Temporal matching in endoscopic images for remote-controlled robotic surgery

Authors:
Jia Gu;Rolf Wolters;Ulf Gustafsson
Affiliations:
Key Laboratory for Biomedical Informatics and Health Engineering, Shnzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China;STI Medical Systems, Honolulu, HI;STI Medical Systems, Honolulu, HI
Venue:
International Journal of Telemedicine and Applications
Year:
2009

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Abstract

Temporal matching is applied in the frame of the formation of high-level entities in remote-controlled robotic surgery. The objective is to track tumor boundaries over time to improve the segmentation stage in each image of the sequence to facilitate the tracking and localization of the tumor. It makes use of an attributed string matching technique to find the correspondence between tumor boundaries over time. Relationships are then exploited to reconstitute the tumor boundaries and remove the inconsistencies coming from the detection errors. Input data are free form shapes of different length representing the tumor boundary, extracted at a previous stage.