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  3. Compressed Sensing for Magnetic Resonance Image Reconstruction
  • Cited by 13
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    • Publisher:
      Cambridge University Press
      Publication date:
      June 2016
      February 2015
      ISBN:
      9781316217795
      DOI:
      https://doi.org/10.1017/CBO9781316217795
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      • Subjects:
      Communications and Signal Processing, Engineering, Computer Science, Computer Graphics, Image Processing and Robotics
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    Subjects:
    Communications and Signal Processing, Engineering, Computer Science, Computer Graphics, Image Processing and Robotics
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    Book description

    Expecting the reader to have some basic training in liner algebra and optimization, the book begins with a general discussion on CS techniques and algorithms. It moves on to discussing single channel static MRI, the most common modality in clinical studies. It then takes up multi-channel MRI and the interesting challenges consequently thrown up in signal reconstruction. Off-line and on-line techniques in dynamic MRI reconstruction are visited. Towards the end the book broadens the subject by discussing how CS is being applied to other areas of biomedical signal processing like X-ray, CT and EEG acquisition. The emphasis throughout is on qualitative understanding of the subject rather than on quantitative aspects of mathematical forms. The book is intended for MRI engineers interested in the brass tacks of image formation; medical physicists interested in advanced techniques in image reconstruction; and mathematicians or signal processing engineers.

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