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Fast Algorithms for Compressed Sensing MRI Reconstruction

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

Abstract

Extensive research work is being carried out in the area of fast convex optimization-based compressed sensing magnetic resonance (MR) image reconstruction algorithms. The main focus here is to achieve throughputs of clinical compressed sensing MR image reconstruction in terms of quality of reconstruction and computational time. In this chapter, we briefly review some of the recently developed convex optimization-based algorithms for compressed sensing MR image reconstruction. All these algorithms may be classified broadly into four categories based on their approaches of solving the reconstruction/recovery problem. We then detail algorithms of each category with sufficient mathematical details and report their relative advantages and disadvantages.

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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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