Proof of Concept: Wearable Augmented Reality Video See-Through Display for Neuro-Endoscopy

In mini-invasive surgery and in endoscopic procedures, the surgeon operates without a direct visualization of the patient’s anatomy. In image-guided surgery, solutions based on wearable augmented reality (AR) represent the most promising ones. The authors describe the characteristics that an ideal Head Mounted Display (HMD) must have to guarantee safety and accuracy in AR-guided neurosurgical interventions and design the ideal virtual content for guiding crucial task in neuro endoscopic surgery. The selected sequence of AR content to obtain an effective guidance during surgery is tested in a Microsoft Hololens based app

Hybrid Video/Optical See-Through HMD

An old but still ongoing subject of debate among augmented reality (AR) experts is about which see-through paradigm is best in wearable AR displays. Video see-through (VST) and optical see-through (OST) paradigms have both their own strengths and shortcomings with respect to technological and human-factor aspects. The major difference between these see-through paradigms is in providing an aided (VST) or unaided (OST) view of the real world. In this work, we present a novel approach for the development of AR stereoscopic head-mounted displays (HMDs) that can provide both the see-through mechanisms. Our idea is to dynamically modify the transparency of the display through a liquid crystal (LC)-based electro-optical shutter applied on the top of a standard OST device opportunely modified for housing a pair of external cameras. A plane-induced homography transformation is used for consistently warping the video images, hence reducing the parallax between cameras and displays. An externally applied drive voltage is used for smoothly controlling the light transmittance of the LC shutters so as to allow an easy transition between the unaided and the camera-mediated view of the real scene. Our tests have proven the efficacy of the proposed solution under worst-case lighting conditions