A deep neural network for parametric image reconstruction on a large axial field-of-view PET
Purpose The PET scanners with long axial field of view (AFOV) having~ 20 times higher
sensitivity than conventional scanners provide new opportunities for enhanced parametric …
sensitivity than conventional scanners provide new opportunities for enhanced parametric …
An encoder-decoder network for direct image reconstruction on sinograms of a long axial field of view PET
Purpose Deep learning is an emerging reconstruction method for positron emission
tomography (PET), which can tackle complex PET corrections in an integrated procedure …
tomography (PET), which can tackle complex PET corrections in an integrated procedure …
CT-guided PET parametric image reconstruction using deep neural network without prior training data
Deep neural networks have attracted growing interests in medical image due to its success
in computer vision tasks. One barrier for the application of deep neural networks is the need …
in computer vision tasks. One barrier for the application of deep neural networks is the need …
Parametric image generation with the uEXPLORER total-body PET/CT system through deep learning
Purpose Total-body dynamic positron emission tomography/computed tomography
(PET/CT) provides much sensitivity for clinical imaging and research, bringing new …
(PET/CT) provides much sensitivity for clinical imaging and research, bringing new …
Direct reconstruction of linear parametric images from dynamic PET using nonlocal deep image prior
Direct reconstruction methods have been developed to estimate parametric images directly
from the measured PET sinograms by combining the PET imaging model and tracer kinetics …
from the measured PET sinograms by combining the PET imaging model and tracer kinetics …
Direct inference of Patlak parametric images in whole-body PET/CT imaging using convolutional neural networks
Purpose This study proposed and investigated the feasibility of estimating Patlak-derived
influx rate constant (K i) from standardized uptake value (SUV) and/or dynamic PET image …
influx rate constant (K i) from standardized uptake value (SUV) and/or dynamic PET image …
Anatomically aided PET image reconstruction using deep neural networks
Purpose The developments of PET/CT and PET/MR scanners provide opportunities for
improving PET image quality by using anatomical information. In this paper, we propose a …
improving PET image quality by using anatomical information. In this paper, we propose a …
[HTML][HTML] LCPR-Net: low-count PET image reconstruction using the domain transform and cycle-consistent generative adversarial networks
H Xue, Q Zhang, S Zou, W Zhang, C Zhou… - … imaging in medicine …, 2021 - ncbi.nlm.nih.gov
Background Reducing the radiation tracer dose and scanning time during positron emission
tomography (PET) imaging can reduce the cost of the tracer, reduce motion artifacts, and …
tomography (PET) imaging can reduce the cost of the tracer, reduce motion artifacts, and …
Short-axis PET image quality improvement based on a uEXPLORER total-body PET system through deep learning
Purpose The axial field of view (AFOV) of a positron emission tomography (PET) scanner
greatly affects the quality of PET images. Although a total-body PET scanner (uEXPLORER) …
greatly affects the quality of PET images. Although a total-body PET scanner (uEXPLORER) …
Artificial intelligence guided enhancement of digital PET: scans as fast as CT?
Purpose Both digital positron emission tomography (PET) detector technologies and artificial
intelligence based image post-reconstruction methods allow to reduce the PET acquisition …
intelligence based image post-reconstruction methods allow to reduce the PET acquisition …