APRIL: Adaptive Regression-Based Two-Dimensional Quantitative Anisotropy Imaging Using Acoustic Radiation Force Impulse
Md Walid Hassan, Kayla Crook, Young Jin Gi, Jangsoon Lee, Md Murad Hossain
This paper introduces APRIL, a method for 2D depth-resolved anisotropy imaging using ARFI, achieving SMR prediction errors below 9% and SSIM up to 86% in heterogeneous phantoms.
bioRxiv · Jul 1, 2026 · PreprintBioengineering