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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
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- Common courses
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- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Information and Communications Engineering
- Instructor(s)
- Nakamura Kentaro Tabaru Marie Ohyama Nagaaki Obi Takashi
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Tue5-6(G224) Fri5-6(G224)
- Group
- -
- Course number
- ICT.H504
- Credits
- 2
- Academic year
- 2016
- Offered quarter
- 1Q
- Syllabus updated
- 2016/12/14
- Lecture notes updated
- 2016/5/20
- Language used
- Japanese
- Access Index
-
Course description and aims
The progress of medical image processing technology has played a significant role in improving medical diagnoses and treatment techniques. Medical image processing technology in the narrow sense is the processing and analysis of medical images already attained, but in this course students learn about image processing in the broader sense, in other words everything from data collection to image formation, image reconstruction, processing, and analysis. The specific topics of this course are the properties of images obtained from medical image devices, image reconstruction techniques used by medical imaging equipment that use X-rays, and gamma rays, as well as the image generation and processing techniques of ultrasonic diagnostic equipment, and computer diagnosis support technology.
Students in this course learn how various conventionally studied signal processing technology and image processing technology are used in the medical field based on examples applied to specific modalities. Students build the knowledge necessary for aspiring information and communications engineers in the medical imaging field.
Student learning outcomes
By the end of this course, students will be able to:
1) Acquire knowledge related to the fundamentals of the image reconstruction technique and the image processing technique.
2) Understand the practical use and application of the medical field.
3) Understand future subjects of those systems.
Keywords
Medical Image, Image reconstruction, Medical Image Processing, Computer Aided Diagnosis
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.
Attendance is taken in every class.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Classification of the medical images | Instruct in class. |
| Class 2 | X-ray Imaging | Instruct in class. |
| Class 3 | Image Quality Evaluation(1) -input-output and resolution characteristics - Evaluation of Image Quality(1) -Signal Characteristics- | Instruct in class. |
| Class 4 | Image Quality Evaluation(2) -noise characteristics- Evaluation of Image Quality(2) -Noise Characteristics- | Instruct in class. |
| Class 5 | ROC Analysis | Instruct in class. |
| Class 6 | Technology for Medical Image and Signal Processing | Instruct in class. |
| Class 7 | Image Reconstruction Method for X-ray CT | Explain the image reconstruction method of the, X-ray CT. |
| Class 8 | Image reconstruction for SPECT, PET | Explain the image reconstruction method of the SPECT, PET. |
| Class 9 | Foundation of medical ultrasound | Instruct in class. |
| Class 10 | Medical ultrasound(2) - 3D imaging, contrast imaging - | Instruct in class. |
| Class 11 | Medical ultrasound(2) - Motion imaging - | Instruct in class. |
| Class 12 | Medical ultrasound(2) - Statistical imaging - | Instruct in class. |
| Class 13 | Hardware for noise reduction | Instruct in class. |
| Class 14 | MRI, Image Processing for Multi-modality image | Instruct in class. |
| Class 15 | Computer Aided Diagnosis | Instruct in class. |
Textbook(s)
None required.
Reference books, course materials, etc.
All materials used in class can be found on OCW-i.
Assessment criteria and methods
Students will be assessed on their understanding of 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.H421 ： Medical Imaging Systems
Prerequisites (i.e., required knowledge, skills, courses, etc.)
This class requires knowledge of fundamentals on the image processing in undergraduate levels.
ICT.H421(Medical Imaging Systems) or some Medical Imaging Modalities background is desired.
