Motion-Dependent L1 Minimization for Dynamic Cardiac MRI Reconstruction

Qiu Wang¹, Jun Liu¹, Zhili Yang¹, Nicolas Chesneau¹, Michael O. Zenge², Michaela Schmidt², Nirmal Janardhanan¹, Edgar Mueller², Mariappan S. Nadar¹

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.