BMS430 Medical Image Processing

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

Information

Code BMS430
Name Medical Image Processing
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
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. AHMET AYDIN


Course Goal

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

None

Resources

Gonzalez, R. C., Woods, R. E. (2008). Digital image processing. Upper Saddle River, N.J.: Prentice Hall. ISBN: 9780131687288 013168728X 9780135052679 013505267X

Notes

Lecture 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 Bilgi - Kuramsal, Olgusal Scientific problems encountered in the field of medicine and medical technologies; the ability to solve problems by applying the technical approaches of mathematics, science and engineering sciences. 5
PLO02 Yetkinlikler - Öğrenme Yetkinliği To be able to improve oneself by embracing the importance of lifelong learning and by following the developments in science-technology and contemporary issues.
PLO03 Yetkinlikler - Öğrenme Yetkinliği Assess the contributions of engineering solutions on medicine, medical technologies and healthcare.
PLO04 Yetkinlikler - Öğrenme Yetkinliği Identifying problems related to biomedical engineering. 5
PLO05 Yetkinlikler - Öğrenme Yetkinliği Modeling problems related to biomedical engineering.
PLO06 Beceriler - Bilişsel, Uygulamalı Analyzing data and interpreting the results. 4
PLO07 Beceriler - Bilişsel, Uygulamalı To be able to use modern techniques and computational tools required for engineering applications. 5
PLO08 Beceriler - Bilişsel, Uygulamalı Ability to analyze and design a process in line with a defined goal. 5
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği To be able to understand the problems and wishes of the medical doctor in their scientific studies from an engineering point of view. 5
PLO10 Yetkinlikler - İletişim ve Sosyal Yetkinlik Expressing ideas verbally and in writing, clearly and concisely. 5
PLO11 Yetkinlikler - Alana Özgü Yetkinlik To be conscious of calibration and quality assurance systems in Biomedical Engineering.
PLO12 Beceriler - Bilişsel, Uygulamalı Design and Implement Experiments.
PLO13 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Ability to act independently, set priorities and creativity.
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Being aware of national and international contemporary issues in the field of Biomedical Engineering.
PLO15 Yetkinlikler - İletişim ve Sosyal Yetkinlik Ability to work in interdisciplinary teams.
PLO16 Yetkinlikler - Alana Özgü Yetkinlik To have a sense of professional and ethical responsibility.


Week Plan

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


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 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS