Optimizing Remote Scanning Workflow with Automated Data Extraction from Streamed Content

Type: MA thesis

Status: running

Date: November 28, 2024 - May 28, 2025

Supervisors: Mathias Seuret, Andreas Maier, Wichmann, Andre (andre.wichmann@siemens-healthineers.com), Siemens Healthineers

Remote scanning allows medical technologists to operate scanning systems from a remote location. Scanners are connected via KVM-switches (Keyboard, Video, Mouse), as there is no other interface standard existing. However, KVM only streams video and control signals, without transmitting structured data like scan progress or warnings from the scanner. This limitation creates a significant challenge for remote operators, may miss important system events or updates, leading to potential miscommunication with onsite staff. This can result in delays in patient care and depend on the onsite team to monitor patient conditions effectively during scans.

Final Goals:
Prototype Methods to capture data from scanning console video streams in real time such as-
a) Error or Warning popup messages in different languages, from different interfaces
b) Calculate process progression from the progress bar.