Projection Mapping for In-Situ Surgery Planning by the Example of DIEP Flap Breast Reconstruction

Jana Martschinke, V. Klein, Philipp Kurth, K. Engel, I. Ludolph, T. Hauck, R. Horch, M. Stamminger
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引用次数: 2

Abstract

Nowadays, many surgical procedures require preoperative planning, mostly relying on data from 3D imaging techniques like computed tomography or magnetic resonance imaging. However, preoperative assessment of this data is carried out on the PC (using classical CT/MR viewing software) and not on the patient’s body itself. Therefore, surgeons need to transfer both their overall understanding of the patient’s individual anatomy and also specific markers and labels for important points from the PC to the patient only with the help of imaginative power or approximative measurement. In order to close the gap between preoperative planning on the PC and surgery on the patient, we propose a system to directly project preoperative knowledge to the body surface by projection mapping. As a result, we are able to display both assigned labels and a volumetric and view-dependent view of the 3D data in-situ. Furthermore, we offer a method to interactively navigate through the data and add 3D markers directly in the projected volumetric view. We demonstrate the benefits of our approach using DIEP flap breast reconstruction as an example. By means of a small pilot study, we show that our method outperforms standard surgical planning in accuracy and can easily be understood and utilized even by persons without any medical knowledge. CCS Concepts • Applied computing → Health informatics; • Computing methodologies → Ray tracing; Mixed / augmented reality;
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以DIEP皮瓣乳房重建为例,投影测绘在原位手术规划中的应用
如今,许多外科手术都需要术前计划,主要依赖于计算机断层扫描或磁共振成像等3D成像技术的数据。然而,术前对这些数据的评估是在PC上进行的(使用经典的CT/MR查看软件),而不是在患者身上进行的。因此,外科医生需要在想象力或近似测量的帮助下,将他们对患者个体解剖结构的总体理解以及重要部位的特定标记和标签从PC转移到患者身上。为了缩小PC上的术前规划与患者手术之间的差距,我们提出了一种通过投影映射将术前知识直接投影到体表的系统。因此,我们能够同时显示分配的标签和三维数据的体积和视图依赖视图。此外,我们还提供了一种交互式导航数据的方法,并直接在投影体视图中添加3D标记。我们以DIEP皮瓣乳房重建为例,展示了我们的方法的好处。通过一个小的试点研究,我们表明,我们的方法优于标准的手术计划的准确性,可以很容易地理解和使用,即使是没有任何医学知识的人。•应用计算→健康信息学;•计算方法→光线追踪;混合/增强现实;
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