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      • Department of Electrical and Electronics Engineering
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      A synthesis-based approach to compressive multi-contrast magnetic resonance imaging

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      Author
      Güngör, A.
      Kopanoğlu, E.
      Çukur, Tolga
      Güven, H. E.
      Date
      2017
      Source Title
      Proceedings of the IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017
      Print ISSN
      1945-7928
      Publisher
      IEEE
      Pages
      696 - 699
      Language
      English
      Type
      Conference Paper
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      Abstract
      In this study, we deal with the problem of image reconstruction from compressive measurements of multi-contrast magnetic resonance imaging (MRI). We propose a synthesis based approach for image reconstruction to better exploit mutual information across contrasts, while retaining individual features of each contrast image. For fast recovery, we propose an augmented Lagrangian based algorithm, using Alternating Direction Method of Multipliers (ADMM). We then compare the proposed algorithm to the state-of-the-art Compressive Sensing-MRI algorithms, and show that the proposed method results in better quality images in shorter computation time.
      Keywords
      ADMM
      Compressive sensing
      Multi-contrast magnetic resonance imaging
      Constrained optimization
      Image processing
      Image reconstruction
      Magnetism
      Medical imaging
      Optimization
      Resonance
      Signal reconstruction
      Alternating direction method of multipliers
      Augmented lagrangians
      Compressive measurements
      Individual features
      Mutual informations
      Synthesis-based approaches
      Magnetic resonance imaging
      Permalink
      http://hdl.handle.net/11693/37622
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/ISBI.2017.7950615
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      • Department of Electrical and Electronics Engineering 3524
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