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Low-count whole-body PET/MRI restoration: an evaluation of dose reduction spectrum and five state-of-the-art artificial intelligence models
PurposeTo provide a holistic and complete comparison of the five most advanced AI models in the augmentation of low-dose 18 F-FDG PET data over the...
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Low-count whole-body PET with deep learning in a multicenter and externally validated study
More widespread use of positron emission tomography (PET) imaging is limited by its high cost and radiation dose. Reductions in PET scan time or...
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Assessing the impact of different penalty factors of the Bayesian reconstruction algorithm Q.Clear on in vivo low count kinetic analysis of [11C]PHNO brain PET-MR studies
IntroductionQ.Clear is a Bayesian penalised likelihood (BPL) reconstruction algorithm available on General Electric (GE) Positron Emission Tomography...
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Deep generative denoising networks enhance quality and accuracy of gated cardiac PET data
Background:Cardiac positron emission tomography (PET) can visualize and quantify the molecular and physiological pathways of cardiac function....
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Will extended field-of-view PET/CT depopulate the graveyard of failed PET radiopharmaceuticals?
With the rapid emergence of extended Field-of-View PET-cameras several new applications for radiopharmaceuticals become within reach. Main reason is...
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Image Denoising of Low-Dose PET Mouse Scans with Deep Learning: Validation Study for Preclinical Imaging Applicability
PurposePositron emission tomography (PET) image quality can be improved by higher injected activity and/or longer acquisition time, but both may...
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Denoising approaches by SubtlePET™ artificial intelligence in positron emission tomography (PET) for clinical routine application
Positron emission tomography (PET) plays an important role in the diagnosis and surveillance of neoplastic diseases. PET images may show higher noise...
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Extended MRI-based PET motion correction for cardiac PET/MRI
PurposeA 2D image navigator (iNAV) based 3D whole-heart sequence has been used to perform MRI and PET non-rigid respiratory motion correction for...
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A list-mode multi-energy window low-count SPECT reconstruction method for isotopes with multiple emission peaks
BackgroundSingle-photon emission computed tomography (SPECT) provides a mechanism to perform absorbed-dose quantification tasks for
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A review of PET attenuation correction methods for PET-MR
Despite being thirteen years since the installation of the first PET-MR system, the scanners constitute a very small proportion of the total hybrid...
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An extended bore length solid-state digital-BGO PET/CT system: design, preliminary experience, and performance characteristics
PurposeA solid-state PET/CT system uses bismuth germanium oxide (BGO) scintillating crystals coupled to silicon photomultipliers over an extended 32...
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11C-CFT PET brain imaging in Parkinson’s disease using a total-body PET/CT scanner
PurposeThis study aimed to evaluate the feasibility of 11 C-CFT PET brain imaging in Parkinson’s Disease using a total-body PET/CT scanner and...
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Short-axis PET image quality improvement based on a uEXPLORER total-body PET system through deep learning
PurposeThe axial field of view (AFOV) of a positron emission tomography (PET) scanner greatly affects the quality of PET images. Although a...
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Artificial intelligence guided enhancement of digital PET: scans as fast as CT?
PurposeBoth digital positron emission tomography (PET) detector technologies and artificial intelligence based image post-reconstruction methods...
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Generalization of deep learning models for ultra-low-count amyloid PET/MRI using transfer learning
PurposeWe aimed to evaluate the performance of deep learning-based generalization of ultra-low-count amyloid PET/MRI enhancement when applied to...
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A proper protocol for routine 18F-FDG uEXPLORER total-body PET/CT scans
BackgroundConventional clinical PET scanners typically have an axial field of view (AFOV) of 15–30 cm, resulting in limited coverage and relatively...
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Deep learning-based PET image denoising and reconstruction: a review
This review focuses on positron emission tomography (PET) imaging algorithms and traces the evolution of PET image reconstruction methods. First, we...
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Employing Multiple Low-Dose PET Images (at Different Dose Levels) as Prior Knowledge to Predict Standard-Dose PET Images
The existing deep learning-based denoising methods predicting standard-dose PET images (S-PET) from the low-dose versions (L-PET) solely rely on a...
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Assessment of cerebral drug occupancy in humans using a single PET-scan: A [11C]UCB-J PET study
PurposeHere, we evaluate a PET displacement model with a Single-step and Numerical solution in healthy individuals using the synaptic vesicle...
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The value of 18F-FDG PET/CT in Langerhans cell histiocytosis
ObjectiveTo investigate the value of 18F-FDG PET/CT in diagnosis and disease evaluation of Langerhans cell histiocytosis (LCH).
Methods ...