Medical Image Processing

Objectives

Available soon

General characterization

Code

12581

Credits

6.0

Responsible teacher

Available soon

Hours

Weekly - 4

Total - Available soon

Teaching language

Português

Prerequisites

Available soon

Bibliography

  • Biomedical Image Analysis; Ragaraj M. Rangayyan; CRC Press, 2005

  • Digital Imaging Processing; Rafael C. Gonzalez and Richard E. Woods; Prentice-Hall, 2002

  • Digital Imaging Processing using Matlab; Rafael C. Gonzalez, Richard E. Woods and Steven L. Eddins;

    Prentice-Hall – New Jersey, 2004

  • Digital Signal Processing for Medical Imaging using Matlab;

  • Medical Image Analysis; Atam P. Dhawan; John Wiley & Sons, 2011

Teaching method

Available soon

Evaluation method

Available soon

Subject matter

  1. The nature of biomedical images 

    1.1. data structure

    1.2. examples of the most common types of medical images and theur characteristics

  2. Image quality and information content

    2.1. characterization image quality

    2.2. spatial and intensity digitization

    2.3. optical density, dynamic range, contrast and resolution 

    2.4. histograms and entropy

    2.5. Fourier transform and spectral content

  3. Identification and removal of artefacts

  4. Image enhancement, through techniques based on

    4.1. averaging

    4.2. gray-scale transformations (Gamma, histograms...) 

    4.3. convolution and spatial filters

  5. Detection of regions of interest

  6. Image reconstruction from projections

  7. Image coding and data compression

  8. Pattern classification and diagnostic decision