Lecture Notes in Computer Science
DOI: 10.1007/bfb0033740
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SPECT scatter correction in non-homogeneous media

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Cited by 24 publications
(16 citation statements)
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“…It has been s hown, though, that the best value for k depends on the energy of the emitted photons, the object geometry, the widt h and location of the scatter energy window, and the type of attenuating material [43, Some effort has also b e n made to correct for the difference in the spatial distribut ions of the scatter and photopeak window data. The approach taken by Meikle et al [63] was to correct for differences in the spatial distribution of scatter by using a convolution function to convert the spatial distribution of scatter in the Lower energy window into that of the higher energy window. The convolution function is determined empirically using water phantoms and is assumed to be spatially invariant.…”
Section: Reconstruction Filtersmentioning
confidence: 99%
“…It has been s hown, though, that the best value for k depends on the energy of the emitted photons, the object geometry, the widt h and location of the scatter energy window, and the type of attenuating material [43, Some effort has also b e n made to correct for the difference in the spatial distribut ions of the scatter and photopeak window data. The approach taken by Meikle et al [63] was to correct for differences in the spatial distribution of scatter by using a convolution function to convert the spatial distribution of scatter in the Lower energy window into that of the higher energy window. The convolution function is determined empirically using water phantoms and is assumed to be spatially invariant.…”
Section: Reconstruction Filtersmentioning
confidence: 99%
“…[12–13] Therefore, f t and k t in the transmission window are approximately equivalent to those from a source at the center of the object irrespective of the depth. The μd can be replaced by μT/2 , ( f t = a’ + b’ * μT/2 ) in the linear equation and buildup equation (1) can be rewritten as:…”
Section: Methodsmentioning
confidence: 99%
“…In the scatter model, we model the relationship between down-scatter projection and corresponding self-scatter projection. Generally, the down-scatter projection is a blurred version of the self-scatter projection and this blurring can be described as the combination of a δ function and a monoexponential kernel 11,22 as follows:…”
Section: B3 Scatter Model: Relationship Between Down-scatter and mentioning
confidence: 99%