Department of Biomedical Engineering, McGill University, McConnell Brain Imaging Center, Montreal Neurological Institute, Montréal, Canada.
Comput Med Imaging Graph. 2013 Mar;37(2):98-112. doi: 10.1016/j.compmedimag.2013.01.009. Epub 2013 Mar 13.
This paper presents a review of the state of the art of visualization in mixed reality image guided surgery (IGS). We used the DVV (data, visualization processing, view) taxonomy to classify a large unbiased selection of publications in the field. The goal of this work was not only to give an overview of current visualization methods and techniques in IGS but more importantly to analyze the current trends and solutions used in the domain. In surveying the current landscape of mixed reality IGS systems, we identified a strong need to assess which of the many possible data sets should be visualized at particular surgical steps, to focus on novel visualization processing techniques and interface solutions, and to evaluate new systems.
本文对混合现实图像引导手术 (IGS) 中的可视化技术现状进行了综述。我们使用了 DVV（数据、可视化处理、视图）分类法对该领域的大量无偏出版物进行了分类。这项工作的目的不仅是对 IGS 中当前的可视化方法和技术进行概述，更重要的是分析该领域中当前的趋势和使用的解决方案。在调查混合现实 IGS 系统的当前现状时，我们发现强烈需要评估在特定手术步骤中应该可视化哪些数据集，以关注新颖的可视化处理技术和界面解决方案，并评估新系统。
