Course Information

Course Information
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
Weekly Topics (Content)
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
Recommended Sources
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
Material Sharing
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
Relations with Education Attainment Program Course Competencies
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
*DK = Course's Contrubution.
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
ECTS credits and course workload
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