。此外,由于模型存在一些误差,采集的数据很难直接打印。在本文中,我们提出了一种通用且高效的处理数字颅骨数据的方法,以使打印结构满足解剖学教育的要求,该方法结合使用了五个 3D 操作工具,整个过程可在 6 小时内完成。然后分别从正面、左侧、右侧和前面打印模型并与尸体颅骨进行比较。打印模型可以清楚地描述颅骨的正确结构和细节,可以作为尸体颅骨的良好替代品。本研究中提出的操作流程是从原始 CT 数据获得打印颅骨模型的一种简便、经济有效的方法,对医学教育具有重要的经济和社会效益。数据处理的步骤易于执行。3D 打印模型的成本也很低。本研究的结果可以广泛应用于颅骨数据处理。