Hybrid tracking and mosaicking for information augmentation in retinal surgery
作者： Rogério Richa , Balázs Vágvölgyi , Marcin Balicki , Gregory Hager , Russell H. Taylor
DOI: 10.1007/978-3-642-33415-3_49
关键词: Imaging phantom 、 Eye tracking 、 Computer science 、 Augmented reality 、 Tracking (particle physics) 、 Retinal surgery 、 Computer vision 、 Similarity measure 、 Artificial intelligence
摘要: Current technical limitations in retinal surgery hinder the ability of surgeons to identify and localize surgical targets, increasing operating times risks error. In this paper we present a hybrid tracking mosaicking method for augmented reality surgery. The system is combination direct feature-based methods. A novel extension visual using robust image similarity measure color images also proposed. Several experiments conducted on phantom, vivo rabbit human attest cope with challenging scenario. Applications proposed tele-mentoring intra-operative guidance are demonstrated.
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