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Multi-view stereo and advanced navigation for transanal endoscopic microsurgery

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Title: Multi-view stereo and advanced navigation for transanal endoscopic microsurgery
Authors: Bergeles, C
Pratt, P
Merrifield, R
Darzi, A
Yang, G-Z
Item Type: Conference Paper
Abstract: Transanal endoscopic microsurgery (TEM), i.e., the local excision of rectal carcinomas by way of a bimanual operating system with magnified binocular vision, is gaining acceptance in lieu of more radical total interventions. A major issue with this approach is the lack of information on submucosal anatomical structures. This paper presents an advanced navigation system, wherein the intraoperative 3D structure is stably estimated from multiple stereoscopic views. It is registered to a preoperatively acquired anatomical volume based on subject-specific priors. The endoscope motion is tracked based on the 3D scene and its field-of-view is visualised jointly with the preoperative information. Based on in vivo data, this paper demonstrates how the proposed navigation system provides intraoperative navigation for TEM1.
Issue Date: 18-Sep-2014
Date of Acceptance: 14-Sep-2014
URI: http://hdl.handle.net/10044/1/60667
DOI: https://dx.doi.org/10.1007/978-3-319-10470-6_42
ISBN: 978-3-319-10469-0
Publisher: Springer
Start Page: 332
End Page: 339
Journal / Book Title: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Volume: 17
Issue: Pt 2
Copyright Statement: © 2014 Springer International Publishing Switzerland. The final publication is available at Springer via https://dx.doi.org/10.1007/978-3-319-10470-6_42
Sponsor/Funder: National Institute for Health Research
Funder's Grant Number: NF-SI-0510-10186
Conference Name: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
Keywords: Science & Technology
Life Sciences & Biomedicine
Computer Science, Artificial Intelligence
Imaging Science & Photographic Technology
Radiology, Nuclear Medicine & Medical Imaging
Computer Science
Image Enhancement
Image Interpretation, Computer-Assisted
Imaging, Three-Dimensional
Pattern Recognition, Automated
Rectal Neoplasms
Reproducibility of Results
Sensitivity and Specificity
Surgery, Computer-Assisted
08 Information And Computing Sciences
Artificial Intelligence & Image Processing
Publication Status: Published
Start Date: 2014-09-14
Finish Date: 2014-09-18
Conference Place: Boston, MA, USA
Appears in Collections:Department of Surgery and Cancer
Institute of Global Health Innovation
Faculty of Engineering