PS Model-Based Dynamic Cardiac MRI with Compressed Sensing

  • Xiaoyong Zhang
  • Guoxi Xie
  • Xiang Feng
  • Xin Liu
  • Bensheng Qiu
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 42)

Abstract

Real-time cardiac MRI is a challenging topic in MRI field. The partial separability (PS) model has been successfully applied to cardiac MR imaging. However, it is necessary to acquire lots of pre-scanned data to accurately estimate the model parameters before image reconstruction. In order to accelerate the speed of the pre-scanned data acquisition, a new method applying compressive sensing (CS) to the PS model is proposed in this paper, in which the lowrank and sparsity properties of dynamic images were used as priori information for MRI reconstruction. The experiment results show that the proposed method can achieve high resolution dynamic MR imaging and overcome the shortcoming of the conventional PS model.

Keywords

PS model Cardiac MRI simulation Compressed Sensing sparsity 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Xiaoyong Zhang
    • 1
  • Guoxi Xie
    • 2
  • Xiang Feng
    • 2
  • Xin Liu
    • 2
  • Bensheng Qiu
    • 1
  1. 1.Centers for Biomedical EngineeringUniversity of Science and Technology of ChinaHefeiP.R. China
  2. 2.Key Lab for MRI, Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhenChina

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