BMS430 Medical Image Processing

5 ECTS - 3-0 Duration (T+A)- 8. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
BIOMEDICAL ENGINEERING PR.
Code BMS430
Name Medical Image Processing
Term 2019-2020 Academic Year
Semester 8. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. AHMET AYDIN
Course Instructor Doç. Dr. AHMET AYDIN (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

To learn the currently used digital image processing methods and to understand the medical applications of these methods.

Course Content

Digital Image Fundamentals, Intensity Transformations and Spatial Filtering, Image Restoration and Reconstruction, Color Image Processing, Morphological Image Processing, Image Segmentation, Representation and Description

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learns Basics of Digital Image Processing
LO02 Learns Intensity Transformations, Spatial Filtering, Histogram Processing
LO03 Learns Noise Models and Noise Filtering Methods, Image Reconstruction Methods Used For Computer Tomography
LO04 Learns Color Image Processing Methods
LO05 Learns Morphological Image Processing Methods such as Erosion, Dilation, Boundary Extraction etc.
LO06 Learns Image Segmentation Methods such as Point, Line and Edge Detection, Basic and Adaptive Thresholding, Region-Based Segmentation etc.
LO07 Learns Boundary and Regional Representation and Description Methods


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - 1. Solve the scientific problems encountered in medicine and medical technologies by applying technical approaches of disciplines. 2. Self development on science and technology issues. 3. Assess the contributions of engineering solutions on medicine, medical technologies and healthcare 3
PLO02 - 1. Define the problems about Biomedical Engineering 2. Modelling the problems about Biomedical Engineering. 4
PLO03 - 1. Analyse data and interpret results 3
PLO04 - 1. Utilize modern techniques and computing tools which are essential for Engineering applications 4
PLO05 - 1. Design and analyse a defined process 2. Recognise national and international problems for Biomedical Engineering 3
PLO06 - Understand the research problems of medical doctor with engineering perspective 5
PLO07 - 1. Describe the ideas clearlywith written and verbally 2. Have the interdisciplinary teamwork skills 5
PLO08 - 1. Have knowledge on calibration and quality assurance systems in Biomedical Engineering 2. Have the sense of responsibility and professional ethics 2


Week Plan

Week Topic Preparation Methods
1 Introduction Review of the Syllabus
2 Introduction to Digital Image Processing and Basic Methods Review of Chapter 1 of Lecture Book
3 Image Acquisition and Digitization Review of Section 2.1, 2.2, 2.3, 2.4 of Lecture Book
4 Basic Tools for Digital Image Processing Review of Section 2.5, 2.6 of Lecture Book
5 Intensity Transformation and Histogram Processing Review of Section 3.1, 3.2, 3.3 of Lecture Book
6 Spatial Filtering - 1 Review of Section 3.4, 3.5 of Lecture Book
7 Spatial Filtering - 2 Review of Section 3.6, 3.7 of Lecture Book
8 Mid-Term Exam Mid-Term Exam
9 Image Restoration and Reconstruction Review of Chapter 5 of Lecture Book
10 Color Image Processing Review of Chapter 6 of Lecture Book
11 Morphological Image Processing Review of Chapter 9 of Lecture Book
12 Image Segmentation - 1 Review of Section 10.1, 10.2, 10.3 of Lecture Book
13 Image Segmentation - 2 Review of Section 10.4, 10.5, 10.6 of Lecture Book
14 Shape Description Review of Chapter 11 of Lecture Book
15 Review and QA Review of the Lecture Notes
16 Term Exams Final Exams
17 Term Exams Final Exams


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Homework 100 20
General Assessment
Midterm / Year Total 100 20
1. Final Exam - 80
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 1 10 10
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 124
Total Workload / 25 (h) 4,96
ECTS 5 ECTS

Update Time: 04.06.2025 10:58