Hardware Implementation on the Weight Calculation of Iterative Algorithm for CT Image Reconstruction

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 we...

Full description

Saved in:
Bibliographic Details
Published in:ETRI journal 2013, 35(5), , pp.931-934
Main Authors: Cao, Xixin, Ma, Kaisheng, Lian, Renchun, Zhang, Qihui
Format: Article
Language:English
Subjects:
circular pixel model
FPGA
segmentation method
simulation
Weight calculation
전자/정보통신공학
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1225-6463
2233-7326
DOI:10.4218/etrij.13.0212.0569