INTERNATIONAL BURCH UNIVERSITY
Graduate Study - Faculty of Engineering and Natural Sciences
Electrical and Electronic Engineering PhD
2013-2014

SYLLABUS
Code Name Level Year Semester
EEE 604 Special Topics in Biomedical Image Processing Graduate 1 Spring
Status Number of ECTS Credits Class Hours Per Week Total Hours Per Semester Language
7.5 47

Instructor Assistant Coordinator
Elmedin Selmanović, Assist. Prof. Dr. Abdülhamit Subaşı, Prof. Dr.
[email protected] no email

COURSE OBJECTIVE
This course presents the fundamentals of digital signal processing with particular emphasis on problems in biomedical research and clinical medicine. It covers principles and algorithms for processing both deterministic and random signals. Topics include data acquisition, imaging, filtering, coding, feature extraction, and modeling.

COURSE CONTENT
Week
Topic
  1. Introduction to Digital Image Processing (DIP)
  2. Digital Image Fundamentals
  3. Intensity Transformations and Spatial Filtering I
  4. Intensity Transformations and Spatial Filtering II
  5. Intensity Transformations and Spatial Filtering III
  6. Filtering in Frequency Domain I
  7. Filtering in Frequency Domain II
  8. MIDTERM EXAM
  9. Filtering in Frequency Domain III
  10. Biomedical Signals and Images I
  11. Biomedical Signals and Images II
  12. Biomedical Signals and Images III
  13. Project Consultations
  14. Project Consultations

LABORATORY/PRACTICE PLAN
Week
Topic

    TEACHING/ASSESSMENT
    Description
    • Lectures
    • Project
    • Assignments
    Description (%)
    Method Quantity Percentage (%)
    Homework530
    Project150
    Midterm Exam(s)120
    Total: 100
    Learning outcomes
    • Process images using techniques of smoothing, sharpening, histogram processing, and filtering
    • Explain sampling and quantization processes in obtaining digital images from continuously sensed data
    • Enhance digital images using filtering techniques in the spatial and frequency domain
    • Understand relevant medical image modalities
    • Explore state-of-the-art medical imaging techniques
    TEXTBOOK(S)
    • R. C. Gonzalez and R. E. Woods, “Digital Image Processing”, 3rd Ed., 2008
    • Geoff Dougherty, “Digital Image Processing for Medical Applications”, 2009

    ECTS (Allocated based on student) WORKLOAD
    Activities Quantity Duration (Hour) Total Work Load
    Lecture (14 weeks x Lecture hours per week)45145
    Laboratory / Practice (14 weeks x Laboratory/Practice hours per week) 0
    Midterm Examination (1 week)122
    Final Examination(1 week) 0
    Preparation for Midterm Examination 0
    Preparation for Final Examination7.50
    Total Workload: 47
    ECTS Credit (Total workload/25): 2