NDLI: Online dynamic magnetic resonance imaging based on an improved motion prediction scheme

Content Provider	IEEE Xplore Digital Library
Author	Jinsong Zhang Zhaoyang Jin Haihui Ye Feng Liu
Copyright Year	2014
Description	Author affiliation: Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD, Australia (Feng Liu) \|\| Inst. of Inf. & Control, Hangzhou Dianzi Univ., Hangzhou, China (Jinsong Zhang; Zhaoyang Jin) \|\| Dept. of Fetal Monitoring, Zhejiang Univ., Hangzhou, China (Haihui Ye)
Abstract	Motion prediction algorithms are often used in dynamic magnetic resonance imaging to improve the compressed sensing based reconstruction. Previously, the difference calculation (DC) between the current frame (to be reconstructed) and the estimated frame was used as sparse residual signals. In order to obtain sparser signal, an improved Motion Estimation (ME) and Motion Compensation (MC) method was proposed to predict the current frame from previous reconstructed frames with an extrapolation procedure. An overlapped block motion compensation algorithm was used to suppress the block artifacts. The sparse residual signal was used to reconstruct the current frame using an iterative soft thresholding algorithm. The experiment results show that, the ME/MC prediction can improve the quality of reconstructed frames at slight additional computational cost. For the case that ME/MC combined with previous DC method, a high quality image reconstruction can be achieved with relatively small time consumption.
Starting Page	71
Ending Page	75
File Size	344113
Page Count	5
File Format	PDF
e-ISBN	9781479958382
DOI	10.1109/BMEI.2014.7002745
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	compressed sensing Magnetic resonance imaging Heuristic algorithms Dynamics motion estimation Prediction algorithms online Vectors Motion compensation Image reconstruction motion compensation dynamic MRI
Content Type	Text
Resource Type	Article

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