2005
DOI: 10.1002/scj.20158
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Evaluation of iterative methods for aperture correction in SPECT

Abstract: SUMMARYThis paper uses simulations of numerical phantoms to compare the performance of different iterative-approximation methods of aperture correction in single-photon emission computed tomography (SPECT); aperture correction is employed to remove blurrings in the reconstructed image that are caused by the collimator used to acquire SPECT data. The comparisons take the size of the aperture angle, radius of the detector's rotation, and amount of Poisson noise as parameters, and follow quantitative standards as… Show more

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Cited by 4 publications
(4 citation statements)
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“…Computed Tomography for Gases (CTG) is the task of deriving gas distribution models from localized integral concentration measurements (Bennetts et al, 2014;Byer, 1979;Price et al, 2001). CTG models can be either grid-based or parametric: gridbased approaches estimate the concentrations at each cell from a set of integral concentration measurements (Haruta & Ogawa, 2005;Trincavelli et al, 2012), whereas parametric approaches use, e.g. the integral measurements to fit functional parameters of an analytic function, e.g.…”
Section: Related Workmentioning
confidence: 99%
“…Computed Tomography for Gases (CTG) is the task of deriving gas distribution models from localized integral concentration measurements (Bennetts et al, 2014;Byer, 1979;Price et al, 2001). CTG models can be either grid-based or parametric: gridbased approaches estimate the concentrations at each cell from a set of integral concentration measurements (Haruta & Ogawa, 2005;Trincavelli et al, 2012), whereas parametric approaches use, e.g. the integral measurements to fit functional parameters of an analytic function, e.g.…”
Section: Related Workmentioning
confidence: 99%
“…For the iterative reconstruction [14][15][16], we have proposed an analogous two-step deblurring procedure in which the first step is the same, i.e., each projection is deconvolved by the conventional noniterative procedure, but the second step (iterative deconvolution), to suppress the blurring introduced by the lowpass filtering in the first step, is not performed explicitly but is rather merged with the iterative reconstruction procedure itself. The iterative reconstruction algorithm used in this research is multiplicative simultaneous iterative reconstruction technique (MSIRT) [17], and we expect similar results for the other iterative reconstruction techniques. The simulation and EPRI experimental results suggest that the proposed deblurring scheme generates images with substantial improvement in the reconstruction quality for both the FBP and the MSIRT for a variety of imaging parameters including different SNR and gradient strengths.…”
Section: Introductionmentioning
confidence: 56%
“…A detailed comparison of various iterative reconstruction techniques for EPRI is left for further studies. An iteration of MSIRT [17], after taking into account the transfer function, is given by…”
Section: Iterative Reconstructionmentioning
confidence: 99%
“…In the correction of scattered photons we used a model-based method with a scatter response function [17]- [18]. The aperture correction was performed with a method [19] typically used in iterative image reconstruction. And to reduce the effect of quantum noise we used a Butterworth filter.…”
Section: B Performance Of the Spect Systemmentioning
confidence: 99%