2016 Medical Image Information (Special Course for Medico-Dental Engineering)

Font size  SML

Register update notification mail Add to favorite lecture list
Academic unit or major
Information Processing
Instructor(s)
Ohyama Nagaaki  Yamaguchi Masahiro  Obi Takashi 
Course component(s)
Lecture     
Day/Period(Room No.)
Intensive ()  
Group
-
Course number
ZIK.B521
Credits
2
Academic year
2016
Offered quarter
3Q
Syllabus updated
2016/4/27
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

Medical diagnosis and treatment technology has advanced with the development of medical image processing technology, In general, the medical image processing refers to the processing and analysis of medical images that have already been acquired. But in this lecture, we learn also the data acquisition, image reconstruction. Lectures topics are the characteristics of medical imaging, image reconstruction and processing techniques of X-ray, gamma-ray, and computer aided diagnosis technologies and so on.
This course facilitates students’ understanding of how signal processing and image processing technology that have learned has been used in the medical field and the growth of a telecommunications engineer in the madical imaging field.
This course is for

Student learning outcomes

By the end of this course, students will be able to:
1) Acquire knowledge related to the fundaentals 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, Medicai 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

Every lesson contains a lecture. Afterming to class, review the contents of the 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 Technology for Medical Image and Signal Processing(1) -Analytic Reconstruction - Instruct in class.
Class 3 Technology for Medical Image and Signal Processing(2) -Numerial Reconstruction- Instruct in class.
Class 4 Technology for Medical Image and Signal Processing(3) -Stochastic Reconstruction- Instruct in class.
Class 5 Image Reconstruction Method for X-ray CT Instruct in class.
Class 6 Image Reconstruction Method for Emission CT Instruct in class.
Class 7 Image Reconstruction Method for Trasmission CT Instruct in class.
Class 8 Color Medical Image Instruct in class.
Class 9 Pathology Image Instruct in class.
Class 10 Computer Aided Diagnosis Instruct in class.

Textbook(s)

None required.

Reference books, course materials, etc.

Course materials are provided during class.

Assessment criteria and methods

Students will be assessed on their understanding of the medical images, the basic algorithmes and the medical image processing methods.
Students’ course scores are based on class reports.

Related courses

  • ZIF.D431 : Diagnostic Radiology and Nuclear Medicine

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

This class requires knowledge of fundamentals on the image processing in undergraduate levels.

Page Top