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http://dx.doi.org/10.7742/jksr.2017.11.7.679

Influence of Regularization Parameter on Algebraic Reconstruction Technique  

Son, Jung Min (Department of Radiological Science, The Graduate School of Daegu Catholic University)
Chon, Kwon Su (Department of Radiological Science, The Graduate School of Daegu Catholic University)
Publication Information
Journal of the Korean Society of Radiology / v.11, no.7, 2017 , pp. 679-685 More about this Journal
Abstract
Computed tomography has widely been used to diagnose patient disease, and patient dose also increase rapidly. To reduce the patient dose by CT, various techniques have been applied. The iterative reconstruction is used in view of image reconstruction. Image quality of the reconstructed section image through algebraic reconstruction technique, one of iterative reconstruction methods, was examined by the normalized root mean square error. The computer program was written with the Visual C++ under the parallel beam geometry, Shepp-Logan head phantom of $512{\times}512$ size, projections of 360, and detector-pixels of 1,024. The forward and backward projection was realized by Joseph method. The minimum NRMS of 0.108 was obtained after 10 iterations in the regularization parameter of 0.09-0.12, and the optimum image was obtained after 8 and 6 iterations for 0.1% and 0.2% noise. Variation of optimum value of the regularization parameter was observed according to the phantom used. If the ART was used in the reconstruction, the optimal value of the regularization parameter should be found in the case-by-case. By finding the optimal regularization parameter in the algebraic reconstruction technique, the reconstruction time can be reduced.
Keywords
Computed Tomography; Algebraic Reconstruction Technique; Regularization Parameter;
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