At the end of this course, the students; 1) Gain problem solving skills. 2) Learn fundamentals of X-Ray and numerical radiology. 3) Know to mathematical fundamentals of image processing and image preparing from back projected images 4) Learn about computed tomography, SPECT, gamma cameras and PET systems. 5) Know to MR, ultrasound, biomagnetic and optics imaging. 6) Learn archiving and sending Medical Images. 7) Know about Medical Informatics and Hospital Information Systems.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
Digital Image Fundamentals, Image Transforms, Image Enhancement, Restoration, Segmentation, Fusion, Image Reconstruction in Computed Tomography, Multislice Tomography, Advanced Studies in Magnetic Resonance Imaging Systems (K-Spaces, Phase and Frequency Encoding, Image Reconstruction Techniques), Image Processing in Nuclear Medicine, Noise Reduction in Nuclear Medicine Images, Color Flow Imaging, Clinical Thermography, Archiving and Communications of Medical Images, DICOM-3 Standard, WEB based Image Transfer, Compression of Medical Images with/without Loss.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Fundamentals of X-Rays
2nd Week
Numerical Radiology
3rd Week
Mathematical Fundamentals of Image Processing
4th Week
Image Preparing from the Back Projected Images
5th Week
Image Preparing in Computed Tomography
6th Week
One Photon Emission Computed Tomography (SPECT)
7th Week
Gama Cameras
8th Week
Midterm Exam
9th Week
Pozition Emission Tomography (PET)
10th Week
Magnetic Resonance Imaging Mathematics and Algorithms
11th Week
Ultrasound and Ultrasonic Imaging
12th Week
Biomagnetic Imaging
13th Week
Optics Imaging Systems
14th Week
Archiving and Sending Medical Images, Medical Informatics
RECOMENDED OR REQUIRED READING
(1)Foundation of Medical Imaging, Z.H. Cho, J.P. Jones and M. Singh, John Wiley and Sons, New York, 1993. (2)Principles of Medical Imaging, K.K. Shung, M.B. Smith, B.M.W. Tsui, Academic Press.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Problem Solving
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
30
Assignment
1
20
Quiz
2
10
Total(%)
60
Contribution of In-term Studies to Overall Grade(%)
60
Contribution of Final Examination to Overall Grade(%)
40
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
96
96
Preparation for Quiz
2
12
24
Individual or group work
1
3
3
Preparation for Final exam
1
12
12
Course hours
14
3
42
Preparation for Midterm exam
1
11
11
Laboratory (including preparation)
0
0
0
Final exam
1
96
96
Homework
2
12
24
Total Workload
308
Total Workload / 30
10,26
ECTS Credits of the Course
10
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
