DLMRI-Lab

DLMRI-Lab: Dictionary Learning MRI Software. DLMRI is a formulation and an algorithm that adaptively learn a dictionary from undersampled k-space measurements and simultaneously reconstruct the MR image (this is an instance of so-called “blind compressed sensing”), as described in the following “DLMRI Paper”: [1] S. Ravishankar and Y. Bresler, “MR image reconstruction from highly undersampled k-space data by dictionary learning,” IEEE Trans. Med. Imag., vol. 30, no. 5, pp. 1028–1041, 2011.


References in zbMATH (referenced in 12 articles )

Showing results 1 to 12 of 12.
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  1. Soltani, Sara; Andersen, Martin S.; Hansen, Per Christian: Tomographic image reconstruction using training images (2017)
  2. Wen, Bihan; Ravishankar, Saiprasad; Bresler, Yoram: FRIST-flipping and rotation invariant sparsifying transform learning and applications (2017)
  3. Boyer, Claire; Chauffert, Nicolas; Ciuciu, Philippe; Kahn, Jonas; Weiss, Pierre: On the generation of sampling schemes for magnetic resonance imaging (2016)
  4. Ehrhardt, Matthias J.; Betcke, Marta M.: Multicontrast MRI reconstruction with structure-guided total variation (2016)
  5. Eksioglu, Ender M.: Decoupled algorithm for MRI reconstruction using nonlocal block matching model: BM3D-MRI (2016)
  6. Giryes, Raja: Sampling in the analysis transform domain (2016)
  7. Han, Yu; Du, Huiqian; Lam, Fan; Mei, Wenbo; Fang, Liping: Image reconstruction using analysis model prior (2016)
  8. Li, Yan-Ran; Chan, Raymond H.; Shen, Lixin; Hsu, Yung-Chin; Tseng, Wen-Yih Isaac: An adaptive directional Haar framelet-based reconstruction algorithm for parallel magnetic resonance imaging (2016)
  9. Bi, Dongjie; Xie, Yongle; Zheng, Yahong Rosa: Synthetic aperture radar imaging using basis selection compressed sensing (2015) ioport
  10. Liu, Jianbo; Wang, Shanshan; Peng, Xi; Liang, Dong: Undersampled MR image reconstruction with data-driven tight frame (2015)
  11. Ravishankar, Saiprasad; Bresler, Yoram: Efficient blind compressed sensing using sparsifying transforms with convergence guarantees and application to magnetic resonance imaging (2015)
  12. Wang, Bigong; Li, Liang: Recent development of dual-dictionary learning approach in medical image analysis and reconstruction (2015)