Digital processing of medical images. Algorithms. Technologies. Usage

The book presents various aspects of digital medical image processing. The methods of correction, correction and image filtration are discussed. We describe the parameterizations extracting the most important information from the images (from the point of view of the problem being solved), while reducing the number of data. On a practical example, analysis of blood vessels, the analysis of parameters - data resulting from digital image processing is presented.

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Table of Contents

1. The main problems of medical imaging

2. Image representation

2.1. Image acquisition
2.2. Spatial domain
2.3. The domain of frequency
2.4. transform

3. Medical images

3.1. X-rays
3.2. mammography
3.3. angiography
3.4. Computed tomography
3.5. Magnetic resonance imaging
3.6. ultrasound
3.7. Visualization by means of nuclear medicine

4. Image analysis

4.1. Pre-processing methods
4.2. Filtration of digital images
4.3. Nonlinear FIlters
4.4. Morphological filters
4.5. Modified shades of gray
4.6. Edge detection
4.7. Image segmentation
4.8. Feature analysis

5. Methods of artificial intelligence

5.1. Genetic and evolutionary algorithms
5.2. Fuzzy logic
5.3. Neruon networks
5.4. Classification

6. Analysis of the blood vessels of the brain

6.1. Material and methods
6.2. Geometric parameters of vessels
6.3. The algorithm for detecting the edge of a blood vessel
6.4. Determination of geometric parameters of vessels
6.5. Simulation of blood circulation in blood vessels
6.6. Statistical analysis
6.7. Results
6.8. morphometry

7. Simulation of flow in symmetrical and asymmetrical types of the brain's arterial circle

8. Termination

A. Correlative tables and tables

Literature

B. Drawings