Localization-based configuration detection of a modular operating table

Operationstisch mit abnehmbaren und verstellbaren Segmenten.

Context

Correct patient positioning is a crucial aspect of preparing for a surgical procedure. It ensures optimal access to the surgical site, enables clear imaging, supports organ positioning by gravity and protects the patient from pressure ulcers during long operations.

The correct table configuration and patient positioning depend on several factors, including the type and location of the procedure, the equipment required, the patient's anatomy and physical condition, and the surgeon's individual preferences. The set-up can take ten minutes or longer per procedure. If an incorrect table configuration is discovered after anesthesia, it can lead to inadequate positioning, costly delays and increased risk to the unconscious patient.

Aims

The aim of this master's thesis is to automatically detect the accessory configuration of an operating table during set-up by the clinical staff and to check its plausibility afterwards. For this purpose, a system for localizing operating table accessories is used, which is currently implemented in a partner hospital and continuously collects data from everyday clinical practice.

As part of the project, the collected data will be analyzed in order to evaluate the performance of the system. Both the recognition accuracy and the error rate will be examined in order to make a well-founded statement about the reliability of the automated recognition and plausibility check of the accessory configuration.

Requirements

Independent way of working and creative way of thinking
Programming skills in Python
The work will be carried out at Getinge AB in Rastatt and thus offers the possibility of a strong practical relevance.