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Pattern Detection Framework for MRI Images and Labeling Volume of Interest (VoI)

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Proceedings of the Second International Conference on Computer and Communication Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 381))

Abstract

In the current scenario of Biomedical Research, the Magnetic Resonance Imaging (MRI) images visual analytics processing applications are facing challenges of the use of different techniques under different frameworks supported by different software tools. The establishment of different frameworks under different software tools and migration of data from one framework to another as well as one tool or environment to another poses critical difficulties and large time consumption. To reduce this hassle, the need of common framework is identified and the same is undertaken in this work. To address this issue, a framework MRI Image Pattern Detection Framework (MIPDF) is proposed to take care for the reduction of cited hassle and improved visual analytics to support medical professionals in their act of detection and diagnosis of diseases by identifying regularity and irregularity with improved visualization and analytics results.

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Authors and Affiliations

  1. Shree Ramkrishna Institute of Computer Education & Applied Sciences, Surat, Gujarat, India

    Rupal Snehkunj

  2. S.K. Patel Institute of Management & Computer Studies, Gandhinagar, Gujarat, India

    Richa Mehta & Aashish N. Jani

Authors
  1. Rupal Snehkunj
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  2. Richa Mehta
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  3. Aashish N. Jani
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Corresponding author

Correspondence to Rupal Snehkunj .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India

    Suresh Chandra Satapathy

  2. Department of CSE, CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  3. Computer Science & Engineering, Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  4. Electronics and Communication, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

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© 2016 Springer India

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Snehkunj, R., Mehta, R., Jani, A.N. (2016). Pattern Detection Framework for MRI Images and Labeling Volume of Interest (VoI). In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 381. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2526-3_34

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  • DOI: https://doi.org/10.1007/978-81-322-2526-3_34

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2525-6

  • Online ISBN: 978-81-322-2526-3

  • eBook Packages: EngineeringEngineering (R0)

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