Medical 3D Images in Multimodal Virtual Reality

Publikation

Alexander Prange; Michael Barz; Daniel Sonntag

In: IUI Companion. International Conference on Intelligent User Interfaces (IUI), Pages 19:1-19:2, ACM, 2018.

Zusammenfassung

We present a multimodal medical 3D image system for radiologists in an virtual reality (VR) environment. Users can walk freely inside the virtual room and interact with the system using speech, going through patient records, and manipulate 3D image data with hand gestures. Medical images are retrieved from the hospital's Picture and Archiving System (PACS) and displayed as 3D objects inside VR. Our system incorporates a dialogue-based decision support system for treatments. A central supervised patient database provides input to our predictive model and allows us, first, to add new examination reports by a pen-based mobile application on-the-fly, and second, to get therapy prediction results in real-time. This demo includes a visualisation of real patient records, 3D DICOM radiology image data, and real-time therapy predictions in VR.

Projekte

KDI - Klinische Datenintelligenz

Medical 3D Images in Multimodal Virtual Reality

Zusammenfassung

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