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ENGLISH
Information
| Code | BMS430 |
| Name | Medical Image Processing |
| Term | 2024-2025 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 |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. AHMET AYDIN |
| Course Instructor |
1 2 |
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
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 | ||