- Course
- 2022-2023
- Semester
- 1
- ECTS
- 6
- Type
- Compulsory
- University
- USC and UDC
Subject objectives
General objectives: To introduce the student to the basic aspects of computer applications related to medical imaging.
Learning outcomes: Each student will demonstrate his or her ability to
– Understand the basic concepts related to the different biomedical imaging modalities and the physical factors that influence their properties.
– Know the statistical techniques currently used for the validation of biomedical applications.
– Apply different processing and analysis techniques in biomedical imaging applications.
– To learn about image recording techniques and their applications in biomedical imaging.
Contents
– Basic concepts of biomedical imaging.
– Biomedical imaging modalities.
– Validation techniques in biomedical applications.
– Biomedical image processing and analysis.
– Registration of biomedical images.
– Biomedical imaging applications.
Basic and complementary bibliography
Basic Bibliography
– Bushberg JT, Seibert JA, Leidholdt EM, Boone JM: “The Essential Physics of Medical Imaging”. Lippincott Williams & Wilkins. 2002.
Complementary Bibliography
– Fish P: “Physics and Instrumentation of Diagnostic Medical Ultrasound”. John Wiley & Sons. 1999.
– Sprawls Perry: «Magnetic Resonance Imaging. Principles, Methods and Techniques». Medical Physics Publishing. 2000.
Competencies
Specific skills:
CE1 – To know and apply the concepts, methodologies and technologies of image processing
CE3 – To know and apply the concepts, methodologies and technologies of image and video analysis
CE7 – Understanding and applying the fundamentals of medical image acquisition, processing and analysis
Basic / General skills:
CB7 – Students are able to apply their acquired knowledge and problem-solving skills in new or unfamiliar environments within broader (or multi-disciplinary) contexts related to their area of study
CB8 – Students are able to integrate knowledge and deal with the complexity of making judgements based on information that is incomplete or limited, including reflections on the social and ethical responsibilities associated with applying their knowledge and judgements
CB10 – Students possess the learning skills to enable them to continue studying in a largely self-directed or autonomous manner
CG3 – Ability to develop computer vision systems depending on existing needs and apply the most appropriate technological tools
CG4 – Capacity for critical analysis and rigorous evaluation of technologies and methodology
CG7 – Autonomous learning ability for specialization in one or more fields of study
Transversal / Nuclear skills:
CT4 – Ability to understand the meaning and application of the gender perspective in different areas of knowledge and professional practice with the aim of achieving a more just and equal society
Teaching methodology
The teaching methodology will be based on the individual work of each student, on discussions with the teaching staff in class and on individual tutorials. It will be supported by all the information provided by the teaching staff through the virtual course of the subject (Moodle da Campus Virtual).
For each subject, the teaching staff will prepare the contents, explain the objectives of the subject in class, and suggest bibliography on which to rely.
The practices will be done in a computer room enabled for this purpose in the corresponding center.
Tutorials may be face-to-face or telematic. If they are telematic, they will require an appointment. This is also recommended for face-to-face tutorials.
Evaluation system
Sistema de evaluación
The evaluation of the course will consist of a part dedicated to theory and another part dedicated to practice. The theory part (20%) will be evaluated in a final exam. The practical part (80%) will be evaluated continuously in the interactive classes and tutored work. In order to pass the course it is essential to obtain 5 points out of 10 in the final mark of the course.
The grade obtained during the continuous evaluation process will be kept for the July special session of the same academic year in which it was obtained.
The grade will be NO SHOW for students who do not take the final exam, and have not attended any of the continuous assessment activities, and SUSPENSE when they do not take the final exam, but have attended some of the continuous assessment activities.
Studying time and personal work
The course consists of 3 hours per week. In addition, each student will have to work individually for at least another 3 hours/week. In total this would be 6 hours/week x 12 weeks= 72 hours.
Subject study recommendations
It is recommended that students carry out individually the design, implementation and verification of all the proposed exercises.
Observations
For the practical part of the course, it is advisable to have your own computer.