ArticlePhysics in medicine and biology2013
Noise propagation in resolution modeled PET imaging and its impact on detectability.
Article in Physics in medicine and biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Context-specific image quality assessment for virtual histologic staining: checklist and guideline.Journal of medical imaging (Bellingham, Wash.) · 2026Article
- Numerical investigation reveals challenges in measuring the contrast recovery coefficients in PET.Physics in medicine and biology · 2023Article
- Synthetic PET via Domain Translation of 3-D MRI.IEEE transactions on radiation and plasma medical sciences · 2023Article
- Characterization of time of flight and resolution modeling on image quality in positron emission tomography.Journal of applied clinical medical physics · 2022Article
- Harmonization of PET image reconstruction parameters in simultaneous PET/MRI.EJNMMI physics · 2021Article
- Voxel-based partial volume correction of PET images via subtle MRI guided non-local means regularization.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2021Article
- Noise heterogeneity in attenuation-corrected cardiac SPECT images increases perfusion value uncertainty near the base of the heart.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021Article
- The role of activity, scan duration and patient's body mass index in the optimization of FDG imaging protocols on a TOF-PET/CT scanner.EJNMMI physics · 2021Article
- The impact of iterative reconstruction protocol, signal-to-background ratio and background activity on measurement of PET spatial resolution.Japanese journal of radiology · 2020Article
- Article
- Sensitivity ofEJNMMI research · 2019Article
- Impact of image reconstruction methods on quantitative accuracy and variability of FDG-PET volumetric and textural measures in solid tumors.European radiology · 2019Article
- Time-of-flight in cardiac PET/TC: What do we know and what we should know?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018Article
- Understanding the impact of advanced PET reconstruction in cardiac PET: The devil is in the details.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018Article
- Point-spread function reconstructed PET images of sub-centimeter lesions are not quantitative.EJNMMI physics · 2017Article
- Preconditioned alternating projection algorithm for solving the penalized-likelihood SPECT reconstruction problem.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2017Article
- Comparative analysis of iterative reconstruction algorithms with resolution recovery and time of flight modeling forJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2017Article
- Whole-body direct 4D parametric PET imaging employing nested generalized Patlak expectation-maximization reconstruction.Physics in medicine and biology · 2016Article
- Effective noise-suppressed and artifact-reduced reconstruction of SPECT data using a preconditioned alternating projection algorithm.Medical physics · 2015Article
- Anatomy-guided brain PET imaging incorporating a joint prior model.Physics in medicine and biology · 2015Article
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2 authors.
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Abstract
Positron emission tomography imaging is affected by a number of resolution degrading phenomena, including positron range, photon non-collinearity and inter-crystal blurring. An approach to this issue is to model some or all of these effects within the image reconstruction task, referred to as resolution modeling (RM). This approach is commonly observed to yield images of higher resolution and subsequently contrast, and can be thought of as improving the modulation transfer function. Nonetheless, RM can substantially alter the noise distribution. In this work, we utilize noise propagation models in order to accurately characterize the noise texture of reconstructed images in the presence of RM. Furthermore we consider the task of lesion or defect detection, which is highly determined by the noise distribution as quantified using the noise power spectrum. Ultimately, we use this framework to demonstrate why conventional trade-off analyses (e.g. contrast versus noise, using simplistic noise metrics) do not provide a complete picture of the impact of RM and that improved performance of RM according to such analyses does not necessarily translate to the superiority of RM in detection task performance.
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