Physics-Informed Deep-Learning For Elasticity: Forward, Inverse, and Mixed Problems.

ABSTRACT: Elastography is a medical imaging technique used to measure the elasticity of tissues by comparing ultrasound signals before and after a light compression. The lateral resolution of ultrasound is much inferior to the axial resolution. Current elastography methods generally require both axial and lateral displacement components, making them less effective for clinical applications. Additionally, these methods often rely on the assumption of material incompressibility, which can lead to inaccurate elasticity reconstruction as no materials are truly incompressible. To address these challenges, a new physics-informed deep-learning method for elastography is proposed. This new method integrates a displacement network and an elasticity network to reconstruct the Young's modulus field of a hetero

SUBMITTER: Chen CT 

PROVIDER: S-EPMC10288249 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature