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Re-localisation of a biopsy site in endoscopic images and characterisation of its uncertainty

Allain, B; Hu, M; Lovat, LB; Cook, RJ; Vercauteren, T; Ourselin, S; Hawkes, DJ; (2012) Re-localisation of a biopsy site in endoscopic images and characterisation of its uncertainty. Medical Image Analysis , 16 (2) 482 - 496. 10.1016/j.media.2011.11.005.

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Abstract

Endoscopy guided probe-based optical biopsy is a new method for detecting sites for tissue biopsy and treatment. After detection, it can be useful to provide a visual aid in the endoscopic images to the endoscopist for example for guidance of forceps to the biopsy sites detected optically. A new method for re-localisation of these sites during the endoscopic examination is presented in this paper. It makes use of a sequence of endoscopic images, where the biopsy site location is known, in order to derive the same number of epipolar lines as images in the sequence projected onto a subsequent target image where the re-localised biopsy site needs to be computed. The location of the re-localised biopsy site is found by minimisation of the sum of squared distances to the epipolar lines. The method also determines analytically the uncertainty of the re-localised biopsy site. This provides the endoscopist with a confidence region around the re-localised biopsy site and a measure of the re-localisation precision. Simulations confirmed that the analytical uncertainty has the potential to be a good estimation of the experimental uncertainty. The method was tested on a physical phantom and on real data from four patients with eight sequences of images acquired during gastroscopy. The re-localisation precision and accuracy were estimated at 1 millimetre or better, which is sufficient for re-localisation of optical biopsy sites.

Type: Article
Title: Re-localisation of a biopsy site in endoscopic images and characterisation of its uncertainty
Location: Netherlands
DOI: 10.1016/j.media.2011.11.005
Publisher version: http://dx.doi.org/10.1016/j.media.2011.11.005
Language: English
Keywords: Algorithms, Barrett Esophagus, Biopsy, Data Interpretation, Statistical, Endoscopy, Gastrointestinal, Esophagus, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Pattern Recognition, Automated, Reproducibility of Results, Sensitivity and Specificity
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci > Department of Targeted Intervention
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: http://discovery.ucl.ac.uk/id/eprint/1335510
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