Keywords: Electromagnetic Tissue Properties, Electromagnetic Tissue Properties
Motivation: Current MR-Electrical Properties Tomography (MREPT) methods for ultra-high-field MRI depend on transceiver coil arrays and second-order differential operations on magnetic fields, often leading to errors and inaccuracies in reconstructions.
Goal(s): To create a neural network that reconstructs electrical properties (EPs) using $$$\overrightarrow{B_{1}^{-}}$$$ data collected from regular receive arrays.
Approach: A complex-valued, physics-informed neural network was trained on simulation data, then validated on both simulated and experimental 7T human head data. The network leverages the $$$\overrightarrow{B_{1}^{-}}$$$ magnitude and relative phase from each receive channel to extract EPs
Results: The network effectively reconstructed EPs in both simulation and 7T human brain MRI experiment.
Impact: This approach utilizes $$$\overrightarrow{B_{1}^{-}}$$$ magnitude and relative phase data from regular receive array to reconstruct EPs. It requires no additional hardware or complex software, offering potential for clinical MREPT applications.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords