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Course

BME3234060

MEDICAL IMAGING

Biomedical Engineering

LECTURE
3
LAB
0
CREDITS
3
ECTS
6
LANGUAGEEnglishLEVELFirst Cycle (Bachelor's Degree)TYPERequired

AIM

The goal is to convey the fundamental terminology and the underlying physics principles of medical imaging techniques, accompanied by the necessary theoretical knowledge in the field of engineering related to device hardware. This aims to comprehend clinical engineering applications for treatment using image data from the devices.

CONTENT

This course contains; Atomic structure, radioactivity, Rayleigh Scattering, Compton Scattering and Photoelectric Effect,X-Rays, X-ray Tube, X-Ray Devices, Fluoroscopy and Angiography,Computed Tomography Devices and Basic Working Principles,Sound Wave and Physics, Reflection, Refraction, Scattering and Attenuation,Piezoelectric Effect, Transducer, Ultrasonography, Ultrasound Modes and Acquisition,Proton, Spin, Magnetic Moment, Electromagnetism, Magnetic Field and Radio Frequency,Magnetic Resonance Imaging Devices, Image Formation in Magnetic Resonance Devices,Functional Magnetic Resonance device and BOLD technique,Diffusion Tensor Magnetic Resonance Device,Nuclear Medicine Imaging Devices,Positron Emission Tomography and Principles,Digital Twins with 3D Dimensional Reconstruction Tools,Image analysis with MATLAB,Medical Image Reconstruction with MATLAB.

LEARNING OUTCOMES

  1. 1

    Classify the techniques of medical imaging

    Taught by: Discussion Method, Question - Answer Technique, Experiential Learning, Lecture Method

  2. 2

    Express the working principles of medical imaging

    Taught by: Discussion Method, Question - Answer Technique, Computer-Internet Supported Instruction, Experiential Learning, Lecture Method

  3. 3

    Evaluate the working principles and equipments of medical imaging devices

    Taught by: Discussion Method, Demonstration Method, Problem Baded Learning Model, Experiential Learning, Lecture Method

  4. 4

    Analyze the advanategs, disadvantages of the medical imaging devices

    Taught by: Discussion Method, Brainstorming Technique, Simulation Technique, Lecture Method · Assessed by: Traditional Written Exam

  5. 5

    Perform the image generation on MATLAB.

    Taught by: Experiential Learning, Lecture Method · Assessed by: Traditional Written Exam, Homework, Quiz

WEEKLY PLAN

  1. WEEK 1

    Atomic structure, radioactivity, Rayleigh Scattering, Compton Scattering and Photoelectric Effect

    Preparation: Research and create a summary document that explains the fundamental concepts of atomic structure, radioactivity, Rayleigh Scattering, Compton Scattering, and the Photoelectric Effect. Include real-life examples and applications where possible.

  2. WEEK 2

    X-Rays, X-ray Tube, X-Ray Devices, Fluoroscopy and Angiography

    Preparation: Watch educational videos or read articles about X-rays, X-ray tubes, and their applications in fluoroscopy and angiography. Try to understand how these imaging techniques work and their significance in medical diagnostics.

  3. WEEK 3

    Computed Tomography Devices and Basic Working Principles

    Preparation: Study the basic principles of computed tomography and how CT scanners produce cross-sectional images. Explore how different tissue types are distinguished in CT scans and research any recent advancements in CT technology.

  4. WEEK 4

    Sound Wave and Physics, Reflection, Refraction, Scattering and Attenuation

    Preparation: Learn about the physics of sound waves, including concepts of reflection, refraction, scattering, and attenuation. Explore how these principles apply to medical ultrasound and its diagnostic capabilities.

  5. WEEK 5

    Piezoelectric Effect, Transducer, Ultrasonography, Ultrasound Modes and Acquisition

    Preparation: Research the piezoelectric effect and how it is employed in ultrasound transducers. Familiarize yourself with different ultrasound modes and understand the process of image acquisition in ultrasound imaging.

  6. WEEK 6

    Proton, Spin, Magnetic Moment, Electromagnetism, Magnetic Field and Radio Frequency

    Preparation: Study the fundamental concepts of proton spin, magnetic moments, and their application in magnetic resonance imaging (MRI). Understand the role of electromagnetic fields and radio frequencies in MRI.

  7. WEEK 7

    Magnetic Resonance Imaging Devices, Image Formation in Magnetic Resonance Devices

    Preparation: Explore how magnetic resonance imaging devices work and how images are formed in MRI. Understand the role of magnetic fields, gradients, and radiofrequency pulses in MRI image generation.

  8. WEEK 8

    Functional Magnetic Resonance device and BOLD technique

    Preparation: Learn about functional magnetic resonance imaging (fMRI) and the blood-oxygen-level-dependent (BOLD) technique. Investigate how fMRI is used to study brain activity and functional connectivity.

  9. WEEK 9

    Diffusion Tensor Magnetic Resonance Device

    Preparation: Research diffusion tensor imaging (DTI) and its application in understanding the brain's white matter connectivity. Explore how DTI data is acquired and analyzed.

  10. WEEK 10

    Nuclear Medicine Imaging Devices

    Preparation: : Learn about nuclear medicine imaging techniques, including the use of radioactive tracers. Understand how these techniques provide valuable diagnostic information.

  11. WEEK 11

    Positron Emission Tomography and Principles

    Preparation: Explore the principles of positron emission tomography (PET) and its role in detecting and visualizing metabolic processes in the body. Research the radiotracers used in PET imaging.

  12. WEEK 12

    Digital Twins with 3D Dimensional Reconstruction Tools

    Preparation: Study the principles and applications of medical image segmentation

  13. WEEK 13

    Image analysis with MATLAB

    Preparation: Install MATLAB on your computer if not already done. Familiarize yourself with basic MATLAB operations, and practice loading and manipulating images using MATLAB functions.

  14. WEEK 14

    Medical Image Reconstruction with MATLAB

    Preparation: Study the basics of medical image reconstruction using MATLAB. Learn about techniques for image enhancement and reconstruction, and try reconstructing sample medical images.

ASSESSMENT

  • Rate of Midterm Exam to Success30%
  • Rate of Final Exam to Success70%

WORKLOAD

ACTIVITYCOUNTHOURSTOTAL
Course Hours14342
Guided Problem Solving000
Resolution of Homework Problems and Submission as a Report000
Term Project23060
Presentation of Project / Seminar12020
Quiz212
Midterm Exam12121
General Exam14242
Performance Task, Maintenance Plan000

READING

  • 1) Medical Imaging Technology, Victor I. Mikla and Victor V. Mikla, Elsevier 2) Fundamentals of Medical Imaging, Paul Suetens, Cambridge
  • Sunumlara ait PDF dosyaları. Derse ve örnek uygulamalara ait podcast dijtal medya dosyaları.

TEACHING STAFF

  • Assist.Prof. Kevser Banu KÖSECOORDINATOR
  • Assist.Prof. Kevser Banu KÖSE
  • Assoc.Prof. Muhammed Fatih TOY