DocumentCode :
617638
Title :
Robot assisted endomicroscopic image mosaicing with optimal surface coverage and reconstruction
Author :
Simaiaki, Vasiliki ; Giataganas, Petros ; Guang-Zhong Yang
Author_Institution :
Hamlyn Centre for Robotic Surg., Imperial Coll. London, London, UK
fYear :
2013
fDate :
7-11 April 2013
Firstpage :
1432
Lastpage :
1435
Abstract :
Probe-based confocal laser endomicroscopy is an emerging technique for real-time in vivo and in situ tissue characterization. Major challenges related to the use of confocal endomicroscopy in clinical environments are the narrow field of view of pCLE images and a lack of spatio-Iocalization. The flexibility of the probe also hampers its manipulation in a consistent manner. These challenges are addressed in this paper by using a compliant robotic manipulator to provide simultaneous image mosaicing and surface reconstruction. The tip position given by the robot is combined with image registration in order to achieve accurate localization. Issues related to optimal path planning for 3D surface coverage are addressed. The proposed method enables the derivation of a functional three-dimensional map of the tissue suitable for intraoperative margin definition during cancer surgery.
Keywords :
biological tissues; endoscopes; image registration; image segmentation; manipulators; medical image processing; medical robotics; optical microscopy; surface reconstruction; 3D surface coverage; cancer surgery; image registration; optimal surface reconstruction; pCLE image; probe-based confocal laser endomicroscopy; real-time in situ tissue characterization; real-time in vivo tissue characterization; robot assisted endomicroscopic image mosaicing; robotic manipulator; Abstracts; Image reconstruction; Indexes; Probes; Programming; Robots; Surface reconstruction; Endomicroscopy; mosaicing; optimal surface coverage; surface reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
Conference_Location :
San Francisco, CA
ISSN :
1945-7928
Print_ISBN :
978-1-4673-6456-0
Type :
conf
DOI :
10.1109/ISBI.2013.6556803
Filename :
6556803
Link To Document :
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