Advances in PET imaging of cancer

J Schwenck, D Sonanini, JM Cotton… - Nature Reviews …, 2023 - nature.com
Molecular imaging has experienced enormous advancements in the areas of imaging
technology, imaging probe and contrast development, and data quality, as well as machine …

First total-body kinetic modeling and parametric imaging of dynamic 68Ga-FAPI-04 PET in pancreatic and gastric cancer

R Chen, X Yang, YL Ng, X Yu, Y Huo… - Journal of Nuclear …, 2023 - Soc Nuclear Med
Fibroblast activation protein inhibitor (FAPI) is an ideal diagnostic and therapeutic target in
malignant tumors. However, the knowledge of kinetic modeling and parametric imaging of …

MPGAN: Multi Pareto Generative Adversarial Network for the denoising and quantitative analysis of low-dose PET images of human brain

Y Fu, S Dong, Y Huang, M Niu, C Ni, L Yu, K Shi… - Medical Image …, 2024 - Elsevier
Positron emission tomography (PET) imaging is widely used in medical imaging for
analyzing neurological disorders and related brain diseases. Usually, full-dose imaging for …

A cycle-consistent adversarial network for brain PET partial volume correction without prior anatomical information

A Sanaat, H Shooli, AS Böhringer, M Sadeghi… - European Journal of …, 2023 - Springer
Purpose Partial volume effect (PVE) is a consequence of the limited spatial resolution of PET
scanners. PVE can cause the intensity values of a particular voxel to be underestimated or …

Self-supervised pre-training for deep image prior-based robust pet image denoising

Y Onishi, F Hashimoto, K Ote… - … on Radiation and …, 2023 - ieeexplore.ieee.org
Deep image prior (DIP) has been successfully applied to positron emission tomography
(PET) image restoration, enabling represent implicit prior using only convolutional neural …

[HTML][HTML] Deep learning-based partial volume correction in standard and low-dose positron emission tomography-computed tomography imaging

MS Azimi, A Kamali-Asl, MR Ay… - … Imaging in Medicine …, 2024 - ncbi.nlm.nih.gov
Background Positron emission tomography (PET) imaging encounters the obstacle of partial
volume effects, arising from its limited intrinsic resolution, giving rise to (I) considerable bias …

Deep denoiser prior driven relaxed iterated Tikhonov method for low-count PET image restoration

W Chang, N D'Ascenzo, E Antonecchia… - Physics in Medicine …, 2024 - iopscience.iop.org
Objective. Low-count positron emission tomography (PET) imaging is an efficient way to
promote more widespread use of PET because of its short scan time and low injected …

Optimization of reconstruction in quantitative brain PET images: Benefits from PSF modeling and correction of edge artifacts

E Verrecchia‐Ramos, M Ginet, O Morel… - Medical …, 2024 - Wiley Online Library
Background Modern PET reconstruction algorithms incorporate point‐spread‐function (PSF)
correction to mitigate partial volume effect. However, PSF correction can introduce edge …

Visualization of small brain nuclei with a high-spatial resolution, clinically available whole-body PET scanner

Y Shinohara, M Ibaraki, K Matsubara, K Sato… - Annals of Nuclear …, 2024 - Springer
Objective To verify the visibility of physiological 18F-fluorodeoxyglucose (18F-FDG) uptake
in nuclei in and around the brainstem by a whole-body (WB) silicon photomultiplier positron …

Deep learning study on the mechanism of edge artifacts in point spread function reconstruction for numerical brain images

H Shinohara, K Hori, T Hashimoto - Annals of Nuclear Medicine, 2023 - Springer
Objective Non-blinded image deblurring with deep learning was performed on blurred
numerical brain images without point spread function (PSF) reconstruction to obtain edge …