TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Doctorate Of Science
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	Associate Professor Aykut Erdamar
LEARNING OUTCOMES OF THE COURSE UNIT	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