ArticlePhysics in medicine and biology2016
On the assessment of spatial resolution of PET systems with iterative image reconstruction.
Article in Physics in medicine and biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed.
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- Performance Evaluation of SmartBrain: A Wearable PET System for Human Brain Imaging.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026Article
- Characterization and Initial Optimization of Reconstruction Performance for Detector Crosstalk of Ultrahigh Performance Brain PET Imager.IEEE transactions on radiation and plasma medical sciences · 2026Article
- Design and first experimental results of an edgeless PET prototype for breast imaging: DeepBreast.EJNMMI physics · 2026Article
- Time-of-Flight Requirements to Mitigate Blurring Induced by Annihilation Photon Acollinearity.IEEE transactions on radiation and plasma medical sciences · 2026Article
- Impact of detector parameters and image resolution modeling on dedicated brain PET imaging.IEEE transactions on radiation and plasma medical sciences · 2025Article
- Performance evaluation of the ACTIVE 7 MAX benchtop preclinical PET scanner in accordance with the NEMA NU 4-2008 standard.EJNMMI physics · 2025Article
- Understanding nonlinearity in statistical image reconstruction for nuclear medicine.Radiological physics and technology · 2025Article
- Development and Initial Evaluation of 3D-printed High Resolution Brain Phantom for PET.IEEE transactions on radiation and plasma medical sciences · 2025Article
- Performance evaluation of a medium axial field-of-view sparse PET system based on flat panels of monolithic LYSO detectors: a simulation study.EJNMMI physics · 2025Article
- On the partial volume effect in magnetic particle imaging.Physics in medicine and biology · 2025Article
- On the implementation of acollinearity in PET Monte Carlo simulations.Physics in medicine and biology · 2024Article
- Design Optimisation of a Flat-Panel, Limited-Angle TOF-PET Scanner: A Simulation Study.Diagnostics (Basel, Switzerland) · 2024Article
- Performance Characteristics of the NeuroEXPLORER, a Next-Generation Human Brain PET/CT Imager.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- SPLIT: Statistical Positronium Lifetime Image Reconstruction via Time-Thresholding.IEEE transactions on medical imaging · 2024Article
- Performance characteristics of the 5-ring GE Discovery MI PET/CT scanner using AAPM TG-126 report.Journal of applied clinical medical physics · 2024Article
- Optimisation of the air fraction correction for lung PET/CT: addressing resolution mismatch.EJNMMI physics · 2023Article
- Submillimeter-Resolution PET for High-Sensitivity Mouse Brain Imaging.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023Article
- Optimum selection for multi-interaction events in Compton-PET hybrid reconstruction: a Monte Carlo study.Radiological physics and technology · 2023Article
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3 authors.
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Abstract
Spatial resolution is an important metric for performance characterization in PET systems. Measuring spatial resolution is straightforward with a linear reconstruction algorithm, such as filtered backprojection, and can be performed by reconstructing a point source scan and calculating the full-width-at-half-maximum (FWHM) along the principal directions. With the widespread adoption of iterative reconstruction methods, it is desirable to quantify the spatial resolution using an iterative reconstruction algorithm. However, the task can be difficult because the reconstruction algorithms are nonlinear and the non-negativity constraint can artificially enhance the apparent spatial resolution if a point source image is reconstructed without any background. Thus, it was recommended that a background should be added to the point source data before reconstruction for resolution measurement. However, there has been no detailed study on the effect of the point source contrast on the measured spatial resolution. Here we use point source scans from a preclinical PET scanner to investigate the relationship between measured spatial resolution and the point source contrast. We also evaluate whether the reconstruction of an isolated point source is predictive of the ability of the system to resolve two adjacent point sources. Our results indicate that when the point source contrast is below a certain threshold, the measured FWHM remains stable. Once the contrast is above the threshold, the measured FWHM monotonically decreases with increasing point source contrast. In addition, the measured FWHM also monotonically decreases with iteration number for maximum likelihood estimate. Therefore, when measuring system resolution with an iterative reconstruction algorithm, we recommend using a low-contrast point source and a fixed number of iterations.
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