Conducting a study on image-based measurement of radiation exposure during surgical procedures to improve patient and staff safety

Context

The target of the KIMONO project is to develop intelligent assistance systems to improve safety in the operating room through the use of AI-based image analysis. To this end, footage from ceiling-mounted cameras is used to automatically track the positions of patients, surgical staff, and X-ray systems. Based on the spatial positions and distances to the X-ray machine, the individual radiation exposure of the surgical staff is simulated.

As part of this work, a clinical study will be planned, conducted, and evaluated to validate the accuracy of the simulation-based radiation exposure measurement. To this end, participating staff will wear dosimeters during X-ray-guided procedures, and the readings from these dosimeters will be compared with the exposure values calculated based on the camera data. The target of the study is to evaluate the validity of the AI-based radiation exposure simulation.

Tasks

The following challenges await you within the project:

• - You will assist in the design and implementation of a study to validate radiation exposure simulation in the operating room
• - You will analyze and compare simulated radiation exposure values with real measurement data from dosimeters
• - You will perform data preparation, analysis, and structured documentation of the study results

Requirements

• - You are motivated, proactive, and work conscientiously
• - You have experience in data analysis, ideally with Python
• - Your academic focus is on medical technology, information technology, or signal processing