Faculdade de Ciências e Tecnologia

Medical Imaging Methods

Code

5284

Academic unit

Faculdade de Ciências e Tecnologia

Department

Departamento de Física

Credits

6.0

Teacher in charge

Pedro Manuel Cardoso Vieira

Weekly hours

4

Total hours

70

Teaching language

Português

Objectives

Mastery of the basic principle of operation of the following medical imaging techniques: X-ray, Computed Axial Tomography (CAT); Scintigraphy; tomography single photon emission tomography (SPECT), positron emission tomography (PET).
Application of the basic image processing techniques and image reconstruction by Radon transform. These techniques will be developed by using MatLab.

Subject matter

Digital image and image processing

X ray image, Computadorized tomography (CT) and the filtered back projection algorithms

Nuclear imaging: Single photon emission tomography (SPECT) and positron emission tomography (PET)

Bibliography

  • 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
  • Medical Imaging Signals and Systems; Jerry L. Prince , Jonathan Links ; Prentice Hall - 2005)
  • An Introduction to the Principles of Medical Imaging; Chris Guy and Dominic Ffytche; Imperial College Press – London, 2000
  • Medical Physics: Imaging; Jean Pope; Heinmann Educational Publishers – Oxford, 1999
  • Medical Physics and Biomedical Engineering; BH Brown, RH Smallwood; DC Barber, PV Lawford and SD Hose; Institute of Physics Publishing– Bristol, 1999
  • Introduction  to Biomedical Engineering; John Enderle, Susan Blanchard and Joseph Bronzino; Academic Press – SanDiego, 2000

Teaching method

In the lectures is presented the concepts, of the various topics that are part of the program of this course. For each topic, wherever possible, is given concrete examples of the field of Biomedical and Medical.

In practical classes students have as its aim, the development of Matlab computer applications for image processing. For that it is available set of guidelines with objectives to be achieved. These guidelines are organized so that its complexity is increasing throughout the semester. Although the techniques of image processing applied are of general application, the working images are always medical images, obtained by different techniques.

Evaluation method

The final grade obtained  with the following weighting:

40% from Practical classes. Frequency is only obtained with a rating higher than 9.5

60% Coninuous evaluation or appeal exam.

For more details of the evaluation methodology, please consult the specific document in the supporting documentation area.

 
 
 
 

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