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MRI Image Reconstruction Through Contour Interpolation

  • Bijoyeta RoyEmail author
  • Shivank Goel
  • Mousumi Gupta
Conference paper
  • 77 Downloads
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 12)

Abstract

Magnetic Resonance Image reconstruction is a promising guidance strategy for acquiring volumetric information from various cross sections of same medical image data. In the field of medical science, visualization of internal anatomy of organs is very important and crucial for proper treatment of any disease. Medical image reconstruction model can help doctors in better visualization of human body organs thus making it easier and convenient for doctors in accurate diagnosis and in therapeutic process. This paper proposed a contour based interpolation technique that will reconstruct an MRI brain dataset for better visualization of patient’s anatomy in order to open up new avenues for the doctors for better analysis of the disease. Main focus was to reconstruct and visualize 3D volumetric brain images which will be helpful for visualizing, manipulating, and quantitatively analyzing human brain anatomy.

Keywords

Image reconstruction Segmentation 3D view Volume rendering Contour interpolation MRI 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Sikkim Manipal Institute of Technology, SMUMajitarIndia

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