Registration of preoperative temporal bone CT-scan to otoendoscopic video for augmented-reality based on convolutional neural networks.
Ali TalebSarah LeclercRaabid HusseinAlain LalandeAlexis Bozorg-GrayeliPublished in: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery (2024)
A fully automatic 2D registration method based on a convolutional neural network and applied to ear surgery was developed. The method did not rely on any external fiducial markers nor human intervention for landmark recognition. The method was fast and its precision was compatible with ear surgery.
Keyphrases
- convolutional neural network
- deep learning
- minimally invasive
- coronary artery bypass
- computed tomography
- randomized controlled trial
- endothelial cells
- machine learning
- surgical site infection
- patients undergoing
- dual energy
- magnetic resonance imaging
- magnetic resonance
- virtual reality
- body composition
- coronary artery disease
- positron emission tomography
- percutaneous coronary intervention
- soft tissue