Our research in quantitative ultrasound (QUS) reveals the hidden architecture and physical characteristics of soft tissues, moving beyond the subjective interpretation of conventional ultrasound imaging. By measuring how ultrasound energy diminishes as it propagates, valuable insight is obtained into tissue density, uniformity, and internal consistency. Analysis of the scattered echoes from microstructures further captures signatures of tissue organization and microarchitecture.
The evaluation of the speed at which sound travels enables the differentiation of tissues based on elasticity and composition. Mapping variations in scatterer size and distribution—translating acoustic echo patterns into intuitive visual cues of tissue morphology—brings subtle structural differences to light. The assessment of wave distortion, through the detection of harmonic and nonlinear responses, uncovers deeper layers of interaction that cannot be resolved by linear models alone.
The aim of our work is to develop and validate methods that enhance the understanding of tissue characteristics in order to support more accurate, accessible, and comparable diagnoses in everyday medical practice.
