TÜRKÇE
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 | Have sufficient knowledge in mathematics, natural sciences, and biomedical engineering, along with the ability to use theoretical and applied knowledge in these areas to solve complex engineering problems. | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Acquire the ability to identify, formulate, and solve complex Biomedical Engineering problems; for this purpose, will have the ability to choose and apply appropriate analysis and modeling methods. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | The ability to design a complex system, process, device, or product in Biomedical Engineering under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | The ability to select and use modern techniques and tools necessary for analyzing and solving complex problems encountered in Biomedical Engineering applications; the ability to use information technologies effectively. | 5 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics in Biomedical Engineering. | |
| PLO06 | Bilgi - Kuramsal, Olgusal | The ability to work effectively in intra-disciplinary (Biomedical Engineering) and multi-disciplinary teams; ability to work individually. | 4 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | The ability to communicate effectively verbally and in writing; knowledge of at least one foreign language; ability to write effective reports in Biomedical Engineering and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions. | 5 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Get awareness of the necessity of lifelong learning; the ability to access information in the field of Biomedical Engineering, to follow developments in science and technology, and the ability to constantly self-renewal. | 5 |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Acting following ethical principles, professional and ethical responsibility in the field of Biomedical Engineering, and knowledge of the standards used in engineering practice. | 5 |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Knowledge of project management and practices in the field of Biomedical Engineering, such as risk management and change management; awareness about entrepreneurship, innovation, and sustainable development. | 5 |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Understanding the universal and societal impacts of Biomedical Engineering applications on health, environment, and safety; awareness of the legal implications of Biomedical Engineering solutions. | |
| PLO12 | Bilgi - Kuramsal, Olgusal | Understanding of biology and physiology. | |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Ability to make measurements on living systems and interpret data collected from these measurements. | |
| PLO14 | Bilgi - Kuramsal, Olgusal | Ability to solve problems related to the interactions between living and nonliving materials and systems. |
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 | ||