| Academic Year |
2024Year |
School/Graduate School |
Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Informatics and Data Science Program |
| Lecture Code |
WSN21201 |
Subject Classification |
Specialized Education |
| Subject Name |
画像工学特論 |
Subject Name
（Katakana） |
ガゾウコウガクトクロン |
Subject Name in
English |
Image Analysis and Synthesis Technology |
| Instructor |
HIGAKI TORU |
Instructor
(Katakana) |
ヒガキ トオル |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, First Semester, 1Term |
| Days, Periods, and Classrooms |
(1T) Weds5-8 |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
|
Lecture, Presentation, Discussion, Project work
Check for announcements by Microsoft Teams. |
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
B
:
Japanese／English |
| Course Level |
6
:
Graduate Advanced
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
02
:
Information Science |
| Eligible Students |
Graduate students of Information Engineering |
| Keywords |
Image processing, Medical imaging, CT, MRI, Visualization, Segmentation, Registration, Volume rendering, Lesion detection |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Class Objectives
/Class Outline |
With the development of diagnostic imaging devices such as CT and MRI, a large number of medical images are generated for each examination, increasing the load on the radiologists. To solve this problem, there is a need to develop pre-processing-, easy-to-understand display-, and diagnostic support methods to reduce the load.
In this lecture, students will learn the basics of medical image processing and specific techniques such as region segmentation, alignment, visualization, and lesion detection, and deepen their understanding through project work. |
| Class Schedule |
lesson1: Guidance & Assignment of presentation
lesson2: Introduction to medical image processing
lesson3: Medical image segmentation, registration, and visualization
lesson4: Computer-aided lesion detection
lesson5: Paper review, presentation, and discussion 1
lesson6: Paper review, presentation, and discussion 2
lesson7: Paper review, presentation, and discussion 3
lesson8: Paper review, presentation, and discussion 4
lesson9: Paper review, presentation, and discussion 5
lesson10: Paper review, presentation, and discussion 6
lesson11: Paper review, presentation, and discussion 7
lesson12: Paper review, presentation, and discussion 8
lesson13: Paper review, presentation, and discussion 9
lesson14: Paper review, presentation, and discussion 10
lesson15: Project work & Summary
Project work including computer programming |
Text/Reference
Books,etc. |
Handouts and related papers |
PC or AV used in
Class,etc. |
|
| (More Details) |
|
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
Prepare the presentation thoroughly under the review of the assigned paper. |
| Requirements |
All the students who take the class should attend the first lesson: Guidance and Assignment of presentation. |
| Grading Method |
Overall evaluation of project work, report, presentation, and discussion |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
|
| Other |
|
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. |