@inproceedings{025dee4e174c440a8a676d3a00c21cc2,
title = "Registration methods to enable augmented reality-assisted 3D image-guided interventions",
abstract = "Augmented reality (AR) can be used to visualize virtual 3D models of medical imaging in actual 3D physical space. Accurate registration of these models onto patients will be essential for AR-assisted image-guided interventions. In this study, registration methods were developed, and registration times for aligning a virtual 3D anatomic model of patient imaging onto a CT grid commonly used in CT-guided interventions were compared. The described methodology enabled automated and accurate registration within seconds using computer vision detection of the CT grid as compared to minutes using user-interactive registration methods. Simple, accurate, and near instantaneous registration of virtual 3D models onto CT grids will facilitate the use of AR for real-time procedural guidance and combined virtual/actual 3D navigation during image-guided interventions.",
keywords = "AR, Augmented reality, IR, Image-guided interventions, Interventional radiology, Mixed reality, Registration",
author = "Park, {Brian J.} and Stephen Hunt and Gregory Nadolski and Terence Gade",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Fully3D 2019 ; Conference date: 02-06-2019 Through 06-06-2019",
year = "2019",
doi = "10.1117/12.2533787",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Samuel Matej and Metzler, {Scott D.}",
booktitle = "15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine",
}