ClinicalTrials.gov
public full text
Public Domain
Design of an Augmented Reality System by Integration of CT Scan or MRI Data With Endoscopic Images for Video-assisted Endonasal Endoscopic Surgery
The gold standard surgical treatment for benign nasosinus pathologies is endoscopic surgery. This surgery has experienced considerable growth over the last 30 years. Nevertheless, these techniques can potentially lead to serious complications, with risks of damaging adjacent structures (orbit, optic nerve, meninge or internal carotid artery). Therefore, improving the safety of these procedures is a fundamental objective. Recently, computer-assisted surgery, allowing endonasal navigation, has emerged. It appears to be an asset for the patient, limiting complications and morbidity, and for the surgeon, improving his comfort and reducing his mental workload. The major pitfall of the current technique is the loss of localisation reliability during the intervention due to the registration process and the presence of two screens (to locate the object on the endoscopic image and on the scan) We would like to propose solutions to these limitations using a device based on augmented reality and 3D reconstructions. It would guide the gesture in endonasal endoscopic surgery by displaying high-risk areas and surgical landmarks in a reliable and precise way.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Beyond ZOH: Advanced Discretization Strategies for Vision Mamba#124100
- Gokiburi: A projection mapping system on a moving human#369491
- Hyperangulated videolaryngoscopy.#247909
- Conventional Versus Virtual Reality-Based Hess-Lancaster Assessment: Agreement and Repeatability in Ocular Motility Evaluation.#315521
- SurgGaze: Implicit Calibration for Accurate Gaze Analysis in Operating Rooms with Wearable Eyetrackers#1061249
Record · ID 805586
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive