COURSE UNIT TITLE

: MAGNETIC RESONANCE IMAGING

DEGREE PROGRAMMES

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/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.1543425533
LO.2553433435
LO.35555555555
LO.45555555555
LO.55555555555

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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