Digital Image Processing

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Analysis and Visualization of Medical Image Processing


Affiliations
1 Dept. of Computer Applications and Software Systems at Sri Krishna College of Arts and Science, Coimbatore, India
2 Dept. of Computer Applications and Software Systems at Sri Krishna Arts and Science College, Coimbatore, India
     

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Medical imaging systems have advanced in a dynamic progress. There have been substantial improvements in characteristics such as sensitivity, resolution, and acquisition speed. The interactive tools allowed us to perform image transformations, edge detection and noise removal, region-of-interest processing, filtering, basic statistics, curve fitting, FFT, DCT and Random Transform. Making graphics objects semitransparent is a useful technique in 3-D visualization which furnishes more information about spatial relationships of different structures. The toolbox functions implemented in the open MATLAB language has also been used to develop the customized algorithms.

Keywords

CT, DCT, DICOM, FFT, Imread, Imcontour, MRI, NEMA, PET, SPECT.
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  • Analysis and Visualization of Medical Image Processing

Abstract Views: 262  |  PDF Views: 3

Authors

C. Sunitha
Dept. of Computer Applications and Software Systems at Sri Krishna College of Arts and Science, Coimbatore, India
S. Sathya
Dept. of Computer Applications and Software Systems at Sri Krishna Arts and Science College, Coimbatore, India

Abstract


Medical imaging systems have advanced in a dynamic progress. There have been substantial improvements in characteristics such as sensitivity, resolution, and acquisition speed. The interactive tools allowed us to perform image transformations, edge detection and noise removal, region-of-interest processing, filtering, basic statistics, curve fitting, FFT, DCT and Random Transform. Making graphics objects semitransparent is a useful technique in 3-D visualization which furnishes more information about spatial relationships of different structures. The toolbox functions implemented in the open MATLAB language has also been used to develop the customized algorithms.

Keywords


CT, DCT, DICOM, FFT, Imread, Imcontour, MRI, NEMA, PET, SPECT.