Artificial intelligence in nuclear medicine: opportunities, challenges, and responsibilities toward a trustworthy ecosystem
Trustworthiness is a core tenet of medicine. The patient–physician relationship is evolving
from a dyad to a broader ecosystem of health care. With the emergence of artificial …
from a dyad to a broader ecosystem of health care. With the emergence of artificial …
Artificial intelligence in lymphoma PET imaging: a scoping review (current trends and future directions)
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List-mode PET image reconstruction using deep image prior
List-mode positron emission tomography (PET) image reconstruction is an important tool for
PET scanners with many lines-of-response and additional information such as time-of-flight …
PET scanners with many lines-of-response and additional information such as time-of-flight …
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 provide an overview of …
the evolution of PET image reconstruction methods. First, we provide an overview of …
FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising
Low-count PET is an efficient way to reduce radiation exposure and acquisition time, but the
reconstructed images often suffer from low signal-to-noise ratio (SNR), thus affecting …
reconstructed images often suffer from low signal-to-noise ratio (SNR), thus affecting …
Fully 3D implementation of the end-to-end deep image prior-based PET image reconstruction using block iterative algorithm
Objective. Deep image prior (DIP) has recently attracted attention owing to its unsupervised
positron emission tomography (PET) image reconstruction method, which does not require …
positron emission tomography (PET) image reconstruction method, which does not require …
A third of the radiotracer dose: two decades of progress in pediatric [18F]fluorodeoxyglucose PET/CT and PET/MR imaging
S Waelti, S Skawran, T Sartoretti, M Schwyzer… - European …, 2024 - Springer
Objectives To assess the evolution of administered radiotracer activity for F-18-
fluorodeoxyglucose (18F-FDG) PET/CT or PET/MR in pediatric patients (0–16 years) …
fluorodeoxyglucose (18F-FDG) PET/CT or PET/MR in pediatric patients (0–16 years) …
DAEGAN: Generative adversarial network based on dual-domain attention-enhanced encoder-decoder for low-dose PET imaging
S Chen, X Tian, Y Wang, Y Song, Y Zhang… - … Signal Processing and …, 2023 - Elsevier
Background Positron emission tomography (PET) is a valuable medical imaging modality
utilized in both clinical and preclinical settings. There is a growing concern regarding the …
utilized in both clinical and preclinical settings. There is a growing concern regarding the …
Deep kernel representation for image reconstruction in PET
Image reconstruction for positron emission tomography (PET) is challenging because of the
ill-conditioned tomographic problem and low counting statistics. Kernel methods address …
ill-conditioned tomographic problem and low counting statistics. Kernel methods address …
Advances in preclinical PET
SS Adler, J Seidel, PL Choyke - Seminars in nuclear medicine, 2022 - Elsevier
The classical intent of PET imaging is to obtain the most accurate estimate of the amount of
positron-emitting radiotracer in the smallest possible volume element located anywhere in …
positron-emitting radiotracer in the smallest possible volume element located anywhere in …