Intra-operative fiducial-based CT/fluoroscope image registration framework for image-guided robot-assisted joint fracture surgery
- Submitting institution
-
University of East London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 38
- Type
- D - Journal article
- DOI
-
10.1007/s11548-017-1602-9
- Title of journal
- International Journal of Computer Assisted Radiology and Surgery
- Article number
- -
- First page
- 1383
- Volume
- 12
- Issue
- 8
- ISSN
- 1861-6410
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2017
- URL
-
-
- 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
-
6
- Research group(s)
-
2 - Connected Devices and Systems
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Joint fractures must be accurately reduced minimising soft tissue damages to avoid negative surgical outcomes. To this regard, we have developed the RAFS surgical system, which allows the percutaneous reduction of intra-articular fractures and provides intra-operative real-time 3D image guidance to the surgeon. Earlier experiments showed the effectiveness of the robot-assisted fracture reduction surgery (RAFS) system on phantoms, but also key issues which precluded its use in a clinical application. This work proposes a redesign of the RAFS’s navigation system overcoming the earlier version’s issues, aiming to move the RAFS system into a surgical environment.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
