Intraoperative Visualization of Anatomical Targets in Retinal Surgery
WACV '08 Proceedings of the 2008 IEEE Workshop on Applications of Computer Vision
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
A robust mosaicing method with super-resolution for optical medical images
MIAR'10 Proceedings of the 5th international conference on Medical imaging and augmented reality
Steerable intravitreal inserts for drug delivery: in vitro and ex vivo mobility experiments
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Dense surface reconstruction for enhanced navigation in MIS
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Real-Time endoscopic mosaicking
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
An Efficient Direct Approach to Visual SLAM
IEEE Transactions on Robotics
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Current technical limitations in retinal surgery hinder the ability of surgeons to identify and localize surgical targets, increasing operating times and risks of surgical error. In this paper we present a hybrid tracking and mosaicking method for augmented reality in retinal surgery. The system is a combination of direct and feature-based tracking methods. A novel extension for direct visual tracking using a robust image similarity measure in color images is also proposed. Several experiments conducted on phantom, in vivo rabbit and human images attest the ability of the method to cope with the challenging retinal surgery scenario. Applications of the proposed method for tele-mentoring and intra-operative guidance are demonstrated.