Improving depth perception during surgical augmented reality

Bruno Marques, Nazim Haouchine, Rosalie Plantefève, S. Cotin
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引用次数: 7

Abstract

Minimally invasive surgery (MIS) is a recent surgical technique where the surgeon does not interact directly with the patient's organs. In contrast to open surgery, the surgeon manipulates the organs through instruments inserted in the patient's abdominal cavity while observing the organ from a display showing the video stream captured by an endoscopic camera. While the benefits of MIS for patients are clearly claimed, performing these operations remains very challenging for the surgeons, due to the loss of depth perception caused by this indirect manipulation. To tackle this limitation, the research community suggests to use augmented reality (AR) during the procedure [Haouchine et al. 2013]. The objective towards the use of AR during surgery is to be able to overlay the 3D model of the organ (that can be obtained from a pre-operative scan of the patient) onto the video stream. Surgical AR made considerable advances and reached a certain maturity in the estimation of tumors and vessels localisation. Howerver, very few studies have investigated depth perception and visualization of internal structures [Lerotic et al. 2007], which is considered by surgeons as a very sensitive issue. This study suggests a method to compensate the loss of depth perception while enhancing organ vessels and tumors to surgeons. This method relies on a combination of contour rendering technique and adaptive alpha blending to effectively perceive the vessels and tumors depth. In addition, this technique is designed to achieve real-time to satisfy the requirements of clinical routines, and has been tested on real human surgery.
提高手术增强现实中的深度感知
微创手术(MIS)是一种最新的外科技术,外科医生不直接与患者的器官相互作用。与开放手术相比,外科医生通过插入患者腹腔的器械来操作器官,同时通过显示内窥镜摄像机捕获的视频流的显示器观察器官。虽然MIS对患者的好处被明确宣称,但由于这种间接操作导致的深度知觉丧失,对外科医生来说,执行这些手术仍然是非常具有挑战性的。为了解决这一限制,研究界建议在手术过程中使用增强现实(AR) [Haouchine et al. 2013]。在手术中使用AR的目的是能够将器官的3D模型(可以从患者的术前扫描中获得)覆盖到视频流上。外科AR在肿瘤和血管定位的估计方面取得了相当大的进步,达到了一定的成熟度。然而,很少有研究调查了内部结构的深度感知和可视化[Lerotic et al. 2007],这被外科医生认为是一个非常敏感的问题。本研究向外科医生提出了一种补偿深度知觉损失的方法,同时增强了器官血管和肿瘤。该方法将轮廓绘制技术和自适应alpha混合技术相结合,有效地感知血管和肿瘤的深度。此外,该技术旨在实现实时性,以满足临床常规的要求,并已在真实的人体手术中进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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