Multi-view stereo and advanced navigation for transanal endoscopic microsurgery
File(s)paper1190_compressed.pdf (9.55 MB)
Published version
Author(s)
Bergeles, Christos
Pratt, Philip
Merrifield, Robert
Darzi, Ara
Yang, Guang-Zhong
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.
Date Issued
2014-09-18
Date Acceptance
2014-09-14
Citation
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 2014, 17 (Pt 2), pp.332-339
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
National Institute for Health Research
Grant Number
NF-SI-0510-10186
Source
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
Subjects
Algorithms
Colonoscopy
Humans
Image Enhancement
Image Interpretation, Computer-Assisted
Imaging, Three-Dimensional
Microsurgery
Pattern Recognition, Automated
Rectal Neoplasms
Reproducibility of Results
Sensitivity and Specificity
Surgery, Computer-Assisted
Publication Status
Published
Start Date
2014-09-14
Finish Date
2014-09-18
Coverage Spatial
Boston, MA, USA