
Hardware Implementation on the Weight Calculation of Iterative Algorithm for CT Image Reconstruction
Author(s) -
Cao Xixin,
Ma Kaisheng,
Lian Renchun,
Zhang Qihui
Publication year - 2013
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.13.0212.0569
Subject(s) - pixel , algorithm , square (algebra) , iterative reconstruction , rotation (mathematics) , iterative method , software , computer science , image (mathematics) , scheme (mathematics) , mathematics , computer vision , artificial intelligence , geometry , mathematical analysis , programming language
The weight calculation in an iterative algorithm is the most computationally costly task in computed tomography image reconstruction. In this letter, a fast algorithm to speed up the weight calculation is proposed. The classic square pixel rotation approximate calculation method for computing the weights in the iterative algorithm is first analyzed and then improved by replacing the square pixel model with a circular pixel model and the square rotation approximation with a segmentation method of a circular area. Software simulation and hardware implementation results show that our proposed scheme can not only improve the definition of the reconstructed image but also accelerate the reconstruction.