Research

Quantitative Ultrasound

The Quantitative Ultrasound research line at MUSIC covers a wide range of aspects from improving image quality to tissue characterization using various quantitative parameters as well as artificial intelligence (AI) like deep learning techniques to asses features from echograms.

For example, we perform research on quantitative ultrasound techniques for automated head circumference measurement, breech position detection, improving breast tumor classification, staging of hepatic steatosis, and detection and differentiation of musculoskeletal diseases. For that, we derive quantitative parameters representing geometrical features or quantitative echographic features (brightness, speckle size, attenuation of the echo signal etc.,). Additionally, we develop image formation methods to improve the image quality like beamforming methods.