Evaluation of the spatial dependence of the point spread function in 2D PET image reconstruction using LOR‐OSEM

Wiant, D; Gersh, J; Bennett, Michael; Bourland, J. Daniel

doi:10.1118/1.3310381

Cited by 24 publications

(25 citation statements)

References 48 publications

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“…This happens because of the increased incidence angles at the crystal faces [14]. Consequently, the PSF's size and form change along the radial or axial directions [3], [6], [15].…”

Section: Results: Scanner-related Influencesmentioning

confidence: 97%

Investigation of image resolution effects in maximum-likelihood TOF PET reconstruction

Ispiryan

Matej

2012

2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)

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The resolution properties of images created via maximum-likelihood reconstruction are affected by the recon struction parameters, and data and object characteristics as well, due to the non-linear nature of the maximum-likelihood (ML) algorithm. In most cases, the influence of these factors cannot be estimated analytically. We have studied these effects in the 3D TOF PET (three-dimensional time-of-flight positron emission tomography) statistical reconstructions by evaluating point spread functions (PSF) in the reconstructed images for simulated point sources positioned within uniform backgrounds of various properties (size, activity, attenuation) and employing various parameters and detector's line-of-response (LOR) res olution models within maximum-likelihood reconstructions. We have evaluated the shape and the full width at half maximum (FWHM) of the reconstructed point source images, convergence speeds, and stability of the reconstructions. Among the most important influences affecting the resolution and convergence speed of the reconstruction have been found to be: the voxel size, the local contrast level near the point source and the width of the LOR resolution model used in the reconstruction. Furthermore, reconstructions of point sources in a non-zero background (that is, not in air) take a very long time to converge to their ultimate shape, and especially so if utilizing resolution modeling within the reconstruction. The main contribution of this work is a systematic study of various effects and influences on the properties (mainly convergence speed and FWHM) of the resolution functions obtained via ML reconstruction. Results of this study provide a better understanding of individual influences on the ML reconstruction resolution properties and provide guidance for development of image-based resolution modeling.

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“…This happens because of the increased incidence angles at the crystal faces [14]. Consequently, the PSF's size and form change along the radial or axial directions [3], [6], [15].…”

Section: Results: Scanner-related Influencesmentioning

confidence: 97%

Investigation of image resolution effects in maximum-likelihood TOF PET reconstruction

Ispiryan

Matej

2012

2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)

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“…Baseline 18 F-FDG uptake in tumor-bearing mice was determined before and after 1A12 treatment. The percentage mean ID/g tissue of 18 F-FDG uptake was calculated using the OSEM2D method upon normalization of injected dose (43), and the percentage change at day 2 relative to day 0 was determined for each tumor site.…”

Section: Resultsmentioning

confidence: 99%

Syntheses and Discovery of a Novel Class of Cinnamic Hydroxamates as Histone Deacetylase Inhibitors by Multimodality Molecular Imaging in Living Subjects

Chan

Smith

et al. 2014

Cancer Research

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Histone deacetylases (HDAC) that regulate gene expression are being explored as cancer therapeutic targets. In this study, we focused on HDAC6 based on its ability to inhibit cancerous Hsp90 chaperone activities by disrupting Hsp90/p23 interactions. To identify novel HDAC6 inhibitors, we used a dual-luciferase reporter system in cell culture and living mice by bioluminescence imaging (BLI). On the basis of existing knowledge, a library of hydrazone compounds was generated for screening by coupling cinnamic hydroxamates with aldehydes and ketones. Potency and selectivity were determined by in vitro HDAC profiling assays, with further evaluation to inhibit Hsp90(α/β)/p23 interactions by BLI. In this manner, we identified compound 1A12 as a dose-dependent inhibitor of Hsp90(α/β)/p23 interactions, UKE-1 myeloid cell proliferation, p21waf1 upregulation, and acetylated histone H3 levels. 1A12 was efficacious in tumor xenografts expressing Hsp90(α)/p23 reporters relative to carrier control–treated mice as determined by BLI. Small animal 18F-FDG PET/CT imaging on the same cohort showed that 1A12 also inhibited glucose metabolism relative to control subjects. Ex vivo analyses of tumor lysates showed that 1A12 administration upregulated acetylated-H3 by approximately 3.5-fold. Taken together, our results describe the discovery and initial preclinical validation of a novel selective HDAC inhibitor.

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“…The resulting operation, referred to as kernel superposition (KS), variable kernel convolution, or convolution using a spatially-varying point spread function, appears in many different fields. Examples include radiotherapy dose calculation, both using photons [1] and charged particles [13], ultrasound imaging [19], computed tomography [16,14], positron emission tomography [28], photography [5,15], astronomy [6,2], and microscopy [23]. …”

Section: Kernel Superposition Vs Convolutionmentioning

confidence: 99%

Efficient scatter-based kernel superposition on GPU

Silva

Ansorge

Jena

2015

Journal of Parallel and Distributed Computing

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Evaluation of the spatial dependence of the point spread function in 2D PET image reconstruction using LOR‐OSEM

Cited by 24 publications

References 48 publications

Investigation of image resolution effects in maximum-likelihood TOF PET reconstruction

Investigation of image resolution effects in maximum-likelihood TOF PET reconstruction

Syntheses and Discovery of a Novel Class of Cinnamic Hydroxamates as Histone Deacetylase Inhibitors by Multimodality Molecular Imaging in Living Subjects

Efficient scatter-based kernel superposition on GPU

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