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Visual Quality Improvement of CT Image Reconstruction with Quantitative Measures

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Computational Methods in Molecular Imaging Technologies

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSFOMEBI))

Abstract

In this existing methodology, the method proposed by Zhang et al. for estimating the field B 1 distortion and simultaneously segmenting an MRI image provides implementation details on how it has been adapted to work with MRI images.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Annamacharya Institute of Technology & Sciences, Rajampet, Andhra Pradesh, India

    Vinit Kumar Gunjan

  2. Department of Electronics and Communication Engineering, Annamacharya Institute of Technology & Sciences, Rajampet, Andhra Pradesh, India

    Fahimuddin Shaik & C. Venkatesh

  3. Hewlett Packard Globalsoft Pvt. Ltd., Melbourne, Australia

    M. Amarnath

Authors
  1. Vinit Kumar Gunjan
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  2. Fahimuddin Shaik
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  3. C. Venkatesh
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  4. M. Amarnath
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Correspondence to Vinit Kumar Gunjan .

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Gunjan, V.K., Shaik, F., Venkatesh, C., Amarnath, M. (2017). Visual Quality Improvement of CT Image Reconstruction with Quantitative Measures. In: Computational Methods in Molecular Imaging Technologies. SpringerBriefs in Applied Sciences and Technology(). Springer, Singapore. https://doi.org/10.1007/978-981-10-4636-0_4

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  • DOI: https://doi.org/10.1007/978-981-10-4636-0_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4635-3

  • Online ISBN: 978-981-10-4636-0

  • eBook Packages: EngineeringEngineering (R0)

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