Accelerating dynamic cardiac imaging based on a dual-dictionary learning algorithm

Zhang, Changjiu, Jin, Zhaoyang, Ye, Haihui and Liu, Feng (2016). Accelerating dynamic cardiac imaging based on a dual-dictionary learning algorithm. In: 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015. 2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015, Shenyang, China, (57-61). 14-16 October 2015. doi:10.1109/BMEI.2015.7401473


Author Zhang, Changjiu
Jin, Zhaoyang
Ye, Haihui
Liu, Feng
Title of paper Accelerating dynamic cardiac imaging based on a dual-dictionary learning algorithm
Conference name 2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015
Conference location Shenyang, China
Conference dates 14-16 October 2015
Convener IEEE
Proceedings title 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015
Journal name 2015 8Th International Conference On Biomedical Engineering and Informatics (Bmei)
Place of Publication Piscataway, NJ, United States
Publisher Institute of Electrical and Electronics Engineers
Publication Year 2016
Year available 2016
Sub-type Fully published paper
DOI 10.1109/BMEI.2015.7401473
Open Access Status Not Open Access
ISBN 9781509000227
Start page 57
End page 61
Total pages 5
Collection year 2017
Language eng
Abstract/Summary Traditional CS with dictionary learning (DL) algorithm can be applied in reconstruction for dynamic cardiac imaging (DCI), which is realized by multi-slice two-dimensional format (2D-DLDCI) or directly three-dimensional format (3D-DLDCI). It was reported that dual-dictionary learning algorithm can improve the reconstruction quality for the 3D magnetic resonance imaging (MRI) by introducing prior information and inter-frame correlation. In this study, dual-dictionary learning algorithm was applied in dynamic cardiac imaging (Dual-DLDCI) by exploring the symmetry of the cardiac cycle. High resolution dictionary was trained from the fully acquired previous frames within a period of relaxation, and low resolution dictionary was trained from the under-sampled frames. The patches for traditional 2D dictionary were replaced by the blocks to utilize the spatial correlation among frames. The high resolution dictionary instead of low resolution dictionary was used in the iterative reconstruction to provide prior information. The simulation and experiment results showed that, the Dual-DLDCI algorithm achieves much better reconstruction quality than the other two algorithms.
Keyword Compressed sensing
Dictionary learning
Dual-dictionary learning
Dynamic cardiac imaging
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

 
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