Qiu Wang1, Jun
Liu1, Zhili Yang1, Nicolas Chesneau1,
Michael O. Zenge2, Michaela Schmidt2, Nirmal
Janardhanan1, Edgar Mueller2, Mariappan S. Nadar1
1Imaging
and Computer Vision, Siemens Corporation, Corporate Technology, Princeton,
NJ, United States; 2MR Application & Workflow Development,
Siemens AG, Healthcare Sector, Erlangen, Bavaria, Germany
High temporal resolution is often desired in Cardiac Magnetic Resonance Imaging (CMRI). Compressed sensing has enables the reconstruction with a reduced the number of acquired frequencies, hence accelerating the acquisition. Spatial-temporal regularization has been proven effective for enforcing the smoothness. However, the fine details of the heart such as valve leaflets can be eliminated by strong regularization. In this work, a new approach was proposed for dynamic cardiac MRI reconstruction by setting the motion-dependent L1 regularization. Experiments conducted on CMRI data demonstrate the effectiveness of the proposed approach in preserving fine details of the heart.