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2D vs 3D Electrical Properties Tomography reconstruction: The impact of disregarding the third dimension.

Complex B1 field predictions to evaluate Electrical Properties Tomography reconstructions.

Data-driven Electrical Conductivity Reconstructions via transceive phase and signal magnitude gradient data from the three imaging directions

Integrating Deep Learning for Detection and Correction of Motion Artifacts in multi-echo GRE MRI

Author:Eun-Gyu Ha  Kyu-Jin Jung  Mohammed Al-masni  Dong-Hyun Kim  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Acquisitions & Reconstructions Using AI II  

Program Number:2824  

Room Session:Exhibition Hall (Hall 403)  

Institution:Sejong University  Yonsei University  

A Joint 2.5D Physics-coupled Deep learning based Polynomial Fitting Approach for MR Electrical Properties Tomography

A metric to access the noise error propagation in phase-based MR-EPT reconstruction