2016 Medical Image Processing

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Academic unit or major
Graduate major in Information and Communications Engineering
Nakamura Kentaro  Tabaru Marie  Ohyama Nagaaki  Obi Takashi 
Class Format
Media-enhanced courses
Day/Period(Room No.)
Tue5-6(G224)  Fri5-6(G224)  
Course number
Academic year
Offered quarter
Syllabus updated
Lecture notes updated
Language used
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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.


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.


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.

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