Course Details

MEDICAL IMAGING SYSTEMS

BENG423

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Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
5BENG423MEDICAL IMAGING SYSTEMS3+0+035

Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program BIOENGINEERING
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course The aim of this course is to provide fundamental knowledge of medical imaging systems, teach their operating principles, explain how medical images are generated, and develop the ability to compare the advantages and disadvantages of each imaging modality.
Course Content This course provides an in-depth introduction to basic medical imaging systems including Radiography (X-ray), Computed Tomography (CT), Gamma Camera, Single-Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET), Ultrasound, and Magnetic Resonance Imaging (MRI). The course covers the working principles, image formation, advantages, and disadvantages of these modalities.
Course Methods and Techniques The course is based on a student-centered approach that incorporates in-class activities, group work, homework assignments, mini projects, and technical trips. Various interactive methods such as discussions, peer collaboration, and hands-on applications will be employed. The teaching methodology also includes individual presentations and integration of technology-enhanced learning tools to support critical thinking and practical understanding.
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Research Assist.Dr. Refika Sultan DOĞAN https://avesis.agu.edu.tr/refikasultan.dogan refikasultan.dogan@agu.edu.tr
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Andreas Maier, Stefan Steidl, Vincent Christlein, Joachim Hornegger – Medical Imaging Systems, Springer Open, 2018. (Free access online)
Journals: IEEE Transactions on Image Processing (TIP) IEEE Transactions on Medical Imaging (TMI) Journal of Digital Imaging Physics in Medicine and Biology European Journal of Radiology
Conference Proceedings: IEEE International Conference on Image Processing (ICIP) IEEE Conference on Computer Vision and Pattern Recognition (CVPR) SPIE Medical Imaging Conference MICCAI – Medical Image Computing and Computer Assisted Intervention
Lecture notes and reading materials will be shared weekly through the CANVAS platform. The main textbook is:

Andreas Maier, Stefan Steidl, Vincent Christlein, Joachim Hornegger, Medical Imaging Systems, Springer Open, 2018.

Additionally, scientific articles from journals and conference proceedings such as IEEE TIP, ICIP, and CVPR will be recommended throughout the course.
Lecture notes and reading materials will be shared weekly through the CANVAS platform. The main textbook is: Andreas Maier, Stefan Steidl, Vincent Christlein, Joachim Hornegger, Medical Imaging Systems, Springer Open, 2018.
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Course Category
Mathematics and Basic Sciences %30
Engineering %20
Engineering Design %10
Social Sciences %0
Education %5
Science %10
Health %20
Field %70

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Yarıyıl İçi Çalışmalarının Başarı Notunun Katkısı 1 % 5
Quiz/Küçük Sınav 3 % 10
Ödev 3 % 20
Proje/Çizim 1 % 30
Final examination 1 % 35
Total
9
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Araştırma Ödevi 3 3 9
Tartışma 14 1 14
F2F Dersi 14 3 42
Sınıf İçi Aktivitesi 14 1 14
Sunum 1 1 1
Proje 1 6 6
Araştırma 10 2 20
Takım/Grup Çalışması 1 1 1
Teknik Gezi 1 1 1
Öğretici Sunum/Açıklama 1 1 1
Yüz Yüze Ders 14 3 42
Final Sınavı 1 3 3
Total Work Load   Number of ECTS Credits 5 154

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Define medical imaging systems in detail.
2 Describe the application areas of medical imaging systems.
3 Learn how medical imaging devices work.
4 Evaluate recent developments in medical imaging devices.


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction and Basic Concepts Textbook: Chapter 1 Activity: In-class discussion, individual presentations
2 Fundamentals of X-ray Technology Textbook: Chapter 2 Assignment 1
3 Fundamentals of Computed Tomography (CT) Textbook: Chapter 3 Assignment 2
4 Magnetic Resonance Imaging (MRI) Textbook: Chapter 4 Assignment 3
5 Ultrasonography and Ultrasound Imaging Textbook: Chapter 5 Assignment 4
6 Nuclear Medicine Imaging (PET & SPECT) Textbook: Chapter 6 Reading: Recent advances from IEEE TIP articles
7 Nuclear Medicine Imaging (continued) Assignment 5 Activity: Case study analysis
8 Fall Semester Break
9 Active Learning Week / Technical Trip Activity: Visit to the hospital's clinical engineering department
10 Midterm Exam Covers topics from Week 1 to Week 7
11 Fundamentals of Image Processing Application: Basic image filtering, segmentation techniques
12 Image Quality and Artifacts Reading: Contrast, resolution, noise, and artifact correction techniques
13 Clinical Applications and Case Studies Group activity: Clinical scenario evaluations
14 Radiation Safety and Medical Ethics Presentation: Biological effects of radiation and ethical considerations
15 Future Imaging Technologies Reading: AI-powered imaging systems, deep learning applications


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
All 1 1 1 1
C1 3 5 4 2 1 3 3 1
C2 3 3 5 3 1 3 4 5
C3 4 4 5 4 1 4 4 4
C4 2 4 4 3 4 3 2 5

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant


https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=72060&lang=en
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