Open AccessMinimization of Dose Load in Algorithms of X-Ray Computed Tomography
Author(s) -
Л. А. Булавин,
Yu. F. Zabashta,
O. V. Motolyha
Publication year - 2019
Publication title -
ukrainian journal of physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.213
H-Index - 17
eISSN - 2071-0194
pISSN - 2071-0186
DOI - 10.15407/ujpe64.4.282
Subject(s) - regularization (linguistics) , algorithm , back projection , minification , inverse , computer science , projection (relational algebra) , inverse problem , tomography , overlay , image (mathematics) , mathematics , computer vision , mathematical optimization , artificial intelligence , optics , physics , geometry , mathematical analysis , programming language
An algorithm has been developed for the reconstruction of an X-ray image obtained at the minimum dose load on the researched object and provided a given image accuracy. This algorithm combines approaches typical of the inverse projection and regularization methods. The image is formed by overlaying filtered projections, and the filtering parameters are determined from the minimum condition for the difference between the discrepancy and the experimental error.