MECHATRONICS ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
BME4326 Medical Imaging and Image Processing Fall
 3 0 3 7
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Non-Departmental Elective
Course Level: Bachelor
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi BORA BÜYÜKSARAÇ
Course Objectives: The principles of the major imaging techniques including x-ray radiology, x-ray computed tomography (CT), ultrasonography and magnetic resonance imaging; including a brief discussion on the other emerging imaging technologies such as nuclear imaging (PET and SPECT). Processing of medical image data.

Learning Outputs

The students who have succeeded in this course;
1. Identify major processes involved in formation of medical images
2. Explain the underlying scientific principles of the major medical imaging techniques;
3. Understand the advantages and disadvantages of the major imaging techniques.
4. Describe the characteristics and properties of different types of medical images
5. Describe fundamental methods for image enhancement and visualization
6. Know the fundamentals of medical image registration and image fusion
7. Appraise efficacy and drawbacks of several techniques for image segmentation

Course Content

An undergraduate level course on medical imaging and medical image analysis. The course includes topics in medical image formation, medical imaging techniques, such as X-Ray, Computed Tomography, Magnetic Resonance Imaging, and Nuclear Imaging, image segmentation, registration, statistical modeling, visualization, and applications of computational tools for medicine.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Wk 1. Introduction to medical imaging technology, systems, and modalities. Brief history; importance; applications; trends; challenges.
2) Wk 2. X-Ray physics; X-Ray generation, attenuation, scattering; dose; Basic principles of CT; reconstruction methods; artifacts; CT hardware
3) Wk 3. Picture archiving and communication system (PACS); Formats: DICOM; Radiology Information Systems (RIS) and Hospital Information Systems (HIS)
4) Wk 4. Basic image processing algorithms; Thresholding; contrast enhancement; SNR characteristics; filtering; histogram modeling
5) Wk 5. Fundamentals of visualization; surface and volume rendering/visualization; animation; interaction
6) Wk 6. Mathematics of MR; spin physics; NMR spectroscopy; imaging principles and hardware; image artifacts
7) Wk 7. Midterm Examination. Discussion and solutions of the questions.
8) Wk 8. Histogram-based methods; Region growing and watersheds; Markov Random Field models; active contours; model-based segmentation
9) Wk 9. Multi-scale segmentation; semi-automated methods; clustering-based methods; classification-based methods; atlas-guided approaches; multi-model segmentation
10) Wk 10. Intensity-based methods; cost functions; optimization techniques
11) Wk 11. Imaging methods; mathematical principles; resolution; noise effect; 3D imaging; positron emission tomography; single photon emission tomography; ultrasound imaging; applications
12) Wk 12. Current technology in medical image search, content-based image retrieval, new trends: ontologies. Applications.
13) Wk 13. Validation, Image Guided Surgery, Image Guided Therapy, Computer Aided Diagnosis/Diagnostic Support Systems
14) Wk 14. Evaluation of Course Projects

Sources

Course Notes: P. Sautens, Fundamentals of Medical Imaging, 2009
References: J.L. Prince, J. Links, Medical Imaging Signals and Systems, 2005

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance % 0
Laboratory 8 % 20
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments % 0
Presentation % 0
Project 1 % 20
Seminar % 0
Midterms 1 % 20
Preliminary Jury % 0
Final 1 % 40
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Laboratory 6 2 12
Application 8 2 16
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 16 4 64
Presentations / Seminar 0 0 0
Project 7 4 28
Homework Assignments 0 0 0
Quizzes 0 0 0
Preliminary Jury 0 0 0
Midterms 1 3 3
Paper Submission 0 0 0
Jury 0 0 0
Final 1 3 3
Total Workload 168

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Build up a body of knowledge in mathematics, science and Mechatronics Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems.
2) Identify, formulate, and solve complex Mechatronics Engineering problems; select and apply proper modeling and analysis methods for this purpose.
3) Design complex Mechatronic systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose.
4) Devise, select, and use modern techniques and tools needed for solving complex problems in Mechatronics Engineering practice; employ information technologies effectively.
5) Design and conduct numerical or pysical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Mechatronics Engineering.
6) Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Mechatronics-related problems.
7) Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, give and receive clear and understandable instructions.
8) Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself.
9) Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Mechatronics Engineering applications.
10) Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development.
11) Acquire knowledge about the effects of practices of Mechatronics Engineering on health, environment, security in universal and social scope, and the contemporary problems of Mechatronics engineering; is aware of the legal consequences of Mechatronics engineering solutions.