Medical Image Processing

Course title

N0810400

	satou hiroki
	takahashi masanobu

Course description

In modern society, image processing technology is applied to all fields. This largely depends on the abundant information amount of the image. In this course, after lectures on basic techniques of image digitization and processing, students will learn the principles of medical imaging technologies such as ultrasound, X-ray CT, and magnetic resonance imaging (MRI).

Purpose of class

To understand general image digitization and image processing methods. Further, students will learn the properties and construction principles of representative medical images.

Goals and objectives

Be able to explain basic terms of image processing with full understanding.
Be able to explain basic techniques in image processing.
Be able to explain the principles and characteristics of representative medical imaging technologies with understanding of the significance of medical images.

Language

Japanese

Class schedule

	Class schedule	HW assignments (Including preparation and review of the class.)	Amount of Time Required
1.	About Digital images (Color, Sampling, Quantization)	Preparation (Text 1-4, 1-5)	90minutes
1.	About Digital images (Color, Sampling, Quantization)	Review of the contents	100minutes
2.	Geometric transformation. Image filtering and image transformation (1)	Preparation (Text 1-3-2, 1-3-3, 1-6-1, 5-1, 5-2)	90minutes
2.		Review of the contents	100minutes
3.	Image filtering and image transformation (2). Binary image processing (1)	Preparation (Text 5-3, 5-4, 6-1)	90minutes
3.		Review of the contents	100minutes
4.	Binary image processing (2). Image segmentation. Video image processing. Pattern detection.	Preparation (Text 6-1, 6-3, 6-4, 7-3)	90minutes
4.		Review of the contents	100minutes
5.	Pattern recognition, Neural network and deep learning. Input and output equipment (1).	Preparation (Text 7-5, 7-5, 9-5)	90minutes
5.		Review of the contents	100minutes
6.	Input and output equipment (1). Image file format and recording methods.	Preparation (Text 9-5, 9-6)	90minutes
6.		Review of the contents	100minutes
7.	Midterm exam and explanations	Review of all the contents	190minutes
8.	Measurements and Imaging	Exercise	30minutes
8.	Measurements and Imaging	Survey and discussion on medical imaging	180minutes
9.	X-ray imaging	Exercise	30minutes
9.	X-ray imaging	Survey and discussion on medical imaging	180minutes
10.	Ultrasound imaging	Exercise	30minutes
10.	Ultrasound imaging	Survey and discussion on medical imaging	180minutes
11.	Magnetic resonance imaging (MRI)	Exercise	30minutes
11.	Magnetic resonance imaging (MRI)	Survey and discussion on medical imaging	180minutes
12.	Practice of medical image processing	Report 1	180minutes
13.	Final exam and explanations	Survey and discussion on medical imaging	180minutes
14.	Special lecture	Report 2	180minutes
Total.	-	-	2710minutes

Relationship between 'Goals and Objectives' and 'Course Outcomes'

	Midterm exam	Final exam	Quizzes and assignments	Reports	Total.
1.	25%				25%
2.	25%				25%
3.		30%	5%	15%	50%
4.					0%
Total.	50%	30%	5%	15%	-

Evaluation method and criteria

Comprehensive evaluations including quizzes/assignments (5%), and reports (15%) in addition to the results of the mid-term exam (50%) and the final exam (30%) will be conducted.
In addition, the qualification of the image processing engineer examination is taken into the considerations (details will be described first).
The exam will be based on the contents of textbooks, prints, lecture materials, etc.
Students with total evaluation of above 60% earn the credits.

Textbooks and reference materials

Visual information processing -Introduction to Computer graphics and Image processing- (CG-ARTS)

Prerequisites

Prepare to be able to understand the program algorithm which was taught in classes such as Information Processing.

Office hours and How to contact professors for questions

Takahashi: Friday lunch break.
Sato: 5th period of Tuesday (an e-mail appointment is needed in advance).

Regionally-oriented

Non-regionally-oriented course

Development of social and professional independence

Course that cultivates an ability for utilizing knowledge
Course that cultivates a basic problem-solving skills

Active-learning course

N/A

Course by professor with work experience

Work experience	Work experience and relevance to the course content if applicable
Applicable	Taking advantage of experience engaged in R&D of biomedical technology at a company, examples of the practical application will be discussed.

Education related SDGs:the Sustainable Development Goals

3.GOOD HEALTH AND WELL-BEING
9.INDUSTRY, INNOVATION AND INFRASTRUCTURE

Last modified : Sun Mar 21 16:17:58 JST 2021