Alireza Sadeghi‐Tarakameh

This paper develops an 80-channel receive array for 10.5T MRI to optimize SNR and parallel imaging by addressing parasitic losses and design improvements.

This study quantifies parasitic losses in UHF MRI receive coils and shows how they reduce predicted SNR, providing guidance for improving coil design.

This paper uses 10.5T fMRI to achieve 0.5 mm isotropic resolution, enabling detailed study of hippocampal function and high-precision clinical applications.

This paper evaluates RF coil performance for 7T MRI using multi-parameter analysis, finding that increasing distance-to-load improves pSAR efficiency and homogeneity with minimal power efficiency loss.

This paper demonstrates the feasibility of mesoscopic whole-brain T2*-weighted MRI at 10.5 T using advanced coils and motion-robust sequences, showing improved SNR and quantification precision compared to 7 T.

The paper introduces a numerical method to quantify SAR prediction errors for MRI safety validation, avoiding the need for MR thermometry.

This paper demonstrates that 7T MRI improves spatial resolution and data quality for functional brain mapping in infants compared to 3T MRI, enabling more reliable developmental studies.

This paper presents initial results of 10.5 Tesla fMRI in humans, showing improved spatial resolution and functional contrast compared to 7 Tesla.

The paper develops a 128-channel receive array for 10.5T brain imaging, showing SNR gains and plateau effects in central regions.

The paper develops a high-channel-count RF coil array for 10.5T MRI, achieving high SNR and demonstrating high-resolution brain imaging at this field strength.