A Synchronized Compressed Sensing Scan-Reconstruction Scheme in Magnetic Resonance Imaging

doi:10.11938/cjmr20160208

Abstract

Abstract:

Under-sampled k-space data can be used to reconstruct high-quality images with compressed sensing (CS) algorithms, greatly improving the imaging speed. However, the traditional CS reconstruction is time-consuming, and this drawback constitutes a major obstacle to the routine clinical applications of CS-MRI. To reduce the total reconstruction time, we proposed here a synchronized CS scan-reconstruction scheme. In the scheme, reconstruction is carried out while the scan is still in process, such that the reconstructed images can be displayed in real-time, and the operator can terminate the scan as he/she wishes when the quality of the images acquired so far is deemed sufficient for his/her needs. The classic variable density random sampling strategy used for traditional CS reconstruction needs to be modified, since in this scheme the final sampling pattern remains unknown before the termination of the scan. In this paper, we developed an under-sampling strategy to meet the requirements of synchronized CS scan-reconstruction, in which different probability density functions (PDFs) are used for random sampling at different phases. Experimental results demonstrated that, compared to the single-PDF approach, a two-phase sampling strategy provided better reconstruction quality in the whole scan-reconstruction process.

Key words: compressed sensing(CS), magnetic resonance imaging(MRI), synchronized scan-reconstruction, sampling scheme

CLC Number:

O482.53

GAO Mang, XIE Hai-bin, LI Zhi-min, ZHANG Cheng-xiu, XI Wei, JIANG Xiao-ping, YANG Guang. A Synchronized Compressed Sensing Scan-Reconstruction Scheme in Magnetic Resonance Imaging[J]. Chinese Journal of Magnetic Resonance, 2016, 33(2): 257-268.

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