Chinese Journal of Magnetic Resonance

Previous Articles     Next Articles

Selective Dual-Direction Sequential Compressed Sensing for Dynamic MR Imaging

GAO Ming-sheng, XIE Hai-bin,YAN Xu, ZHOU Min-xiong, LI Zhi-min, YANG Guang*   

  1. Shanghai Key Laboratory of Magnetic Resonance,  Department  of Physics, East China Normal University, Shanghai 200062, China
  • Received:2012-09-28 Revised:2012-11-23 Online:2013-06-05 Published:2013-06-05
  • About author:*Corresponding author: Yang Guang,Tel: 021-62233873,E-mail: gyang@phy.ecnu.edu.cn.
  • Supported by:

    上海市科委资助项目(08DZ1900700).

Abstract:

Compressed sensing (CS) is a new technique for reconstructing image from undersampled k-space data. In dynamic imaging, data sparsity can be introduced by applying Fourier transformation along the temporal dimension or calculating difference images with respect to a reference frame. In this work, a selective dualdirection sequential CS method was proposed to achieve greater data sparsity in dynamic MR imaging, by calculating difference images  between adjacent frames. Both time sequential or inversed time sequential reconstruction were used for better reconstruction results, while the total computation time remained the same. Experimental results demonstrated that the proposed algorithm showed improved quality relative to the traditional compressed sensing algorithm, differencing algorithm and keyhole imaging technology.

Key words: compressed sensing, dynamic MRI, image reconstruction, cardiac MRI

CLC Number: