ANAMICA: A Medical Data Visualisation and Characterisation .

  • R. Sundar Advanced Numerical Research and Analysis Group, Hyderabad.
  • N. Venkataramanan Advanced Numerical Research and Analysis Group, Hyderabad.
  • N. Srinivasan Advanced Numerical Research and Analysis Group, Hyderabad.
  • N. Ramesh Advanced Numerical Research and Analysis Group, Hyderabad.
  • G. Athithan Advanced Numerical Research and Analysis Group, Hyderabad.
Keywords: Computer tomography, Magnetic risonance imaging, Image processing, Histograms .

Abstract

This paper reports the design and implementation of ANAMICA, a three-dimensional (3-D) medical data visualisation and characterisation system which provides a complete set of image processing options. Constructions of internal surfaces from total or partial volume of 3-D data and cut-out views are supported by means of 'volume rendering' as well as object space methods. Arbitrary planar and curved sections of 3-D data can be obtained and processed subsequently as standard 2-D images. Volumetrics and a preliminary characterisation of tissues based on histograms are also supported. A window based user-interface provides convenient access to all these options.

Author Biographies

R. Sundar, Advanced Numerical Research and Analysis Group, Hyderabad.
Advanced Numerical Research and Analysis Group, Hyderabad.
N. Venkataramanan, Advanced Numerical Research and Analysis Group, Hyderabad.
Advanced Numerical Research and Analysis Group, Hyderabad.
N. Srinivasan, Advanced Numerical Research and Analysis Group, Hyderabad.
Advanced Numerical Research and Analysis Group, Hyderabad.
N. Ramesh, Advanced Numerical Research and Analysis Group, Hyderabad.
Advanced Numerical Research and Analysis Group, Hyderabad.
G. Athithan, Advanced Numerical Research and Analysis Group, Hyderabad.
Advanced Numerical Research and Analysis Group, Hyderabad.
Published
2013-01-01
How to Cite
SundarR., VenkataramananN., SrinivasanN., RameshN., & AthithanG. (2013). ANAMICA: A Medical Data Visualisation and Characterisation . Defence Science Journal, 43(3), 243-252. https://doi.org/10.14429/dsj.43.4228
Section
Special Issue Papers