METHODS: We conducted a literature review on 3D medical visualization technology from 2018 to 2023 using the PubMed and Google Scholar search engines. The cross-referenced manuscripts were extensively studied to find literature that discusses technology relevant to 3D medical visualization. We also compiled and ran software applications that were accessible to us in order to better understand them.
RESULTS: We present the underlying fundamental technology used in 3D medical visualization in the context of neurosurgical education, simulation, and planning. Further, we discuss and categorize a few important applications based on the 3D visualization techniques they use.
CONCLUSIONS: The visualization of virtual human organs has not yet achieved a level of realism close to reality. This gap is largely due to the interdisciplinary nature of this research, population diversity, and validation complexities. With the advancements in computational resources and automation of 3D visualization pipelines, next-gen applications may offer enhanced medical 3D visualization fidelity.
方法:我们使用PubMed和GoogleScholar搜索引擎在2018年至2023年对3D医学可视化技术进行了文献综述。对交叉引用的手稿进行了广泛的研究,以找到讨论与3D医学可视化相关的技术的文献。我们还编译并运行了我们可以访问的软件应用程序,以便更好地理解它们。
结果:我们介绍了在神经外科教育背景下3D医学可视化中使用的基础技术,模拟,和规划。Further,我们根据他们使用的3D可视化技术来讨论和分类一些重要的应用程序。
结论:虚拟人器官的可视化尚未达到接近现实的现实主义水平。这种差距主要是由于这项研究的跨学科性质,种群多样性,和验证复杂性。随着3D可视化管道的计算资源和自动化的进步,下一代应用程序可以提供增强的医学3D可视化保真度。