Print

2024　Medical Image Engineering

Font size  SML

Register update notification mail Add to favorite lecture list
Academic unit or major
Graduate major in Information and Communications Engineering
Instructor(s)
Nakamura Kentaro  Tabaru Marie  Obi Takashi 
Class Format
Lecture    (Face-to-face)
Media-enhanced courses
Day/Period(Room No.)
Tue5-6(G1-109 (G115))  Fri5-6(G1-109 (G115))  
Group
-
Course number
ICT.H504
Credits
2
Academic year
2024
Offered quarter
1Q
Syllabus updated
2024/3/14
Lecture notes updated
-
Language used
English
Access Index

Course description and aims

As the aging population advances and awareness of health increases, interest in healthcare is growing. Medical devices have become essential technologies in our lives. Among them, the widespread adoption of medical imaging devices, which can visualize internal structures of the body without causing harm and obtain tomographic or three-dimensional images, is remarkable. In this course, we will learn about the principles of various devices such as ultrasound diagnostic equipment, X-ray photography, X-ray CT, nuclear medicine diagnostic equipment, and optical CT, which are actually used in clinical settings. We will also study the broad field of image processing techniques, covering data collection, image formation, reconstruction, processing, and analysis.
The purpose of this course is to provide students with the necessary foundation to become engineers in the field of information and communication engineering in the field of medical imaging in the future.

Student learning outcomes

By the end of this course, students will be able to:
1) Acquire knowledge related to the fundamentals of the medical imaging systems.
2) Acquire knowledge related to the fundamentals of the image reconstruction technique and the image processing technique.
3) Understand the practical use and application of the medical field.
4) Understand future subjects of those systems.

Keywords

Medical imaging, image reconstruction, medical image processing, ultrasound systems, optical tomography, MRI, X-ray imaging systems, X-ray CT, gamma camera, SPECT, PET

Competencies that will be developed

✔ Specialist skills Intercultural skills Communication skills Critical thinking skills Practical and/or problem-solving skills

Class flow

A lecture is given during each class, so students should review the material after class.
In each class, students will be given a quiz and a report to check their understanding of the class.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Classification of the Medical Images Understand the classification of medical images and be able to explain the basics of medical image processing
Class 2 Basics of X-ray modality Understand the principle of the parts of the X-ray imaging system and to explain the X-ray imaging method.
Class 3 Image processing of X-ray images Understand image processing techniques applied to X-ray images and be able to apply some of the techniques to real images
Class 4 Medical image reconstruction and linear systems Evaluation of Image Quality(2) -Noise Characteristics- Understand linear modeling of medical imaging systems and be able to describe iterative reconstruction methods
Class 5 Image Reconstruction Method for X-ray CT Understand and explain the the basic principles of Gammma camera, SPECT and PET.
Class 6 Nuclear Imaging Understand the nature of radionuclides and be able to explain that observation data follow Poisson's assumption.
Class 7 Image Reconstruction Method for SPECT, PET Understand the nature of measurement data of SPECT, PET and be able to explain the principle of image reconstruction.
Class 8 Foundation of ultrasound and ultrasonic imaging Learn about basic physics of ultrasound and principle of ultrasonic imaging.
Class 9 Ultrasonic transducers Understand the structure of ultrasonic transducers and its working principles.
Class 10 Signal processing for ultrasonic measurement and imaging Learn about signal processing for ultrasonic measurement and imaging such as filtering and correlation calculation.
Class 11 Ultrasonic echo measurement principle and A-mode image construction method Learn how to acquire echo signals from a living body using an ultrasonic transdeuter and how to construct an A-mode image.
Class 12 Ultrasonic array probe and basics for B-mode imaging Understand the use of linear array ultrasonic transducer and its applications for beam forming and B-mode imaging.
Class 13 Fundamentals and Principles of Optical Coherence Tomography After learning the basics of optical measurement and various methods, the student will be able to explain the basic principles of optical coherence tomography.
Class 14 Cross-sectional image acquisition by optical coherence tomography Understand the principle of optical coherence tomography (OCT).

Out-of-Class Study Time (Preparation and Review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to course materials.

Textbook(s)

None required.

Reference books, course materials, etc.

All materials used in class can be found on T2SCHOLA.

Assessment criteria and methods

Students will be assessed on their understanding of the medical imaging systems, the medical images, the basic algorithms and the medical image processing methods.
Students’ course scores are based on class reports, exercise problems (50%) and final report (50%).

Related courses

  • ICT.S403 ： Multidimensional Information Processing

Prerequisites (i.e., required knowledge, skills, courses, etc.)

1) This class requires knowledge of fundamentals on the signal and image processing in undergraduate levels.
2) Students who who have already taken either Medical Imaging Systems or Medical Image Processing cannot take this course.

Page Top