We work at the intersection of innovative ultrasound diagnostics and cutting-edge clinical medicine. Our goal is to continuously advance diagnostic and therapeutic approaches in gastroenterology through more precise, less invasive, and smarter imaging techniques.

Contrast-enhanced ultrasound (CEUS) of the liver

A key focus of our research is contrast-enhanced ultrasound (CEUS), particularly its role in the differential diagnosis of focal liver lesions.
As liver lesions often require precise and timely characterization, CEUS offers a radiation-free, dynamic alternative to, or valuable complement to, standard cross-sectional imaging techniques such as CT and MRI. We investigate how diagnostic accuracy can be further improved through innovative contrast-enhanced protocols and advanced ultrasound technologies, enabling us to provide our patients with tailored answers in a timely manner.

Collaboration with the working-group Artificial Intelligence (Hohmann, Seraphin)

To unlock the full potential of modern medical imaging, we are exploring new approaches. At the heart of our work is a close collaboration with the Artificial Intelligence Research Group (Tobias Seraphin and Janik Hohmann).
By leveraging state-of-the-art AI algorithms and machine learning techniques, we develop and evaluate automated analysis tools for ultrasound data. These advanced algorithms enable more objective assessment of tissue structures, real-time pattern recognition, and optimal support for physicians in making complex diagnostic decisions.

• AI-assisted characterization of focal liver lesions using CEUS: Development and clinical validation of algorithms for the automated classification of benign and malignant liver lesions.
• AI-assisted detection of focal liver lesions: Segmentation of ultrasound videos to detect focal liver lesions.
• Comparison of modern ultrasound techniques: Benefits of SMI (broadband Doppler) and CEUS in the characterization of focal liver lesions, as well as analyses of the learning curve for both techniques and diagnostic accuracy as a function of user experience.
• Dynamic Contrast-Enhanced Ultrasound (DCE-US): Use of quantitative perfusion analysis to evaluate the therapeutic response of focal liver lesions to modern anticancer drugs.
• Ultrasound in rare infectious and liver diseases: Retrospective analysis of a large cohort of patients with cystic echinococcosis.

Do you have any questions or are you interested in collaborating with us?

We are always open to scientific exchange, clinical collaborations, and motivated students and colleagues who would like to become part of our team and contribute to our work. Please feel free to get in touch!