Buser T J, Boyd O F, Cortés Á, Donatelli C M, Kolmann M A, Luparell J L, Pfeiffenberger J A, Sidlauskas B L, Summers A P
Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR, USA.
Department of Integrative Biology, Oregon State University, Corvallis, OR, USA.
Integr Org Biol. 2020 Apr 10;2(1):obaa009. doi: 10.1093/iob/obaa009. eCollection 2020.
The decreasing cost of acquiring computed tomographic (CT) data has fueled a global effort to digitize the anatomy of museum specimens. This effort has produced a wealth of open access digital three-dimensional (3D) models of anatomy available to anyone with access to the Internet. The potential applications of these data are broad, ranging from 3D printing for purely educational purposes to the development of highly advanced biomechanical models of anatomical structures. However, while virtually anyone can access these digital data, relatively few have the training to easily derive a desirable product (e.g., a 3D visualization of an anatomical structure) from them. Here, we present a workflow based on free, open source, cross-platform software for processing CT data. We provide step-by-step instructions that start with acquiring CT data from a new reconstruction or an open access repository, and progress through visualizing, measuring, landmarking, and constructing digital 3D models of anatomical structures. We also include instructions for digital dissection, data reduction, and exporting data for use in downstream applications such as 3D printing. Finally, we provide Supplementary Videos and workflows that demonstrate how the workflow facilitates five specific applications: measuring functional traits associated with feeding, digitally isolating anatomical structures, isolating regions of interest using semi-automated segmentation, collecting data with simple visual tools, and reducing file size and converting file type of a 3D model.
获取计算机断层扫描(CT)数据的成本不断降低,推动了全球范围内将博物馆标本解剖结构数字化的努力。这一努力已产生了大量可供任何能访问互联网的人使用的开放获取的数字三维(3D)解剖模型。这些数据的潜在应用广泛,从纯粹用于教育目的的3D打印到解剖结构的高度先进生物力学模型的开发。然而,虽然几乎任何人都能访问这些数字数据,但相对较少有人具备从这些数据中轻松得出理想产品(例如解剖结构的3D可视化)的相关培训。在此,我们展示一种基于免费、开源、跨平台软件处理CT数据的工作流程。我们提供了详细的分步说明,从从新的重建或开放获取的存储库中获取CT数据开始,逐步完成解剖结构的可视化、测量、标记和数字3D模型构建。我们还包括数字解剖、数据精简以及导出数据以供3D打印等下游应用使用的说明。最后,我们提供补充视频和工作流程,展示该工作流程如何促进五个特定应用:测量与进食相关的功能特征、数字分离解剖结构、使用半自动分割隔离感兴趣区域、使用简单视觉工具收集数据以及减小3D模型的文件大小并转换文件类型。