| Type: | Ph.D.-level, Open University
Language: English |
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Compulsory: Random processes and statistical modeling/parameter estimation.
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Recommended semester: Late in program
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Scope and form: Lectures, exercises, and a project on biomedical image analysis.
Lectures in the morning (9:00am-12:00pm), computer exercise/project in the afternoon (13:00pm-17:00pm)
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Examination: Evaluation of report(s) (Pass/fail)
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| Contact person: | Tulay Adali |
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Department: Informatics and Mathematical Modelling
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Aim: 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.
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Contents: 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.
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