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Surgical Tools Recognition and Pupil Segmentation for Cataract Surgical Process Modeling

David Bouget 1, * Florent Lalys 1 Pierre Jannin 1 
* Corresponding author
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
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.
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Submitted on : Monday, February 13, 2012 - 3:57:19 PM
Last modification on : Wednesday, February 2, 2022 - 3:50:53 PM
Long-term archiving on: : Monday, May 14, 2012 - 2:41:08 AM


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  • HAL Id : inserm-00669660, version 1


David Bouget, Florent Lalys, Pierre Jannin. Surgical Tools Recognition and Pupil Segmentation for Cataract Surgical Process Modeling. Medicine Meets Virtual Reality - NextMed, Feb 2012, Newport beach, CA, United States. pp.78-84. ⟨inserm-00669660⟩



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