Department of Medical and Biological Informatics, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
Int J Comput Assist Radiol Surg. 2013 Jul;8(4):663-75. doi: 10.1007/s11548-013-0828-4. Epub 2013 Mar 23.
Percutaneous nephrolithotomy (PCNL) plays an integral role in treatment of renal stones. Creating percutaneous renal access is the most important and challenging step in the procedure. To facilitate this step, we evaluated our novel mobile augmented reality (AR) system for its feasibility of use for PCNL.
A tablet computer, such as an iPad[Formula: see text], is positioned above the patient with its camera pointing toward the field of intervention. The images of the tablet camera are registered with the CT image by means of fiducial markers. Structures of interest can be superimposed semi-transparently on the video images. We present a systematic evaluation by means of a phantom study. An urological trainee and two experts conducted 53 punctures on kidney phantoms.
The trainee performed best with the proposed AR system in terms of puncturing time (mean: 99 s), whereas the experts performed best with fluoroscopy (mean: 59 s). iPad assistance lowered radiation exposure by a factor of 3 for the inexperienced physician and by a factor of 1.8 for the experts in comparison with fluoroscopy usage. We achieve a mean visualization accuracy of 2.5 mm.
The proposed tablet computer-based AR system has proven helpful in assisting percutaneous interventions such as PCNL and shows benefits compared to other state-of-the-art assistance systems. A drawback of the system in its current state is the lack of depth information. Despite that, the simple integration into the clinical workflow highlights the potential impact of this approach to such interventions.
经皮肾镜碎石术(PCNL)在肾结石治疗中起着重要作用。建立经皮肾通道是该手术中最重要和最具挑战性的步骤。为了促进这一步骤,我们评估了我们的新型移动增强现实(AR)系统在 PCNL 中的使用可行性。
将平板电脑(如 iPad[Formula: see text])置于患者上方,其摄像头指向干预区域。平板电脑摄像头的图像通过基准标记与 CT 图像进行配准。感兴趣的结构可以以半透明的方式叠加在视频图像上。我们通过一项体模研究进行了系统评估。一名泌尿科学员和两名专家在肾体模上进行了 53 次穿刺。
在穿刺时间方面(平均值:99 秒),学员使用提出的 AR 系统表现最佳,而专家使用透视表现最佳(平均值:59 秒)。与透视使用相比,iPad 辅助使经验不足的医生的辐射暴露降低了 3 倍,使专家的辐射暴露降低了 1.8 倍。我们实现了平均 2.5 毫米的可视化精度。
提出的基于平板电脑的 AR 系统已被证明有助于辅助 PCNL 等经皮介入,并与其他最先进的辅助系统相比具有优势。该系统在当前状态下的一个缺点是缺乏深度信息。尽管如此,它简单地集成到临床工作流程中突出了这种方法对这些干预措施的潜在影响。