title: Surgical tools recognition and pupil segmentation for cataract surgical process modeling.
abstract: In image-guided surgery, a new generation of Computer-Assisted-Surgical (CAS) systems based on information from the Operating Room (OR) has recently been developed to improve situation awareness in the OR. Our main project is to develop an application-dependant framework able to extract high-level tasks (surgical phases) using microscope videos data only. In this paper, we present two methods: one method to segment the pupil and one to extract and recognize surgical tools. We show how both methods improve the accuracy of the framework for analysis of cataract surgery videos, to detect eight surgical phases.
authors.affiliation: INSERM, U746, Faculté de médecine CS 34317, F-35043 Rennes Cedex, France. david.bouget@irisa.fr
authors.forename: David
authors.initials: D
authors.lastname: Bouget
authors.forename: Florent
authors.initials: F
authors.lastname: Lalys
authors.forename: Pierre
authors.initials: P
authors.lastname: Jannin
mesh_terms: D002387:Cataract Extraction; D005858:Germany; D006801:Humans; D018715:Microscopy, Video; D011680:Pupil; D025321:Surgery, Computer-Assisted / Q000379:methods*; D013525:Surgical Instruments