Dynamic PET image denoising using deep convolutional neural networks without prior training datasets
Deep learning has attracted growing interest for application to medical imaging, such as
positron emission tomography (PET), due to its excellent performance. Convolutional neural …
positron emission tomography (PET), due to its excellent performance. Convolutional neural …
4D deep image prior: dynamic PET image denoising using an unsupervised four-dimensional branch convolutional neural network
Although convolutional neural networks (CNNs) demonstrate the superior performance in
denoising positron emission tomography (PET) images, a supervised training of the CNN …
denoising positron emission tomography (PET) images, a supervised training of the CNN …
Dynamic PET image denoising using deep image prior combined with regularization by denoising
H Sun, L Peng, H Zhang, Y He, S Cao, L Lu - IEEE Access, 2021 - ieeexplore.ieee.org
The quantitative accuracy of positron emission tomography (PET) is affected by several
factors, including the intrinsic resolution of the imaging system and inherently noisy data …
factors, including the intrinsic resolution of the imaging system and inherently noisy data …
Parametric imaging with PET and SPECT
In molecular imaging modalities such as positron emission tomography (PET) or single
photon emission computed tomography (SPECT), parametric imaging is the process of …
photon emission computed tomography (SPECT), parametric imaging is the process of …
Noise-aware dynamic image denoising and positron range correction for Rubidium-82 cardiac PET imaging via self-supervision
Abstract Rubidium-82 (82 Rb) is a radioactive isotope widely used for cardiac PET imaging.
Despite numerous benefits of 82 Rb, there are several factors that limits its image quality …
Despite numerous benefits of 82 Rb, there are several factors that limits its image quality …
[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 …
An efficient image inpainting algorithm based on a modified Gray–Scott model
J Wang, X Wu, H Xu, J Kim - Signal Processing, 2024 - Elsevier
In this paper, we proposes an image inpainting algorithm based on the modified Gray–Scott
(GS) model. We have added a fidelity term to control the edge and stability of pixel value …
(GS) model. We have added a fidelity term to control the edge and stability of pixel value …
Denoising of dynamic sinogram by image guided filtering for positron emission tomography
In order to improve the denoising performance in positron emission tomography (PET)
images, various smoothing filters have been applied. Recent reports on PET denoising …
images, various smoothing filters have been applied. Recent reports on PET denoising …
Kinetics-induced block matching and 5-D transform domain filtering for dynamic PET image denoising
Dynamic positron emission tomography (PET) scans of short-time frames are required to
quantitatively estimate the uptake of PET ligands. Because such short-frame scans tend to …
quantitatively estimate the uptake of PET ligands. Because such short-frame scans tend to …
Denoising PET images for proton therapy using a residual U-net
A Sano, T Nishio, T Masuda… - Biomedical Physics & …, 2021 - iopscience.iop.org
The use of proton therapy has the advantage of high dose concentration as it is possible to
concentrate the dose on the tumor while suppressing damage to the surrounding normal …
concentrate the dose on the tumor while suppressing damage to the surrounding normal …