Practical manual of post-processing of images in Computed Tomography

Abstract

Modern tomographs allow for multiple scanners and offer multiple options for data manipulation after scanning has occurred, referred to as image post-processing or retrospective reconstructions. In a Computed Tomography (CT) service with various equipment and a large team of professionals, standardizing image post-processing protocols becomes necessary to meet anatomical emphasis needs for each examination. It’s also crucial for the client (attending physician and patient) to recognize a pattern in the reconstruction techniques when accessing image series. However, there isn’t a corresponding product to meet this demand due to a diverse team of professionals responsible for reconstructions, each employing their own standards. Hence, this project aims to create a comprehensive practical manual for post-processing in CT procedures, focusing on providing clear guidelines to enhance the quality and interpretation of diagnostic results. It involves selecting key CT examinations, linking the post-processing series performed in a large clinic’s service, and conducting an evaluation, drawing from literature, regarding areas for improvement to be considered. Ultimately, protocols will be developed for the main routine clinical examinations to meet diagnostic needs and facilitate online visualization for requesting physicians.