Checking date: 22/01/2018


Course: 2017/2018

Image processing and reconstruction
(15551)
Bachelor in Biomedical Engineering (2010 Study Plan) (Plan: 245 - Estudio: 257)


Coordinating teacher: PASCAU GONZALEZ GARZON, JAVIER

Department assigned to the subject: Bioengineering and Aeroespace Engineering Department

Type: Compulsory
ECTS Credits: 6.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
- Introduction to bioengineering - Systems and signals
The course provides basic knowledge on digital image processing focused on medical image data. After completion of the course the student will understand concepts as sampling, quantization, noise or interpolation in the field of 3D imaging, and specifically for every medical image modality. Students will acquire skills to process digital images in the spatial and frequency domain, and will be able to use some advanced techniques as morphological processing or segmentation.
Description of contents: programme
1. Basic introduction to medical image processing. 2. Elements of Visual Perception. Human Visual System. Light and the Electromagnetic Spectrum. 3. Image Sampling and Quantization. 4. Interpolation and geometrical transformations. 5. Image enhancement I: Spatial Processing 6. Image enhancement II: Filtering and the frequency domain 7. Color. Image file formats. 8. Basic concepts on medical imaging: X rays, CT, Nuclear imaging, MR. 9. Image compression. 10. Image segmentation 11. Morphological processing
Learning activities and methodology
Teaching methodology will be mainly based on lectures, seminars and practical sessions. Students are required to read assigned documentation before lectures and seminars. Lectures will be used by the teachers to stress and clarify some difficult or interesting points from the corresponding lesson, previously prepared by the student. Seminars will be mainly dedicated to interactive discussion with the students, present and evaluate homework. Grading will be based on continuous evaluation (including short-exams, homework, group essays, practical sessions, and student participation in class and Aula Global) and a final exam covering the whole subject. Help sessions and tutorial classes will be held prior to the final exam. Attendance to lectures, short-exams or submission of possible homework is not compulsory. However, failure to attend any exam or submit the exercises before the deadline will result in a grade of 0 in the corresponding exercise and will influence the final continuous evaluation score. The practical sessions may consist on laboratory work or visits to research or clinical centers. A laboratory report will be required for each of them. Homework exercises will also be a very important contribution, since they will imply solving a specific problem, proposing an algorithm and implement it using computer tools. The attendance to 80% of practical sessions is mandatory. Failure to hand in the laboratory reports on time or unjustified lack of attendance will result in 0 marking for that practice session.
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40

Basic Bibliography
  • G. Dougherty. Digital Image Processing for Medical Applications. Cambridge University Press. 2009
  • R. C. Gonzalez, R. E. Woods. Digital Image Processing. Pearson Education. 2008
Additional Bibliography
  • H.C. Russ. The Image Processing Handbook. CRC Press Inc. 2011
  • P. Suetens. Fundamentals of Medical Imaging. Cambridge University Press. 2009

The course syllabus may change due academic events or other reasons.