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), Ultrasound Imaging.
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)
Ultrasound imaging
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.