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 103 to 103 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.
Original language | English (US) |
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Title of host publication | IEEE Nuclear Science Symposium and Medical Imaging Conference |
Editors | D. Merelli, J. Surget, M. Ulma |
Volume | 3 |
State | Published - 2000 |
Event | 2000 IEEE Nuclear Science Symposium Conference Record - Lyon, France Duration: Oct 15 2000 → Oct 20 2000 |
Other
Other | 2000 IEEE Nuclear Science Symposium Conference Record |
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Country | France |
City | Lyon |
Period | 10/15/00 → 10/20/00 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Industrial and Manufacturing Engineering