K-T ISD: Compressed sensing with iterative support detection for dynamic MRI
In this paper, we propose a new k−t Iterative Support Detection (k−t ISD) method to improve the CS reconstruction for dynamic cardiac MRI by incorporating additional information on the support of the dynamic image in x−f space. The proposed method uses an iterative procedure for alternating image reconstruction and support detection in x−f space. Experimental results demonstrate that the proposed k−t ISD method improves the reconstruction quality of dynamic cardiac MRI over the basic CS method in which support information is not exploited.