@inproceedings{451e791a9da34419b2fea9d37da72597,
title = "Bringing any Medical 3D Scan onto Augmented Reality Hardware - A Streamlined Data Pipeline",
abstract = "This contribution presents a streamlined data pipeline to bring medical 3D scans onto Augmented Reality (AR) hardware. When a 3D scan is visualized on a 2D screen, depth information is lost and doctors have to rely on their experience to map the displayed data to the patient. Showing such a scan in AR addresses this problem, as one can view that scan in real 3D. To achieve this, the scan produced by a medical scanner has to be preprocessed by the user and brought onto the AR hardware. Usually, many manual steps are involved in achieving this, which require technical knowledge about the underlying software and hardware components and impede acceptance of this new technology by the target group, medical personnel. This work presents a streamlined pipeline for this process, leading to an enhanced user experience. The core component of the pipeline is a web application, to which a user can upload the direct output of a medical scanner. The scan can be interactively segmented by the user, after which both the scan and segment are stored on a server. Additionally, this paper introduces an AR application, which can be used to browse through patients and view their scans and previously created segments. We evaluate our streamlined data pipeline and AR application in a user study, reporting the results of a system usability questionnaire and a Thinking Aloud test.",
keywords = "Augmented Reality, Cloud, CT, DiCOM, User Study, Workflow",
author = "Paul Ganster and Maximilian Weber and Daniel Wild and Christina Gsaxner and Natalie Schellnegger and Jan Egger",
note = "Funding Information: This work was supported by the Austrian Science Fund (FWF) KLI 678-B31 ”enFaced”, the Austrian Research Promotion Agency (FFG) COMET K-Project 871132 ”CAMed”, and the REACT-EU project KITE (Plattform f{\"u}r KI-Translation Essen). Finally, we acknowledge Augmentomy (https://augmentomy.tech/), aws First Inkubator and the Gr{\"u}ndungsgarage for their support. Publisher Copyright: {\textcopyright} 2022 SPIE.; Medical Imaging 2022: Imaging Informatics for Healthcare, Research, and Applications ; Conference date: 21-03-2022 Through 27-03-2022",
year = "2022",
doi = "10.1117/12.2612563",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Deserno, {Thomas M.} and Deserno, {Thomas M.} and Park, {Brian J.}",
booktitle = "Medical Imaging 2022",
address = "United States",
}