SLAM-based dense surface reconstruction in monocular Minimally Invasive Surgery and its application to Augmented Reality
- Submitting institution
-
The University of Bradford
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 24
- Type
- D - Journal article
- DOI
-
10.1016/j.cmpb.2018.02.006
- Title of journal
- Computer Methods and Programs in Biomedicine
- Article number
- -
- First page
- 135
- Volume
- 158
- Issue
- -
- ISSN
- 0169-2607
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2018
- URL
-
https://www.sciencedirect.com/science/article/abs/pii/S0169260717301694?via%3Dihub
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 22
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A novel 3D surface reconstruction framework for intra-operative monocular laparoscopic scenes was presented and tested on simulated laparoscopic images and clinical data. This is significant because this approach utilises additional depth-cues and geometry-aware augmented reality in Minimally Invasive Surgery, which is new and has not been used before. The work is published in a leading international journal in the field. This provides new possibilities for novel geometrically informed AR augmentations in monocular endoscopic MIS, including accurate annotations, labels, tumour measurement and artificial depth cues at correct depth locations. Led a PhD student gaining a prestigious job (high tech company Bluevision).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
