Detector response models for statistical iterative image reconstruction in high resolution PET

Selivanov, V.; Picard, Y. J.; Cadorette, J.; Rodrigue, S.; Lecomte, Roger

doi:10.1109/23.856565

Cited by 114 publications

(46 citation statements)

References 18 publications

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“…(a) Analytic models: Lecomte et al 73 and a number of subsequent works, [74][75][76][77][78] involving further refinements, applications, and comparisons used an analytic model of intercrystal penetration determined by the angle of incidence. This was followed by an analytic model of radial blurring in the coincidence aperture function; i.e., to extend individual detector blurring to that of radial blurring for detector pairs in coincidence.…”

Section: Iiia2 Projection-space Modelingmentioning

confidence: 99%

Resolution modeling in PET imaging: Theory, practice, benefits, and pitfalls

2013

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In this paper, the authors review the field of resolution modeling in positron emission tomography (PET) image reconstruction, also referred to as point-spread-function modeling. The review includes theoretical analysis of the resolution modeling framework as well as an overview of various approaches in the literature. It also discusses potential advantages gained via this approach, as discussed with reference to various metrics and tasks, including lesion detection observer studies. Furthermore, attention is paid to issues arising from this approach including the pervasive problem of edge artifacts, as well as explanation and potential remedies for this phenomenon. Furthermore, the authors emphasize limitations encountered in the context of quantitative PET imaging, wherein increased intervoxel correlations due to resolution modeling can lead to significant loss of precision (reproducibility) for small regions of interest, which can be a considerable pitfall depending on the task of interest.

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Section: Iiia2 Projection-space Modelingmentioning

confidence: 99%

Resolution modeling in PET imaging: Theory, practice, benefits, and pitfalls

2013

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“…Interesting analytic 2D models taking into account the linear attenuation of a beam of gamma-rays impinging on a crystal scintillator have been proposed in Lecomte et al (1984), Schmitt et al (1988), Karuta & Lecomte (1992) and Selivanov et al (2000). These models have been further developed and adapted for multilayer small-diameter PET scanners in Strul et al (2003).…”

Section: System Matrixmentioning

confidence: 99%

Free Software for PET Imaging

Prieta¹

2012

Positron Emission Tomography - Current Clinical and Research Aspects

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“…Improved system models, with varying levels of complexity, have been successfully applied to high-resolution small animal PET systems. [1][2][3][4][5][6] The previous research described spatially variant system response in terms of coincident aperture functions, 7 system kernels, 1 detector response functions, 2 and detector blurring terms.…”

Section: Introductionmentioning

confidence: 99%

Improved quantitation for PET/CT image reconstruction with system modeling and anatomical priors

2005

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Accurate quantitation of PET tracer uptake levels in small tumors remains a challenge. This work uses an improved reconstruction algorithm to reduce the quantitative errors due to limited system resolution and due to necessary image noise reduction. We propose a method for finding and using the detection system response in the projection matrix of a statistical reconstruction algorithm. In addition we use aligned anatomical information, available in PET/CT scanners, to govern the penalty term applied during each image update. These improvements are combined with FORE rebinning in a clinically feasible algorithm for reconstructing fully 3D PET data. Simulated results show improved tumor bias and variance characteristics with the new algorithm.

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Detector response models for statistical iterative image reconstruction in high resolution PET

Cited by 114 publications

References 18 publications

Resolution modeling in PET imaging: Theory, practice, benefits, and pitfalls

Resolution modeling in PET imaging: Theory, practice, benefits, and pitfalls

Free Software for PET Imaging

Improved quantitation for PET/CT image reconstruction with system modeling and anatomical priors

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