Russell Lagore

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.

The paper develops an RF coil array system for high-resolution in vivo and ex vivo non-human primate brain imaging at 10.5 Tesla, achieving improved spatial resolution and imaging capabilities.

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 introduces a novel MRI technique for simultaneous fMRI of rat brain and spinal cord, demonstrating its feasibility for functional CNS assessments.

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.

This paper demonstrates ultra-high field (10.5 T) resting state fMRI in macaques, revealing detailed and robust resting state components similar to human connectomes.