High Resolution Metabolic MRI using Learned Models

MRI provides several contrast mechanisms to examine the metabolism and tissue microstructure. There are certain challenges in MRI: the low signal to noise ratio of these imaging schemes, the long scan time, and the vulnerability to several artifacts. CBIG introduces novel pulse sequences and image reconstruction algorithms to mitigate the aforementioned problems. The learned models are observed to be highly effective in suppressing the artifacts while significantly enhancing spatial resolution and quality.