NDLI: Effect of voxel size in CT simulations

Content Provider	IEEE Xplore Digital Library
Author	Goertzen, A.L. Beekman, F.J. Cherry, S.R.
Copyright Year	2000
Description	Author affiliation: Crump Inst. for Molecular Imaging, California Univ., Los Angeles, CA, USA (Goertzen, A.L.)
Abstract	In computer simulations of X-ray CT systems one can either use continuous geometrical descriptions for phantoms or a voxelized representation. The voxelized approach allows arbitrary phantoms to be defined without being confined to geometrical shapes. The disadvantage of the voxelized approach is that inherent errors are introduced due to the phantom voxelization. To study effects of phantom discretization, analytical CT simulations were run for a fan-beam geometry with phantom voxel sizes ranging from 0.0625 to 2 times the reconstructed pixel size and noise levels corresponding to 10/sup 3/ to 10/sup 7/ photons per detector pixel prior to attenuation. Differences in the filtered back-projection (FBP) images caused by different phantom matrix sizes were assessed by calculating the difference between reconstructions based on the finest matrix and coarser matrix simulations. In noise free simulations, all phantom matrix sizes produced a measurable difference from the almost continuous case. When even a small amount of noise was added to the projection data, the differences due to the phantom discretization were masked by the noise, and in all cases there was almost no improvement by using a phantom matrix that was more than twice as fine as the reconstruction matrix.
File Size	703435
File Format	PDF
ISBN	0780365038
ISSN	10823654
DOI	10.1109/NSSMIC.2000.949326
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-10-15
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Imaging phantoms Computed tomography Image reconstruction Computational modeling Computer simulation Shape Computer errors Solid modeling Analytical models Geometry
Content Type	Text
Resource Type	Article

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