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Accuracy Validation of an Image Guided Laparoscopy System for Liver Resection

Thompson, S; Totz, J; Song, Y; Johnsen, S; Stoyanov, D; Ourselin, S; Gurusamy, K; ... Clarkson, MJ; + view all (2015) Accuracy Validation of an Image Guided Laparoscopy System for Liver Resection. In: Webster, RJ and Yaniv, ZR, (eds.) Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions and Modeling. (pp. p. 941509). Society of Photo-optical Instrumentation Engineers Green open access

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Abstract

We present an analysis of the registration component of a proposed image guidance system for image guided liver surgery, using contrast enhanced CT. The analysis is performed on a visually realistic liver phantom and in-vivo porcine data. A robust registration process that can be deployed clinically is a key component of any image guided surgery system. It is also essential that the accuracy of the registration can be quantified and communicated to the surgeon. We summarise the proposed guidance system and discuss its clinical feasibility. The registration combines an intuitive manual alignment stage, surface reconstruction from a tracked stereo laparoscope and a rigid iterative closest point registration to register the intra-operative liver surface to the liver surface derived from CT. Testing of the system on a liver phantom shows that subsurface landmarks can be localised to an accuracy of 2.9 mm RMS. Testing during five porcine liver surgeries demonstrated that registration can be performed during surgery, with an error of less than 10 mm RMS for multiple surface landmarks.

Type: Proceedings paper
Title: Accuracy Validation of an Image Guided Laparoscopy System for Liver Resection
Event: Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions and Modeling: Orlando, Florida, United States, February 21, 2015
ISBN: 9781628415056
Open access status: An open access version is available from UCL Discovery
DOI: 10.1117/12.2080974
Publisher version: http://dx.doi.org/10.1117/12.2080974
Language: English
Additional information: Copyright © 2015 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
UCL classification: UCL
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 Surgical Biotechnology
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 Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1454161
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