Fraunhofer MEVIS, Insitute for Medical Image Computing, Bremen, Germany.
Int J Comput Assist Radiol Surg. 2010 Mar;5(2):133-41. doi: 10.1007/s11548-009-0365-3. Epub 2009 Jun 19.
PURPOSE: Augmented reality (AR) obtains increasing acceptance in the operating room. However, a meaningful augmentation of the surgical view with a 3D visualization of planning data which allows reliable comparisons of distances and spatial relations is still an open request. METHODS: We introduce methods for intraoperative visualization of 3D planning models which extend illustrative rendering and AR techniques. We aim to reduce visual complexity of 3D planning models and accentuate spatial relations between relevant objects. The main contribution of our work is an advanced silhouette algorithm for 3D planning models (distance-encoding silhouettes) combined with procedural textures (distance-encoding surfaces). In addition, we present a method for illustrative visualization of resection surfaces. RESULTS: The developed algorithms have been embedded into a clinical prototype that has been evaluated in the operating room. To verify the expressiveness of our illustration methods, we performed a user study under controlled conditions. The study revealed a clear advantage in distance assessment with the proposed illustrative approach in comparison to classical rendering techniques. CONCLUSION: The presented illustration methods are beneficial for distance assessment in surgical AR. To increase the safety of interventions with the proposed approach, the reduction of inaccuracies in tracking and registration is a subject of our current research.
目的:增强现实(AR)在手术室中越来越受欢迎。然而,通过 3D 可视化规划数据来对手术视野进行有意义的增强,从而实现可靠的距离和空间关系比较,仍然是一个未解决的问题。
方法:我们引入了用于术中可视化 3D 规划模型的方法,这些方法扩展了直观渲染和 AR 技术。我们旨在降低 3D 规划模型的视觉复杂性,并突出相关对象之间的空间关系。我们工作的主要贡献是一种用于 3D 规划模型的高级轮廓算法(距离编码轮廓),结合了程序性纹理(距离编码表面)。此外,我们还提出了一种用于切除表面直观可视化的方法。
结果:所开发的算法已嵌入到临床原型中,并在手术室中进行了评估。为了验证我们的直观化方法的表达能力,我们在受控条件下进行了用户研究。研究表明,与传统的渲染技术相比,提出的直观方法在距离评估方面具有明显的优势。
结论:所提出的直观化方法有利于手术 AR 中的距离评估。为了提高该方法在干预中的安全性,我们正在研究减少跟踪和注册中的误差。
Int J Comput Assist Radiol Surg. 2009-6-19
Hepatobiliary Surg Nutr. 2014-4
Comput Med Imaging Graph. 2015-3
Hepatobiliary Pancreat Dis Int. 2018-2-19
Updates Surg. 2018-9
Int J Comput Assist Radiol Surg. 2021-11
Neurosurg Focus. 2021-8
IEEE Trans Inf Technol Biomed. 2007-1
IEEE Trans Biomed Eng. 2023-4
Int J Comput Assist Radiol Surg. 2012-9-30
Rev Assoc Med Bras (1992). 2025-7-7
Urolithiasis. 2025-4-9
Light Sci Appl. 2018-5-18
World J Gastrointest Surg. 2019-1-27
Med Biol Eng Comput. 2018-12-4
Ann Surg Treat Res. 2018-12
Int J Comput Assist Radiol Surg. 2018-7-24
Langenbecks Arch Surg. 2009-5
IEEE Trans Med Imaging. 2008-3
Int J Radiat Oncol Biol Phys. 2008-3-1
Med Image Comput Comput Assist Interv. 2007
J Gastrointest Surg. 2007-7
IEEE Trans Vis Comput Graph. 2006
JAMA. 2004-11-10