Department of Electrical and Electronics Engineering

EEE 462 | Course Introduction and Application Information

Course Name

Medical Imaging and Image Processing

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
EEE 462	FALL	3	0	3	5

Prerequisites	None
Course Language	English
Course Type	ELECTIVE_COURSE
Course Level	First Cycle
Mode of Delivery	Face-to-face
Teaching Methods and Techniques of the Course	Narration / Presentation Question & Answer Problem Solving
National Occupational Classification Code	-
Course Coordinator	Prof. Dr. Aydın Akan
Course Lecturer(s)	Prof. Dr. Aydın Akan
Assistant(s)	-

Course Objectives

Give the principles and technical aspects of medical imaging instrumentation. Teach students the physical principles of medical image data acquisition, and properties and presentation of medical images. Provide with an overview of the computational and mathematical methods in medical image processing.

Learning Outcomes

The students who succeeded in this course;

Name	Description	PC Sub	* Contribution Level
Name	Description	PC Sub	1	2	3	4	5
LO1	Understand the principles and main technical aspects of medical imaging instrumentation and data acquisition	1.5			X
LO2	Identify major processes involved in formation of medical images.	1.5			X
LO3	Recognize the imaging modality from their visualizations.	1.5		X
LO4	Appraise efficacy and drawbacks of several medical imaging technologies.	1.5		X
LO5	Understand the principles and technical aspects of, and the need for basic image processing techniques.	4		X
LO6	Describe fundamental methods for enhancement, segmentation, and registration of medical images.	1.5	X

Course Description

Principles of major medical imaging technologies including x-ray radiography, x-ray computed tomography (CT), ultrasonography, magnetic resonance imaging (MRI), and nuclear imaging (PET and SPECT). A brief discussion on the other emerging imaging technologies such as microscopic imaging. Storage, visualization, and processing of medical image data.

Related Sustainable Development Goals

Course Category	Core Courses
	Major Area Courses	X
	Supportive Courses
	Media and Managment Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Required Materials	Learning Outcome
1	Introduction and Overview: Introduction to medical imaging technology, systems, and modalities. Brief history; importance; applications; trends; challenges.		LO1
2	X-Ray Imaging: X-Ray physics; X-Ray generation, attenuation, scattering; dose	Chapter 1	LO1
3	CT Imaging: Basic principles of CT; reconstruction methods; artifacts; CT hardware	Chapter 1	LO2
4	Ultrasound Imaging: Ultrasound imaging and its applications.	Chapter 3	LO2
5	Medical Image Storage, Archiving and Communication Systems and Formats: Picture archiving and communication system (PACS); Formats: DICOM; Radiology Information Systems (RIS) and Hospital Information Systems (HIS)	Several Sources	LO3
6	Medical Image Visualization and Analysis - I: Fundamentals of visualization; Surface and volume rendering/visualization; Fundamentals of Medical Image Processing	Chapter 5	LO6
7	Medical Image Visualization and Analysis - II: Fundamentals of Medical Image Processing; Thresholding; Segmentation; Registtration	Chapter 5	LO6
8	Midterm Exam in class		-
9	Manyetik Rezonans Görüntüleme (MRG) - I: MR matematiği; Spin fiziği; Görüntüleme temelleri ve donanımı	Chapter 4	LO4
10	Magnetic Resonance Imaging (MRI)- II	Chapter 4	LO4
11	Nuclear Imaging: PET and SPECT Imaging methods; mathematical principles; resolution; noise effect; 3D imaging; positron emission tomography; single photon emission tomography	Chapter 2	LO5
12	Emerging Technologies of Medical Imaging: Confocal, multi-photon microscopic imaging; Deconvolution microscopy	Several Sources	LO5
13	Applications of Medical Imaging - I	Several Sources	LO3
14	Applications of Medical Imaging - II	Several Sources	LO3
15	Review of the Semester		-
16	Review of the Semester		-

Course Notes/Textbooks	Andrew G. Webb Introduction to Biomedical Imaging Wiley-lEEE Press 2003.
Suggested Readings/Materials	Paul Suetens Fundamentals of Medical Imaging Cambridge 2009 ISBN: 9780521519151. Jerry L. Prince and Jonathan Links Medical Imaging Signals and Systems Prentice Hall 2014 ISBN: 9780521519151. Jacop Beutel et al. Handbook of Medical Imaging: Physics and Psychophysics SPIE Press 2000 ISBN: 0819436216.

EVALUATION SYSTEM

Semester Activities	Number	Weighting	LO1	LO2	LO3	LO4	LO5	LO6
Midterm	1	30	X	X	X	X	X
Quizzes / Studio Critiques	2	15	X	X	X
Homework / Assignments	1	15	X	X	X	X	X	X
Final Exam	1	40				X	X	X
Total	5	100

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Participation	-	-	-
Theoretical Course Hours	16	3	48
Laboratory / Application Hours	-	-	-
Study Hours Out of Class	14	3	42
Field Work	-	-	-
Quizzes / Studio Critiques	2	4	8
Portfolio	-	-	-
Homework / Assignments	5	4	20
Presentation / Jury	-	-	-
Project	-	-	-
Seminar / Workshop	-	-	-
Oral Exams	-	-	-
Midterms	1	12	12
Final Exam	1	20	20
		Total	150

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems.
	1	Mathematics
	2	Science
	3	Basic Engineering
	4	Computation
	5	Related engineering discipline-specific topics	LO6	LO3 LO4	LO1 LO2
	6	The ability to apply this knowledge to solve complex engineering problems
2	Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed.
3	Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions.
	1	Ability to design creative solutions to complex engineering problems
	2	Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions
4	Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while recognizing their limitations.			LO5
5	Research and Investigation: Ability to use research methods to investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results.
	1	Literature research for the study of complex engineering problems
	2	Designing experiments
	3	Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results
6	Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals; awareness of the legal implications of engineering solutions.
	1	Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals
	2	Awareness of the legal implications of engineering solutions
7	Ethical Behavior: Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility; awareness of being impartial, without discrimination, and being inclusive of diversity.
	1	Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility ethical responsibility
	2	Awareness of being impartial and inclusive of diversity, without discriminating on any subject
8	Individual and Teamwork: Ability to work effectively, individually and as a team member or leader on interdisciplinary and multidisciplinary teams (face-to-face, remote or hybrid).
	1	Ability to work individually and within the discipline
	2	Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote or hybrid)
9	Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues.
	1	Ability to communicate verbally
	2	Ability to communicate effectively in writing
10	Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.
	1	Knowledge of business practices such as project management and economic feasibility analysis
	2	Awareness of entrepreneurship and innovation
11	Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies, and thinking questioningly about technological changes.