RAF714 - BIOMEDICAL IMAGE PROCESSING

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
BIOMEDICAL IMAGE PROCESSING RAF714 3rd Semester 2 1 3 8
Prequisites
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Question and Answer
Preparing and/or Presenting Reports
Drill and Practice
 
Instructor (s)Assoc. Prof. Mete YeÄŸiner 
Course objectiveTo give theoretical information about the medical imaging techniques, i.e. radiographic imaging, PET/CT, MRI and etc. 
Learning outcomes
  1. At the end of this course, students will a. Investigate radiation tissue interaction and
  2. b. Learn its usage in image construction, signal processing and imaging applications.
Course ContentPhysical basis of imaging; radiographic image; X-ray production and photon-matter interaction; CT; PET/SPECT; NMR 
ReferencesShung, K. Kirk, Smith, Michael B., Tsui, Benjamin, Principles of Medical Imaging, Academic Press, Inc., London,1992.
Kak, Avinash C. and Slaney, M., Principles of Computerized Tomographic Imaging, Academic, SIAM IEEE press, 2001.
Hendee, William R., Medical Imaging Physics, Fourth Edition, Wiley, 2002.
Macovski, Albert, Medical Imaging Systems, Prentice Hall, 1983. 

Course outline weekly

WeeksTopics
Week 1Introduction to Imaging; medical imaging
Week 2Fundamentals of signal processing
Week 3Radiation-based imaging; X-ray interaction
Week 4X-ray production and imaging
Week 5Introduction to CT
Week 6Image reconstruction and Radon transform
Week 7Fourier transform and image reconstruction methods
Week 8Midterm
Week 9Introduction to nuclear imaging
Week 10Nuclear emission computed tomography
Week 11Gamma Camera
Week 12SPECT/PET
Week 13MRI
Week 14MRI image processing
Week 15Preparation for the Final Exam
Week 16Final Exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application1420
Field activities00
Specific practical training00
Assignments110
Presentation00
Project00
Seminar00
Midterms120
Final exam150
Total100
Percentage of semester activities contributing grade succes1650
Percentage of final exam contributing grade succes150
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 2 28
Laboratory 0 0 0
Application14114
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14342
Presentation / Seminar Preparation23060
Project000
Homework assignment000
Midterms (Study duration)14040
Final Exam (Study duration) 15050
Total Workload46126234

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Have comprehensive knowledge on radiotherapy machines and their properties to perform the calibration and QA.X    
2. Comprehend treatment planning and applications of radiotherapy to make a decision individually.X    
3. Know the weight of ethics in clinics and their research studies along with having advanced knowledge on clinical and basic oncology.X    
4. Follow the advances in radiotherapy physics systematically and adapt them into their research in an original form. X   
5. Prepare complex treatment plans in accuracy and precision.X    
6. Prepare scientific reports and articles by organizing their research. X   
7. Use informatics technology both in clinics and research at an advanced level.   X 
8. Find alternative solutions by critical approach to the subjects in radiotherapy.X    
9. Publish their PhD studies and thus scientifically contribute to their field. X   
10. Develop good communication with physicians and other medical staff and handle the problems together to find original solutions.X    
11. Work independently as well as in a team in clinics and research studies.X    
12. Follow the advances in radiotherapy and develop written and verbal communication with colleagues. X   
13. Have experience in interdisciplinary studies and use their knowledge and skills effectively in these studies.  X  

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest