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CS-MRI Reconstruction Problem

  • Bhabesh DekaEmail author
  • Sumit Datta
Chapter
Part of the Springer Series on Bio- and Neurosystems book series (SSBN, volume 9)

Abstract

Compressed sensing MRI (CS-MRI) seeks good quality MR image reconstruction from relatively less number of measurements than the traditional Nyquist sampling theorem. This in return increases the computational effort for reconstruction which may be dealt with some efficient solvers based on convex optimization. To reconstruct MR image from undersampled Fourier data, an underdetermined system of equations is needed to be solved with some additional information as regularization priors, like, compressibility of MR images in the spatial as well as wavelet domains.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringTezpur UniversityTezpurIndia

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