BME4006 Principles of Medical ImagingBahçeşehir UniversityDegree Programs ARTIFICIAL INTELLIGENCE ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
BME4006 Principles of Medical Imaging Spring
3 0 3 6
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi BORA BÜYÜKSARAÇ
Course Lecturer(s): Prof. Dr. NAFİZ ARICA
Course Objectives: • To introduce the major techniques of imaging modalities.
• To present the underlying physics, image formation theories and selected applications of each modality.
• To teach the functions of the primary components of the widely used imaging modalities.

Learning Outcomes

The students who have succeeded in this course;
• Learn the functions of the primary components of the widely used imaging modalities.
• Know the physics and image formation theories of the imaging modalities.
• Gain the ability to decide on imaging parameters of each modality.

Course Content

The underlying physics, image formation theories and selected applications of each modality will be presented.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to medical imaging, overview of the modalities (radiography, fluoroscopy, mammography, computed tomography)
2) Overview of the modalities (Magnetic Resonance Imaging, Ultrasound Imaging, Doppler Ultrasound)
3) Nuclear medicine imaging, Single Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET), combined imaging modalities, image properties (Contrast, Spatial Resolution)
4) X-ray production, X-ray tubes, and X-ray generators, Bremsstrahlung spectrum, Characteristic x-ray spectrum
5) x-ray tubes, cathode, anode
6) Anode configurations: stationary and rotating, measurement of focal spot size
7) Anode angle, field coverage, and focal spot size, heel effect, off-focal radiation, collimators
8) Filtration, attenuation of x-rays, linear attenuation coefficient, mass attenuation coefficient, half-value layer, factors affecting x-ray emission, quality, quantity, and exposure
9) Mammography, focal spot considerations
10) Tube port, tube filtration, and beam quality, magnification techniques
11) CT system designs, basic concepts and definitions
12) X-ray tubes, filters, and collimation in CT scanners, x-ray interactions (rayleigh scattering, compton scattering)
13) X-ray interactions (the photoelectric effect)
14) Hounsfield Unit (HU)

Sources

Course Notes / Textbooks: Jerrold T. Bushberg, J. Anthony Seibert, Edwin M. Leidholdt Jr., John M. Boone
“The Essential Physics of Medical Imaging” ISBN: 9780781780575, 3rd Edition,
Publisher: Lippincott Williams & Wilkins (2012).

References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Midterms 1 % 40
Final 1 % 60
Total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
Total % 100

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Have sufficient background in mathematics, science and artificial intelligence engineering.
2) Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3) Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4) Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5) Select and use modern techniques and tools necessary for engineering applications.
6) Design and conduct experiments, collect data, and analyse and interpret results.
7) Work effectively both as an individual and as a multi-disciplinary team member.
8) Access information via conducting literature research, using databases and other resources
9) Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10) Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11) Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12) Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13) Have a sense of professional and ethical responsibility.
14) Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.