Li Feng1, Ricardo Otazo2, Monvadi
B. Srichai2,3, Ruth P. Lim2, Ding Xia2,
Daniel K. Sodickson2, Daniel Kim2
1Sackler Institute of Graduate
Biomedical Sciences, New York University School of Medicine, New York, NY,
United States; 2Radiology, New York University School of Medicine,
New York, NY, United States; 3Medicine, New York University School
of Medicine, New York, NY, United States
Real-time
cine MRI is a necessary cardiac MRI pulse sequence for patients with reduced
breath-hold capacity and/or arrhythmia. Currently, dynamic parallel imaging
methods, such as TSENSE and TGRAPPA, can be used to achieve an acceleration
rate (R) of 2-3, which typically yields relatively low spatial and temporal
resolution. We propose to use a joint acceleration technique that combines
compressed sensing (CS) and parallel imaging (PI) to exploit joint sparsity
for randomly undersampled multicoil data. This study describes
highly-accelerated (R>4) real-time cine MRI using the joint CS-PI
technology and shows encouraging results using this technology.