Responsible person for the course: Tulay
Adali, Assoc. Prof., e-mail: adali@eivind.imm.dtu.dk
Course description: The objective of the course is to introduce the students two active areas of research in biomedical imaging: stochastic model based image analysis and its applications and medical image databases.
Course content: The course will provide a complete treatment of the biomedical image analysis problem in terms of imaging physics, statistical models for the pixel and context images and their justification, and segmentation of images, as well as study of key applications of image analysis, such as registration. Particular emphasis will be on magnetic resonance images but other modalities such as computed radiography and computed tomography will be discussed as well. Last part of the course will focus on design, management, and access technologies for medical image databases.
Prerequisites for the course: Random processes and statistical modeling/parameter estimation.
Institution: Technical University of Denmark
Danish name of institution: Danmarks Tekniske Universitet
Official abbreviation: DTU
Department: Department of Mathematical Modelling (IMM)
Dates: 22 to 26 May, 2000
Course arrangement: Lectures in the morning (9:00am-12:00pm), computer exercise/project in the afternoon (13:00pm-17:00pm)
Teaching arrangement: Lectures, exercises, and a project on biomedical image analysis
Language: English
Place: Lectures (9:00am-12:00pm): Building 305, Room 205 (22/5-25/5)
and Building 321, Room 33 (26/5);
Computer Exercise/Project (13:00pm-17:00pm): Building 302, Room
43;
Technical University of Denmark, 2800 Lyngby
Number of participation hours: 35 hours
Number of actual working hours: Around 50 hours
Estimated part of obligatory 1/2 year courses: 10 % or 3 ECTS Points.
The course is part of the following Ph.D. program: Electrical Engineering
Course fee: Ph.D. students and Master students from DTU: None. Danish and foreign guest students: None. For students not attached to any University kr. 3.000,-
Registration: By e-mail to adali@eivind.imm.dtu.dk
Participant's obligation during the course: Attending the lectures, participation in the course, and a final project report.
For further information about the course: Please send e-mail to adali@eivind.imm.dtu.dk.
REFERENCES:
Main References:
Other References:
(in case you need to refresh some of the basics and/or want
additional reading material on the topics discussed in the class)
Matlab References: (in case you need a quick reference)