2023 Medical Image Processing

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Academic unit or major
Graduate major in Information and Communications Engineering
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))  
Course number
Academic year
Offered quarter
Syllabus updated
Lecture notes updated
Language used
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.


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 Understand the classification of medical images and be able to explain the basics of medical image processing
Class 2 Image Processing for Radiography Understand the image processing technology used for the X-ray image and apply the method to the actual image.
Class 3 Medical Image Reconstruction and Linear Imaging System Understand the linear modeling of medical imaging systems and be able to explain iterative reconstruction techniques
Class 4 Radon Transform Evaluation of Image Quality(2) -Noise Characteristics- Understand the frequency domain in CT and explain details of Radon transform.
Class 5 Image Reconstruction Method for X-ray CT Understand the nature of the projection data and be able to explain the principle of image reconstruction of X-ray CT
Class 6 Statistical Techniques for Medical Image Processing Understand the nature of radionuclides and be able to explain that observation data follow Poisson's assumption.
Class 7 Inverse Problems for Medical Image Processing Understand the handling of data including statistical noise and can explain the maximum likelihood estimation method
Class 8 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 9 Foundation of ultrasound and ultrasonic imaging Learn about basic physics of ultrasound and principle of ultrasonic imaging.
Class 10 Ultrasonic transducers Understand the structure of ultrasonic transducers and its working principles.
Class 11 Signal processing for ultrasonic measurement and imaging Learn about signal processing for ultrasonic measurement and imaging such as filtering and correlation calculation.
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 Ultrasonic Doppler imaging Understand the ultrasonic Doppler method, M-mode and measurement of blood flow.
Class 14 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 textbooks and other course material.


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 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 signal and image processing in undergraduate levels.
ICT.H421(Medical Imaging Systems) or some Medical Imaging Modalities background is desired.

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