'Institute of Electrical and Electronics Engineers (IEEE)'
Abstract
[EN] The QR-Decomposition algorithm for CT 3D image
reconstruction uses a linear system of equations to model the
CT system response. Linear systems have a condition number
that can be used to estimate the image noise. In this work the
number of projections and the number of pixels in the detector
have been studied to characterize the CT and the linear system
of equations. The condition number of the system is estimated for
the previous parameters used to generate the CT model with the
aim of characterizing how these parameters affect the condition
number and therefore bound the image noise level. It is shown
that the condition number mainly depends on the size of pixels
of the detector rather than the number of projections and this
algorithm can be applied to low dose CT 3D image reconstruction
without compromising image qualityThis work was supported by the Spanish Plan Nacional de Investigacion Científica, Desarrollo e Innovación Tecnológica (I+D+I) under Grant No. FIS2010-21216-CO2-01 and Valencian Local Government under Grants PROMETEOII/2013/010 and ISIC 2011/013Iborra, A.; Rodríguez-Álvarez, MJ.; Soriano, A.; Sánchez, F.; Bellido, P.; Conde, P.; Crespo, E.... (2013). Effect of noise in CT image reconstruction using QR- Decomposition algorithm. IEEE. 5-9. http://hdl.handle.net/10251/167122S5