MRE data processing pipeline

We present a unified processing pipeline that automates the transformation of raw MRE data into shear modulus containing an optimization-based phase unwrapping method with Dual Data Consistency (Dual-DC) and a TWE-based Neural Network (TWENN) algorithm for modulus inversion. Raw phase images were first unwrapped using an adaptive algorithm employing Dual-DC algorithm. Phase unwrapping and principal component extraction were simultaneously achieved, balancing reconstruction accuracy and noise robustness.