2026-10-11T20:54:58Z https://www.scidb.cn/oai

10.57760/sciencedb.22560 2025-04-07T15:08:36Z

2025-04-07 MRE data processing pipeline doi:10.57760/sciencedb.22560 en 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.  Magnetic resonance elastography ; Phase unwrapping ; Modulus inversion Yuan Feng Shengyuan Ma PUBLIC https://creativecommons.org/licenses/by-nc/4.0/ dataset Science Data Bank