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Content Provider | IET Digital Library |
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Author | Hao, Wangli Li, Jianwu |
Abstract | Total variance-(TV) based compressed sensing MRI (CS-MRI) reconstruction methods are effective in restoring a magnetic resonance (MR) image structure from undersampled k-space data. However, the local details of MR images are usually oversmoothed such that block effects are easily caused. Fortunately, the problem can be overcome by the non-local total variation (NLTV), which is highly effective in keeping fine details and sharping image edges. Nevertheless, NLTV is not good at finding similar patches. Considering TV and NLTV are complementary, it is proposed to use them alternatively instead of combining them in one objective function for CS-MRI. In one alternation, the objective function containing the TV and the wavelet regularisations is firstly used to build the structure of the reconstructed MR image through running several iterations of the optimisation method and then the objective function including the NLTV and the wavelet constraints is used to remove the blocking effects and to preserve the image details through running only one iteration of the optimisation method. A number of alternations are run to find the final reconstruction image. Experimental results validate the effectiveness of the method regarding both reconstruction accuracy and computation complexity. |
Starting Page | 1740 |
Ending Page | 1742 |
Page Count | 3 |
ISSN | 00135194 |
Volume Number | 51 |
e-ISSN | 1350911X |
Issue Number | Issue 22, Oct (2015) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/el/51/22 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/el.2015.2551 |
Journal | Electronics Letters |
Publisher Date | 2015-10-15 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Alternating Total Variation Biology And Medical Computing Biomedical Magnetic Resonance Imaging Biomedical MRI Block Effects Compressed Sensing Computation Complexity Computational Complexity Computer Vision And Image Processing Technique Fast Compressed Sensing Magnetic Resonance Imaging Function Theory And Analysis Image And Video Coding Image Edge Image Restoration Image Sampling Integral Transforms in Numerical Analysis Interpolation And Function Approximation Iteration Iterative Method Medical Image Processing Medical Magnetic Resonance Imaging And Spectroscopy Nonlocal Total Variation Numerical Analysis Numerical Approximation And Analysis Optimisation Optimisation Method Optimisation Technique Patient Diagnostic Method And Instrumentation Reconstruction Accuracy Restoring Magnetic Resonance Image Structure Spectroscopy Total Variance-based Compressed Sensing MRI Reconstruction Method Undersampled K-Space Data Wavelet Constraint Wavelet Regularisations Wavelet Transform |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering |
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