Computer aided analysis of brain in magnetic resonance images

In this work magnetic resonance imaging (MRI) based image processing methods for the automatic detection and prevention of dementia are developed. MRI a powerful, non-invasive hardware technology used for number of tasks, one of them is to screen and visualize the brain of patients with diagnosed dementia. Currently, there is no widely accepted automatic signal or image processing methods for the Alzheimer’s disease detection or description of the blood vessel quality in medical routines. Development of reliable and automatic MRI digital image analysis methods can reinforce the disease diagnosis based on cognitive scores and help to start patient treatment earlier.

The goal of this work is to develop digital image processing methods suitable for the early detection of dementia from the MRI scans of the brain.

Thesis consists of introduction followed by 4 chapters: review of skeletonization and Alzheimer’s disease detection methods, blood vessel skeletonization, materials and methods for Alzheimer’s disease and results of automatic classification. In the Introduction the research object, main goal and tasks, scientific novelty, research object, practical significance and defended statements are presented.

There are 3 appendixes attached to the thesis. Thesis consists of 124 pages, with 34 figures, 27 tables and 117 references.

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DOI: https://doi.org/10.20334/2084-M