Course Title | Code | Semester | L+U Hour | Credits | ECTS |
---|---|---|---|---|---|
Medical Imaging Systems | BMM403 | 7. Semester | 3 + 0 | 3.0 | 3.0 |
Prerequisites | None |
Language of Instruction | Turkish |
Course Level | Undergraduate |
Course Type | |
Mode of delivery | face to face |
Course Coordinator |
Lect. Dr. Sabri UZUNER |
Instructors |
Sabri UZUNER |
Assistants | |
Goals | To train qualified engineers who can develop new methods for diagnosis and treatment in the biomedical field with the skills they have, who know how to access information and produce new technologies with the information they reach, who are prone to research / development and teamwork. |
Course Content | As a department that aims to train research engineers who can compete at national and international level in the field of Biomedical Engineering, aiming to develop in the field of health and sustainable development, equipped with lifelong learning skills, to make a qualified contribution to the vision and 2015-2019 strategic plan of Düzce University and our country and to participate in production. |
Learning Outcomes |
- To gain application skills in the field of Biomedical Engineering by using health sciences and engineering knowledge - To gain the ability to design and develop all or a component of a medical device, software or product used in the field of health under realistic conditions - To gain the ability to define, model and solve a problem in medicine with engineering approaches. - Using up-to-date software and hardware effectively - To gain professional responsibility and ethical awareness - To gain the ability to work individually and with professionals in the health sector - To gain the ability to communicate orally and in writing. To use a foreign language effectively in professional life - Awareness of the necessity of lifelong learning; to gain the ability to access information, to follow developments in science and technology and to continuously renew oneself |
Week | Topics | Learning Methods |
---|---|---|
1. Week | Introduction and Overview of Medical Imaging Techniques | Course Hours |
2. Week | Nuclear Imaging Techniques: Gamma Cameras, SPECT, and PET | Course Hours |
3. Week | Single Photon Emission Computed Tomography (SPECT) System and Operating Principles | Course Hours |
4. Week | Positron Emission Tomography (PET) Technology | Course Hours |
5. Week | X-Ray Imaging and Radiographic Technology | Course Hours |
6. Week | Computed Tomography (CT) System and Operating Principles | Course Hours |
7. Week | Magnetic Resonance Imaging (MRI) Technology | Course Hours |
8. Week | Ultrasound (US) Imaging Systems | Course Hours |
9. Week | Mathematical Foundations of Imaging Techniques | Course Hours |
10. Week | Image Processing and Enhancement Techniques | Course Hours |
11. Week | Data Compression and Storage Methods in Imaging | Course Hours |
12. Week | Tissue and Organ Analysis in Medical Imaging | Course Hours |
13. Week | Artificial Intelligence and Machine Learning Applications in Imaging | Course Hours |
14. Week | Future Technologies and Innovations in Medical Imaging | Course Hours |
Tıbbi Görüntüleme Sistemleri - Halit Özdemir |
Görüntü İşleme ve Uygulamaları - Mahmut Tosun |
Medical Imaging: Principles and Practice - Elizabeth Carney |
Biomedical Imaging: The Chemistry of Live Imaging - Sanjiv Sam Gambhir |
Introduction to Medical Imaging - John O. Jensen |
Fundamentals of Medical Imaging - Paul Suetens |
Digital Image Processing for Medical Applications - John C. Russ |
Presantation materials (ppt, slayt etc.) | Genel Tanıtım |
Presantation materials (ppt, slayt etc.) | Nükleer Tıp |
Presantation materials (ppt, slayt etc.) | Nükleer Tıp |
Presantation materials (ppt, slayt etc.) | MRI |
Program Requirements | Contribution Level | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 | DK7 | DK8 | Measurement Method |
---|---|---|---|---|---|---|---|---|---|---|
PY1 | 4 | 4 | 4 | 3 | 3 | 2 | 4 | 3 | 4 | 40,60 |
0 | 1 | 2 | 3 | 4 | 5 | |
---|---|---|---|---|---|---|
Course's Level of contribution | None | Very Low | Low | Fair | High | Very High |
Method of assessment/evaluation | Written exam | Oral Exams | Assignment/Project | Laboratory work | Presentation/Seminar |
Event | Quantity | Duration (Hour) | Total Workload (Hour) |
---|---|---|---|
Course Hours | 14 | 3 | 42 |
Midterm 1 | 1 | 2 | 2 |
Homework 1 | 1 | 2 | 2 |
Homework 2 | 1 | 1.5 | 1.5 |
Final | 1 | 2 | 2 |
Practice | 9 | 3 | 27 |
Total Workload | 76.5 | ||
ECTS Credit of the Course | 3.0 |