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Revista Cubana de Ciencias Informáticas

versão On-line ISSN 2227-1899


RUIZ GONZALEZ, Yusely; PEREZ DIAZ, Marlen  e  ARENCIBIA GUERRERO, Yoandra. Image fusion algorithm for phase-contrast and phase retrieval images. Rev cuba cienc informat [online]. 2020, vol.14, n.4, pp.85-101.  Epub 01-Dez-2020. ISSN 2227-1899.

During the set-up of phase-contrast breast CT with synchrotron radiation, propagation-based imaging (PBI) and phase-retrieval imaging (PRI) methods were used to obtained medical images. It is desirable to merge both image modalities keeping the advantages of each one. Image fusion algorithms were programmed and their performance was compared. The experiments used PBI and PRI images from a physic phantom, acquired at SYRMEP facilities, Trieste-Italy. Regions of interest were selected and image quality indexes were estimated such as: noise signal ratio, contrast and visibility of the edges, to compare the performance of the algorithms. Of the three programmed fusion methods, the one with the best results was the M3, since it established the best compromise in the improvement on the quality indices used. In the merged image the noise level was reduced with respect to the PBI image, the contrast was increased and the edge blurring effect of the PRI image was avoided due to visibility index improvements. This result allowed to observe a greater amount of detail in the merged image than in the PBI and PRI images separately. It is important from the point of view of the diagnosis and also save working time for specialists.

Palavras-chave : Phase Contrast; Phase Retrieval; Image Fusion.

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