At the end of this course, the students; 1) Have detailed information about digital radiography 2) Learn mathematical foundations of image processing and image reconstruction techniques 3) Learn Magnetic Resonance Imaging system and image reconstruction techniques 4) Learn gamma camera, Single Photon Emission Tomography (SPECT), Positron Emission Tomography (PET) and Positron Emission Tomography / Computed Tomography (PET/CT) systems
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
Fundamentals of Digital Image, Image Transformations, Image Enhancement, Restoration, Segmentation, Fusing, Image Generation in Computed Tomography, Multislice Tomography, Flat Detector Technology, Positron Propagation Technology, Advanced Topics in Magnetic Resonance Imaging Systems (K-Space, Phase and Frequency Coding, Image Creation Methods), Image Processing in Nuclear Medicine, Noise Reduction in Nuclear Medicine Images, Color Flow Imaging, Clinical Tomography, Archiving of Medical Image, DICOM-3 Standard, WEB-based Image Transmission, Compression of Medical Images
COURSE CONTENTS
WEEK
TOPICS
1st Week
Digital radiography
2nd Week
Digital radiography
3rd Week
Digital image reconstruction techniques
4th Week
Digital image reconstruction techniques
5th Week
Image reconstruction techniques in computed tomography
6th Week
Digital Subtraction Angiography (DSA)
7th Week
Magnetic Resonance Imaging
8th Week
Midterm
9th Week
Magnetic Resonance Imaging Mathematics and Algorithms
10th Week
Magnetic Resonance Imaging Mathematics and Algorithms
11th Week
Gamma cameras
12th Week
Single Photon Emission Tomography (SPECT)
13th Week
Positron Emission Tomography (PET)
14th Week
Positron Emission Tomography / Computed Tomography (PET/CT) systems
RECOMENDED OR REQUIRED READING
Introduction to Medical Imaging Physics, Engineering and Clinical Applications. Cambridge Texts in Biomedical Engineering. Nadine Barrie Smith, Andrew Webb. 2010
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Discussion,Presentation
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
35
Assignment
1
20
Total(%)
55
Contribution of In-term Studies to Overall Grade(%)
55
Contribution of Final Examination to Overall Grade(%)
45
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
72
72
Preparation for Quiz
0
0
0
Individual or group work
2
3
6
Preparation for Final exam
1
24
24
Course hours
14
3
42
Preparation for Midterm exam
1
24
24
Laboratory (including preparation)
0
0
0
Final exam
1
96
96
Homework
1
24
24
Total Workload
288
Total Workload / 30
9,6
ECTS Credits of the Course
10
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)