Noise introduced by angular reprojection in tomographic image reconstruction
Tomographic image reconstruction requires redistribution of data collected at different projection angles back into the fixed matrix frame. This process normally produces additional noise on the reconstructed images. Three angular reprojection methods have been investigated in the present study. The direct method reprojects the entire rotated pixel (RP) into the fixed pixel (FP) which contains the center of the RP. It is fast but suffers from high noise level. The weighting method redistributes the RP into a number of FPs with weights proportional to the fractional overlaps of these FPs with a shifted FP whose center is that of the RP. This approach reduces the magnitude of the noise but requires more processing time. The matrix method uses matrix coefficients retrieved from a precalculated data bank to transform RPs into FPs. This method introduces least error but demands substantial memory space. Computer simulation studies have been performed to evaluate these three methods. In general, reprojection noise decreases with the use of more projection angles but appears to be independent from both matrix size and object size. Two models have been developed to describe the standard deviation of the noise in reprojected images. For the direct method, this noise can be regarded as a background noise level proportional to count density, which is added to the Poisson image noise. For the weighting and matrix methods the overall effect is as if the Poisson image noise were smoothed by a pixel size 1.5 times as large in each direction as the pixels actually employed, with a background noise level proportional to count density then superimposed. Noise textures also have been studied by Wiener spectral analysis.
- Research Organization:
- Univ. of Chicago, Chicago, IL
- OSTI ID:
- 6843169
- Report Number(s):
- CONF-850611-
- Journal Information:
- J. Nucl. Med.; (United States), Vol. 26:5; Conference: 32. annual meeting of the Society of Nuclear Medicine, Houston, TX, USA, 2 Jun 1985
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
GENERAL PHYSICS
CAT SCANNING
IMAGE PROCESSING
COMPUTERIZED TOMOGRAPHY
ALGORITHMS
COMPUTERIZED SIMULATION
DISTRIBUTION FUNCTIONS
IMAGES
MATRICES
SIGNAL-TO-NOISE RATIO
WEIGHTING FUNCTIONS
DIAGNOSTIC TECHNIQUES
FUNCTIONS
MATHEMATICAL LOGIC
PROCESSING
SIMULATION
TOMOGRAPHY
657000* - Theoretical & Mathematical Physics