MRI Reconstruction with Separate Magnitude and Phase Priors Based on Dual-Tree Complex Wavelet Transform
The methods of compressed sensing magnetic resonance imaging (CS-MRI) can be divided into two categories roughly based on the number of target variables. One group devotes to estimating the complex-valued MRI image. And the other calculates the magnitude and phase parts of the complex-valued MRI ima...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2022/7251674 |
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| author | Wei He Linman Zhao |
| author_facet | Wei He Linman Zhao |
| author_sort | Wei He |
| collection | DOAJ |
| description | The methods of compressed sensing magnetic resonance imaging (CS-MRI) can be divided into two categories roughly based on the number of target variables. One group devotes to estimating the complex-valued MRI image. And the other calculates the magnitude and phase parts of the complex-valued MRI image, respectively, by enforcing separate penalties on them. We propose a new CS-based method based on dual-tree complex wavelet (DT CWT) sparsity, which is under the frame of the second class of CS-MRI. Owing to the separate regularization frame, this method reduces the impact of the phase jumps (that means the jumps or discontinuities of phase values) on magnitude reconstruction. Moreover, by virtue of the excellent features of DT CWT, such as nonoscillating envelope of coefficients and multidirectional selectivity, the proposed method is capable of capturing more details in the magnitude and phase images. The experimental results show that the proposed method recovers the image contour and edges information well and can eliminate the artifacts in magnitude results caused by phase jumps. |
| format | Article |
| id | doaj-art-676bc428fcb54d4fa914ad3d3b6ffc5b |
| institution | Kabale University |
| issn | 1687-4196 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-676bc428fcb54d4fa914ad3d3b6ffc5b2025-02-03T01:22:58ZengWileyInternational Journal of Biomedical Imaging1687-41962022-01-01202210.1155/2022/7251674MRI Reconstruction with Separate Magnitude and Phase Priors Based on Dual-Tree Complex Wavelet TransformWei He0Linman Zhao1Department of Computer Science and TechnologyDepartment of Computer Science and TechnologyThe methods of compressed sensing magnetic resonance imaging (CS-MRI) can be divided into two categories roughly based on the number of target variables. One group devotes to estimating the complex-valued MRI image. And the other calculates the magnitude and phase parts of the complex-valued MRI image, respectively, by enforcing separate penalties on them. We propose a new CS-based method based on dual-tree complex wavelet (DT CWT) sparsity, which is under the frame of the second class of CS-MRI. Owing to the separate regularization frame, this method reduces the impact of the phase jumps (that means the jumps or discontinuities of phase values) on magnitude reconstruction. Moreover, by virtue of the excellent features of DT CWT, such as nonoscillating envelope of coefficients and multidirectional selectivity, the proposed method is capable of capturing more details in the magnitude and phase images. The experimental results show that the proposed method recovers the image contour and edges information well and can eliminate the artifacts in magnitude results caused by phase jumps.http://dx.doi.org/10.1155/2022/7251674 |
| spellingShingle | Wei He Linman Zhao MRI Reconstruction with Separate Magnitude and Phase Priors Based on Dual-Tree Complex Wavelet Transform International Journal of Biomedical Imaging |
| title | MRI Reconstruction with Separate Magnitude and Phase Priors Based on Dual-Tree Complex Wavelet Transform |
| title_full | MRI Reconstruction with Separate Magnitude and Phase Priors Based on Dual-Tree Complex Wavelet Transform |
| title_fullStr | MRI Reconstruction with Separate Magnitude and Phase Priors Based on Dual-Tree Complex Wavelet Transform |
| title_full_unstemmed | MRI Reconstruction with Separate Magnitude and Phase Priors Based on Dual-Tree Complex Wavelet Transform |
| title_short | MRI Reconstruction with Separate Magnitude and Phase Priors Based on Dual-Tree Complex Wavelet Transform |
| title_sort | mri reconstruction with separate magnitude and phase priors based on dual tree complex wavelet transform |
| url | http://dx.doi.org/10.1155/2022/7251674 |
| work_keys_str_mv | AT weihe mrireconstructionwithseparatemagnitudeandphasepriorsbasedondualtreecomplexwavelettransform AT linmanzhao mrireconstructionwithseparatemagnitudeandphasepriorsbasedondualtreecomplexwavelettransform |