Dokuz Eylül University Information Package / Courses Catalog

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type Of Course	D	U	L	ECTS
EEE 5106	MAGNETIC RESONANCE IMAGING	ELECTIVE	3	0	0	8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR MUSTAFA ALPER SELVER

Offered to

Industrial Ph.D. Program In Advanced Biomedical Technologies
Industrial Ph.D. Program In Advanced Biomedical Technologies
ELECTRICAL AND ELECTRONICS ENGINEERING (ENGLISH)
Biomedical Tehnologies (English)
ELECTRICAL AND ELECTRONICS ENGINEERING (ENGLISH)
ELECTRICAL AND ELECTRONICS ENGINEERING (ENGLISH)

Course Objective

Magnetic Resonance Imaging (MR) is an exciting new source of diagnostic information. The technique utilizes strong magnets and low energy radio frequency signals to gather information from certain atomic nuclei within the body. These signals are used to electronically create images of internal anatomy. The resulting magnetic pictures are, in some ways, similar to X-ray images, but the process does not require ionizing radiation. This course will describe the fundamental principles of MR, how to generate the signals and form images, and how to manipulate different MR parameters to provide maximum diagnostic information

Learning Outcomes of the Course Unit

1	Get acquainted with the hardware used in a typical MR imaging device
2	Understand the details of the signal processing used in MRI
3	Understand the details of the signal processing used in MRI.
4	Understanding the usage of alternative techniques in MR imaging
5	Understanding instrumentation of MRI

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	1. Principles of Magnetic Resonance 1.1. Nuclear Magnetism 1.2. Resonance Phenomenon 1.3. Relaxation times
2	Principles of Magnetic Resonance 2.1. Principle of imaging 2.2. SNR and spatial resolution 2.3. Rapid scan techniques
3	Spatial characteristics of MR images 3.1. Image quality 3.2. SNR 3.3. Spatial resolution 3.4. Overview of data acquisition
4	Fourier Imaging 4.1. Measurement of data 4.2. Reconstruction of images
5	Fourier Imaging 5.1. Slice selection 5.2. Frequency encoding
6	Fourier Imaging 6.1. Phase encoding 6.2. 3D imaging
7	Physiologic Basis of Magnetic Relaxation 7.1. Fundamental relaxation mechanisms 7.2. Compartmentalization
8	Physiologic Basis of Magnetic Relaxation 8.1. Determinants of tissue T1 and T2
9	Instrumentation 9.1. Magnetic fields 9.2. Magnets 9.3. Magnetic field gradients 9.4. RF coils and electronics 9.5. Computers and digital processing
10	Image Contrast and Noise 10.1. Introduction 10.2. Spin-echo imaging
11	Image Contrast and Noise 11.1. Inversion recovery imaging 11.2. Gradient-echo imaging 11.3. Noise and its effect on low-contrast lesion detection
12	Special Pulse Sequences and Techniques 12.1. Manipulation of contrast 12.2. STEAM and STIR
13	Special Pulse Sequences and Techniques 13.1. Specialized measurements 13.2. Methods of gating
14	Contrast Agents 14.1. General mechanisms 14.2. Magnetic susceptibility 14.3. Relaxation effects 14.4. Soluble agents

Recomended or Required Reading

TEXTBOOK : Zhi-Pei Liang and Paul C. Lauterbur, Principles of
Magnetic Resonance Imaging , IEEE Press, 2000.
REFERENCE BOOKS : Paul J. Keller, Basic Principles of Magnetic Resonance
Imaging , GE Medical Systems.
: David D. Stark and William G. Bradley, Jr., Magnetic
Resonance Imaging , The C.V. Mosby Company, St.
Louis, 1988.

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. All class members are expected to attend the lecture hours and take part in the discussions. Besides the taught lecture, some group or individual presentations are to be prepared by the students and presented. In addition, homeworks and quizzes will be given to the students.

Assessment Methods

SORTING NUMBER	SHORT CODE	LONG CODE	FORMULA
1	MTE	MIDTERM EXAM
2	ASG	ASSIGNMENT
3	FCG	FINAL COURSE GRADE	MTE * 0.50 + ASG * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

- Homework(s)
- Presenation(s) and report(s)
- Midterm Exam

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

alper.selver@deu.edu.tr
02323017685

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Lectures	14	3	42
Preparations before/after weekly lectures	14	3	42
Preparation for midterm exam	1	10	10
Preparation for quiz etc.	7	2	14
Preparing assignments	12	6	72
Quiz etc.	10	1	10
Midterm	1	3	3
TOTAL WORKLOAD (hours)			193

Contribution of Learning Outcomes to Programme Outcomes

PO/LO	PO.1	PO.2	PO.3	PO.4	PO.5	PO.6	PO.7	PO.8	PO.9	PO.10	PO.11	PO.12	PO.13	PO.14
LO.1	2	1
LO.2	2	1							1
LO.3	1	1	1		4	1			1			1	1
LO.4	1	2	3	1	1		1	1	2	1		1	2
LO.5	3	3	3	2	4	1	1	1	2	1	1	1	1	1

COURSE UNIT TITLE

DEGREE PROGRAMMES

Description of Individual Course Units

Offered By

Level of Course Unit

Course Coordinator

Offered to

Course Objective

Learning Outcomes of the Course Unit

Mode of Delivery

Prerequisites and Co-requisites

Recomended Optional Programme Components

Course Contents

Recomended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods

Further Notes About Assessment Methods

Assessment Criteria

Language of Instruction

Course Policies and Rules

Contact Details for the Lecturer(s)

Office Hours

Work Placement(s)

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes

CONTACT INFORMATION