Resolución de imágenes tomográficas mediante Matlab

Abstract

The objective of this titling work was to perform a computational simulation using the Matlab programming language to improve the resolution of the images obtained in Computed Tomography. For this, mathematical tools such as matrix analysis, the use of computer programs that facilitate mathematical calculations, and comparative analysis based on the graphic display of results were used. Verify the efficiency of each filter method used to obtain a restoration of the distorted images approximate to the real one but not in its entirety since some part of the information is not found in the test image. The performance of each of the filters used was demonstrated through the evaluation of experimental tests and the implementation of mathematical algorithms where the images corresponding to a cranial tomography are processed and analyzed, the results obtained from the application of computational algorithms in Based a mathematical analysis is visualized in the design of a Graphical Interface for its respective evaluation. It is concluded that the results obtained from the application of each application of the proposed filter are excellent in the restoration of the digital image, however, the reverse filter will be the most effective in detecting high frequencies or sudden variations in shades of gray and prevents the loss of information or details, allowing images to be obtained free of noise and with excellent resolution quality. Therefore, the Inverse filter is an excellent choice for the treatment or processing of tomographic images and that generates totally satisfactory results in terms of maintaining a relationship between resolution, sharpness and image quality. It is recommended that the calculation of the signal-to-noise ratio be performed to theoretically corroborate the determination of the quantitative performance of the various filters implemented.