COURSE UNIT TITLE

: BIOMEDICAL IMAGE PROCESSING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BMT 5003 BIOMEDICAL IMAGE PROCESSING 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

ASSOCIATE PROFESSOR MUSTAFA ALPER SELVER

Offered to

Industrial Ph.D. Program In Advanced Biomedical Technologies
Industrial Ph.D. Program In Advanced Biomedical Technologies
Biomedical Tehnologies (English)

Course Objective

The aim of the course is to teach principles and applications of medical imaging systems, modern digital medical image storage, transfer and display techniques and advanced medical image processing techniques

Learning Outcomes of the Course Unit

1   Understanding principles of medical image processing
2   Understanding Medical Image Representation and Quality Parameters
3   Understanding Medical Spatial and Frequency Domain Image Characteristics
4   Understanding Intensity-Based, Filtering and Morphological Operations for Medical Images
5   Understanding Medical Image Segmentation Applications
6   Understanding DICOM standard and image format
7   Having advanced knowledge and hands on experience on medical image processing techniques and applications
8   Understanding Medical Image Formation and Acquisition Basics

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to biomedical image processing
2 Medical Image Representation and Quality Parameters
3 Spatial Domain Medical Image Characteristics
4 Frequency Domain Medical Image Characteristics
5 Intensity-Based Operations for Medical Images
6 Filtering Operations for Medical Images
7 Morphological Operations for Medical Images
8 Midterm I
9 Image Reconstruction Techniques for Computed Tomography-I
10 Image Reconstruction Techniques for Computed Tomography-II
11 DICOM standard and image format
12 Medical Image Segmentation Techniques
13 Medical Image Segmentation Applications
14 Final

Recomended or Required Reading

Textbook: Fundamentals of Medical Imaging,
Paul Suetens Publication Date: December 26, 2002 | ISBN-10: 0471237663 | ISBN-13: 978-0471237662 | Edition: 1, IEEE Press 2008
Reference books:
1. The Essential Physics of Medical Imaging, Third Edition, Jerrold T. Bushberg, J. Anthony Seibert, Edwin M. Leidholdt, John M. Boone, Publisher: Cambridge University Press; 1 edition (December 15, 2010) Language: English ISBN-10: 0521190657 ISBN-13: 978-0521190657
2. I.Karagöz, O.Eroğul, Tıbbi Görüntüleme Sistemleri, Ankara, Haberal Eğitim Vakfı, 1998.

Planned Learning Activities and Teaching Methods

Lectures with active discussions, midterm and final examinations, theoretical and computer homeworks

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE MTE * 0.50 + FIN * 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE MTE * 0.50 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Students ability to make calculations in course outcomes are evaluated using 1 midterm and 1 final examination. Their ability to use the information and capture the concepts in applications are evaluated in 10 different homeworks that consist theoretical and computer based studies for which they have to prepare technical reports. Midterms consist 50% and final examination consists 50% of the final grade. Midterm and final exams are based on the homework tasks and indirectly contribute to the final grade.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

alper.selver@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Homeworks 10 3 30
Preperation to lectures 12 5 60
Preperation to midterms 1 30 30
Preperation to final 1 30 30
Final 1 3 3
Midterm 1 6 6
TOTAL WORKLOAD (hours) 195

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.15443512221
LO.25444523122
LO.35455553334
LO.45443522222
LO.53441211542
LO.6
LO.7
LO.8

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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