Shreyas S. Vasanawala1
1Stanford University, Stanford, CA, United States
Compressed sensing potentially offers faster and higher resolution MRI. The most promising applications of compressed sensing are those that are currently difficult due to long scan times (imaging moving structures or intravenous contrast, acquiring high dimensional datasets). While compressed sensing MRI has had rapid technical development, and some studies have been performed on phantoms, animals and volunteers, deployment in the clinic to date has been more limited. The current barriers to clinical use include long image reconstruction times and paucity of clinical validation studies.