Temporal Matching in Endoscopic Images for Remote-Controlled Robotic Surgery

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 ma...

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Main Authors: Jia Gu, Rolf Wolters, Ulf Gustafsson
Format: Article
Language:English
Published: Wiley 2009-01-01
Series:International Journal of Telemedicine and Applications
Online Access:http://dx.doi.org/10.1155/2009/627625
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author Jia Gu
Rolf Wolters
Ulf Gustafsson
author_facet Jia Gu
Rolf Wolters
Ulf Gustafsson
author_sort Jia Gu
collection DOAJ
description 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.
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spelling doaj-art-c514e5e462cf4617bea8ed7c967353ab2025-02-03T01:23:23ZengWileyInternational Journal of Telemedicine and Applications1687-64151687-64232009-01-01200910.1155/2009/627625627625Temporal Matching in Endoscopic Images for Remote-Controlled Robotic SurgeryJia Gu0Rolf Wolters1Ulf Gustafsson2Key Laboratory for Biomedical Informatics and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518067, ChinaSTI Medical Systems, 733 Bishop Street no. 3100, Honolulu, HI 96813, USASTI Medical Systems, 733 Bishop Street no. 3100, Honolulu, HI 96813, USATemporal 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.http://dx.doi.org/10.1155/2009/627625
spellingShingle Jia Gu
Rolf Wolters
Ulf Gustafsson
Temporal Matching in Endoscopic Images for Remote-Controlled Robotic Surgery
International Journal of Telemedicine and Applications
title Temporal Matching in Endoscopic Images for Remote-Controlled Robotic Surgery
title_full Temporal Matching in Endoscopic Images for Remote-Controlled Robotic Surgery
title_fullStr Temporal Matching in Endoscopic Images for Remote-Controlled Robotic Surgery
title_full_unstemmed Temporal Matching in Endoscopic Images for Remote-Controlled Robotic Surgery
title_short Temporal Matching in Endoscopic Images for Remote-Controlled Robotic Surgery
title_sort temporal matching in endoscopic images for remote controlled robotic surgery
url http://dx.doi.org/10.1155/2009/627625
work_keys_str_mv AT jiagu temporalmatchinginendoscopicimagesforremotecontrolledroboticsurgery
AT rolfwolters temporalmatchinginendoscopicimagesforremotecontrolledroboticsurgery
AT ulfgustafsson temporalmatchinginendoscopicimagesforremotecontrolledroboticsurgery