Spine Surgery Video Observation Study. The Creation of a Benchmark Video (RGB-Depth) Dataset to Investigate the Feasibility of Developing a Markerless Tracking System for Spine Surgery.
NCT06580379 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 25
Last updated 2024-08-30
Summary
The primary study objective is to build a video dataset, consisting of both colour and depth information, of spine surgery that includes both 'open' and 'minimally invasive' (MIS) surgeries. Using accompanying preoperative CT scans of the patient's spine, we aim to develop a markerless tracking system for spine surgery, which the collected dataset will be used to both train, and then benchmark against.
Conditions
- Spine Fusion
- Spine Injury
- Spine Degeneration
- Navigation, Spatial
Interventions
- PROCEDURE
-
Spine surgery
Spine surgery, such as fusion requiring the need for precise intraoperative registration and navigation
Sponsors & Collaborators
-
Imperial College Healthcare NHS Trust
collaborator OTHER -
Imperial College London
lead OTHER
Principal Investigators
-
Salvatore Russo, MD · Imperial College Healthcare Trust
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-10-31
- Primary Completion
- 2027-10-31
- Completion
- 2027-10-31
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