Ultrasonic imaging of elasticity of soft tissue based on measurement of internal displacement and strain

Abstract

Changes in tissue elasticity are related to diffuse disease processes of living soft tissue. The goal of this study is to characterize tissue elasticity based on ultrasonic measurement of displacement and strain when the primary cardiac pulsation or the external mechanical force is applied to the soft tissue. A model is presented for the changes in tissue elasticity as a change of internal strain tensor, which results in variation in the Young's or shear modulus of elasticity. Measurements are performed using real-time ultra-sound and the sequences of RF echo signal returned from tissue are digitized to estimate local tissue displacement. In this paper the 2-dimensional distribution of internal displacement is estimated using the spatio-temporal derivative of RF echo envelope signals, from which components of internal strain tensor are computed. Experiments on tissue mimicking phantoms indicate that 2-dimensional fields of components of strain tensor can be estimated with the spatial resolution of 8 mm/spl times/8 mm. The distribution of the relative shear modulus based on strain images is reconstructed. In experiments with living soft tissue, such as liver in vivo, the relative shear modulus is large in less elastic regions. The elasticity of soft tissue can be characterized as the relative shear modulus computed from the local strain tensor observed in the received RF echo signals.