Dong Liang

This work proposes ESPIRiT-Diffusion, a physics-guided score-based diffusion reconstruction framework that incorporates multi-set ESPIRiT coil sensitivity map-based data-consistency constraints into the Langevin equation for 8.8- and 10.7-fold accelerated joint intracranial and carotid vessel wall imaging (VWI) at 0.6 mm³ isotropic resolution; in retrospective experiments with Cartesian, CAIPI, and variable-density undersampling it showed improved reconstruction performance compared with ESPIRiT, DL-ESPIRiT, SENSE-Diffusion, and SPIRiT-Diffusion with better preservation of fine vessel wall structures, and in prospective patient experiments it provided favorable visualization of vessel wall lesions with no statistically significant differences in reader scores from the 3-fold CS reference a

This work proposes ESPIRiT-Diffusion, a physics-guided score-based diffusion reconstruction framework that incorporates multi-set ESPIRiT coil sensitivity map-based data-consistency constraints into the Langevin equation for 8.8- and 10.7-fold accelerated joint intracranial and carotid vessel wall imaging (VWI) at 0.6 mm³ isotropic resolution; in retrospective experiments with Cartesian, CAIPI, and variable-density undersampling it showed improved reconstruction performance compared with ESPIRiT, DL-ESPIRiT, SENSE-Diffusion, and SPIRiT-Diffusion with better preservation of fine vessel wall structures, and in prospective patient experiments it provided favorable visualization of vessel wall lesions with no statistically significant differences in reader scores from the 3-fold CS reference a