Real-Time Augmented Reality for Ear Surgery
Affiliation auteurs | !!!! Error affiliation !!!! |
Titre | Real-Time Augmented Reality for Ear Surgery |
Type de publication | Conference Paper |
Year of Publication | 2018 |
Auteurs | Hussain R, Lalande A, Marroquin R, Girum KBerihu, Guigou C, Grayeli ABozorg |
Editor | Frangi AF, Schnabel JA, Davatzikos C, AlberolaLopez C, Fichtinger G |
Conference Name | MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT IV |
Publisher | NVIDIA Inc; Siemens Healthineers GmbH; Guangzhou Shiyuan Elect Co Ltd; Subtle Med Inc; Arterys Inc; Claron Technol Inc; ImSight Inc; ImFusion GmbH; Medtron Plc; Depwise Inc; Carl Zeiss AG; Eurographics; Med Image Comp & Comp Assisted Intervent |
Conference Location | GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND |
ISBN Number | 978-3-030-00937-3; 978-3-030-00936-6 |
Mots-clés | Augmented reality, Image-guided surgery, Minimally invasive, Otology, Transtympanic procedures |
Résumé | Transtympanic procedures aim at accessing the middle ear structures through a puncture in the tympanic membrane. They require visualization of middle ear structures behind the eardrum. Up to now, this is provided by an oto endoscope. This work focused on implementing a real-time augmented reality based system for robotic-assisted transtympanic surgery. A preoperative computed tomography scan is combined with the surgical video of the tympanic membrane in order to visualize the ossciles and labyrinthine windows which are concealed behind the opaque tympanic membrane. The study was conducted on 5 artificial and 4 cadaveric temporal bones. Initially, a homography framework based on fiducials (6 stainless steel markers on the periphery of the tympanic membrane) was used to register a 3D reconstructed computed tomography image to the video images. Micro/endoscope movements were then tracked using Speeded-Up Robust Features. Simultaneously, a micro-surgical instrument (needle) in the frame was identified and tracked using a Kalman filter. Its 3D pose was also computed using a 3-collinear-point framework. An average initial registration accuracy of 0.21mm was achieved with a slow propagation error during the 2-minute tracking. Similarly, a mean surgical instrument tip 3D pose estimation error of 0.33mm was observed. This system is a crucial first step towards keyhole surgical approach to middle and inner ears. |
DOI | 10.1007/978-3-030-00937-3_38 |