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2016 | OriginalPaper | Chapter

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

Authors : Rupal Snehkunj, Richa Mehta, Aashish N. Jani

Published in: Proceedings of the Second International Conference on Computer and Communication Technologies

Publisher: Springer India

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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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Metadata
Title
Pattern Detection Framework for MRI Images and Labeling Volume of Interest (VoI)
Authors
Rupal Snehkunj
Richa Mehta
Aashish N. Jani
Copyright Year
2016
Publisher
Springer India
DOI
https://doi.org/10.1007/978-81-322-2526-3_34