Serra Juhé A, Rinck D, Maier A (2023)
Publication Type: Conference contribution
Publication year: 2023
Publisher: IEEE Computer Society
Book Volume: 2023-April
Conference Proceedings Title: Proceedings - International Symposium on Biomedical Imaging
Event location: Cartagena, COL
ISBN: 9781665473583
DOI: 10.1109/ISBI53787.2023.10230770
In the future, medical imaging devices such as computed tomography (CT) and magnetic resonance (MR) are expected to become increasingly autonomous. Therefore, design criteria and workflow of such devices will change substantially. Moreover, sensor data of the system are required to develop scene understanding algorithms to support and guide the user. In this work, we present an approach to generate synthetic 3D point cloud data from a simulated MR examination experienced on the Microsoft Hololens2. The complete workflow of an MR examination using a virtual, autonomous MR scanner is reproduced in an AR scene. The user is recorded by a system of active stereo vision RGBD-cameras while interacting with AR elements. A registration routine of the AR scene and the RGBD-cameras is described, and accuracy measurements are provided. The real point clouds are fused with virtually generated point clouds from the AR scene.
APA:
Serra Juhé, A., Rinck, D., & Maier, A. (2023). Generation of Synthetic 3D Data Using Simulated MR Examinations in Augmented Reality. In Proceedings - International Symposium on Biomedical Imaging. Cartagena, COL: IEEE Computer Society.
MLA:
Serra Juhé, Aniol, Daniel Rinck, and Andreas Maier. "Generation of Synthetic 3D Data Using Simulated MR Examinations in Augmented Reality." Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, COL IEEE Computer Society, 2023.
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