Article

APRIL: Adaptive Regression-Based Two-Dimensional Quantitative Anisotropy Imaging Using Acoustic Radiation Force Impulse

2026-07-01

Abstract excerpt

<h4>Objective</h4> This study aims to develop and validate a quantitative, depth-resolved anisotropy imaging framework that extends ARFI-based focal degree-of-anisotropy (DoA) estimation into two-dimensional mapping by modeling the depth-dependent relationship between shear modulus ratio (SMR) and peak displacement ratio (PDR). <h4>Methods</h4> We propose APRIL ( A daptive P olynomial R egression for anisotro...

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Literature Corpus work: e1c67e72-6ddf-579f-8e57-7d7a6dc7e156
DOI: 10.64898/2026.06.30.735710

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APRIL: Adaptive Regression-Based Two-Dimensional Quantitative Anisotropy Imaging Using Acoustic Radiation Force ImpulseDOI 10.64898/2026.06.30.735710Read

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