Resumo

ALZUGARAY PRADO, Lester Jesús; FIDALGO GARCIA, Jose Ramón  e  ORELLANA GARCIA, Arturo. Analysis and selection of algorithms to perform linear measurements of neurostructures in Magnetic Resonance images. RCCI [online]. 2023, vol.17, n.4  Epub 01-Dez-2023. ISSN 2227-1899.

Through the incursion of modern computing into medical studies, a specialization known as neuroinformatics arises, which encompasses research based on neuroscience data. Among the areas of greatest interest to the community are the processing and visualization of studies, which generates a growing development of applications for this purpose. One of the most complex elements in the visualization of brain images, due to their characteristics, are the measurements of some neurostructures to diagnose different pathological conditions. The XAVIA-PACS Platform, developed in Cuba, promotes the storage, transmission and visualization of digital medical images; this solution does not promote the processing of brain structures, limiting its use. The University of Computer Sciences and the Cuban Neuroscience Center CNEURO develop joint projects, from which scientific-technical research and the training of professionals are promoted. From this alliance, the BrainSSys project was conceived, whose objective is the development of neuroscience data processing algorithms. In this sense, there is a particular interest in providing the XAVIA PACS solution with algorithms that encourage its use by specialists and researchers. In this research, an analysis of the measurement algorithms in images from Magnetic Resonance studies is carried out in order to select the one with the best performance in terms of precision for the development of the study comparator.

Palavras-chave : Algorithm; Measures; Python; DICOM.

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