International Symposium on Image and Signal Processing and Analysis

In recent years, significant advances have been made in the field of X-ray imaging. Modern X-ray scanners can collect a huge amount of data which is processed by custom-tailored reconstruction algorithms. Reconstructed images are then analysed with advanced image processing techniques. As a result, faster image formation, increased spatial and temporal resolution, and more detailed image analysis can be achieved. The aim of the special session is to investigate the tomographic process from the viewpoint of the data processed. The topic of the special session includes, but is not limited to

• linear and non-linear modeling methods of X-ray imaging devices;
• novel type and/or custom-tailored image reconstruction algorithms;
• handling with noisy, imprecise or missing data in tomography;
• collecting and exploiting prior information in image reconstruction;
• data collection, analysis and visualization in reconstruction tomography;
• machine learning methods in tomography;
• optimization in tomography;
• applications in absorption-, phase-, fluorescent-, and diffraction-contrast tomography.