This research aims to evaluate the effects of deep learning reconstruction on liver diffusion-weighted imaging (DWI) image quality and apparent diffusion coefficient (ADC) quantification.
Conducted a randomized trial comparing deep learning reconstruction versus standard methods.
Assessed image quality metrics and ADC values in liver imaging.
Involved radiological technologists for standardized MRI examinations.
Deep learning reconstruction showed a significant improvement in image quality compared to standard reconstruction (p<0.05).
ADC quantification was significantly more accurate with deep learning reconstruction, enhancing diagnostic precision.
Results indicate superior performance, particularly in challenging imaging scenarios.
Abstract
radiological technologists, for their technical assistance with the MRI examinations.We would