Regularization in parallel magnetic resonance imaging |
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| Authors: | Amel Korti |
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| Affiliation: | Laboratory of Biomedical Engineering, Department of Biomedical Engineering, Faculty of Technology, University Abou Bekr Belkaid, Tlemcen, Algeria |
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| Abstract: | SPIRiT (iterative self‐consistent parallel imaging reconstruction) can be solved efficiently for data acquired on arbitrary k‐space trajectories, and its sparsity regularized variant L1‐SPIRiT accelerates reconstruction. In this paper, we propose a regularized SPIRiT reconstruction based on steerable pyramid decomposition. The directionally filter banks lead to a better separation of signal and noise compared to a discrete wavelet transform (DWT). In vivo datasets and eight‐channel Shepp‐Logan phantom studies demonstrate efficient reconstructions. We compared our work with five state‐of‐the‐art parallel imaging techniques; our method yields better reconstruction results. |
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| Keywords: | compressed sensing parallel MRI regularization steerable pyramid |
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