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CS-MRI Benchmarks and Current Trends

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Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms

Part of the book series: Springer Series on Bio- and Neurosystems ((SSBN,volume 9))

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Abstract

A significant progress has been already accomplished in compressed sensing magnetic resonance image reconstruction research. A few recent works have successfully integrated CS-MRI into the existing MRI scanner for clinical studies and within a short span of time it would be also available at a commercial scale. This chapter mainly aims to throw lights upon creating a set of common goals that practical CS-MRI reconstruction algorithms should project for successful implementation in medical diagnosis, and a few current research trends.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Tezpur University, Tezpur, Assam, India

    Bhabesh Deka & Sumit Datta

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  1. Bhabesh Deka
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  2. Sumit Datta
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Correspondence to Bhabesh Deka .

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Deka, B., Datta, S. (2019). CS-MRI Benchmarks and Current Trends. In: Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms. Springer Series on Bio- and Neurosystems, vol 9. Springer, Singapore. https://doi.org/10.1007/978-981-13-3597-6_5

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  • DOI: https://doi.org/10.1007/978-981-13-3597-6_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3596-9

  • Online ISBN: 978-981-13-3597-6

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