Unrolled Optimization via Physics-Assisted Convolutional Neural Network for MR-Based Electrical Properties Tomography: A Numerical Investigation

Unrolled Optimization via Physics-Assisted Convolutional Neural Network for MR-Based Electrical Properties Tomography: A Numerical Investigation

Magnetic Resonance imaging based Electrical Properties Tomography (MR-EPT) is a non-invasive technique that measures the electrical properties (EPs) of biological tissues. In this work, we present and numerically investigate the performance of an unrolled, physics-assisted method for 2D MR-EPT recon...

Full description

Saved in:
Bibliographic Details
Main Authors: Sabrina Zumbo, Stefano Mandija, Ettore F. Meliado, Peter Stijnman, Thierry G. Meerbothe, Cornelis A.T. van den Berg, Tommaso Isernia, Martina T. Bevacqua
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Engineering in Medicine and Biology
Subjects:
Convolutional neural network
electrical properties
inverse scattering problems
learning methods
magnetic resonance imaging
Online Access:https://ieeexplore.ieee.org/document/10534835/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10534835/

Similar Items