BICTool: Image Quality in Computed Tomography
The BICTool project aims to objectively determine the quality of patient images in computed tomography (CT) and represents an important advancement in imaging research.
It involves the development and validation of a software tool for the objective evaluation of image quality in computed tomography. It is based on classical objective evaluation methods and extends these by using artificial intelligence (AI). It follows on from the iViolin project, which dealt with images of the thorax. However, BICTool will evaluate medical images of the brain region in the future.
The newly developed methods will be continuously evaluated by clinical experts to ensure their practicality and clinical utility. In addition, great emphasis is placed on the integration of the PAX system to ensure the compatibility of the new procedure with the clinical workflow.
The aim of the project is to enable a modern and efficient image quality assessment system by combining classical methods with AI-supported approaches, optimising CT protocols and reducing radiation exposure while maintaining diagnostic accuracy.
The project is funded from 10/2024 to 10/2027 by the Federal Office for Radiation Protection.
