Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation

D Visvikis, P Lambin, K Beuschau Mauridsen… - European journal of …, 2022 - Springer
Artificial intelligence (AI) will change the face of nuclear medicine and molecular imaging as
it will in everyday life. In this review, we focus on the potential applications of AI in the field …

Positron emission tomography in multiple sclerosis—straight to the target

B Bodini, M Tonietto, L Airas, B Stankoff - Nature reviews Neurology, 2021 - nature.com
Following the impressive progress in the treatment of relapsing–remitting multiple sclerosis
(MS), the major challenge ahead is the development of treatments to prevent or delay the …

First results on kinetic modelling and parametric imaging of dynamic 18F-FDG datasets from a long axial FOV PET scanner in oncological patients

H Sari, C Mingels, I Alberts, J Hu, D Buesser… - European journal of …, 2022 - Springer
Purpose To investigate the kinetics of 18 F-fluorodeoxyglucose (18 F-FDG) by positron
emission tomography (PET) in multiple organs and test the feasibility of total-body …

Total-body PET multiparametric imaging of cancer using a voxelwise strategy of compartmental modeling

G Wang, L Nardo, M Parikh… - Journal of Nuclear …, 2022 - Soc Nuclear Med
Quantitative dynamic PET with compartmental modeling has the potential to enable
multiparametric imaging and more accurate quantification than static PET imaging …

Feasibility of using abbreviated scan protocols with population-based input functions for accurate kinetic modeling of [18F]-FDG datasets from a long axial FOV PET …

H Sari, L Eriksson, C Mingels, I Alberts… - European journal of …, 2023 - Springer
Background Accurate kinetic modeling of 18F-fluorodeoxyglucose ([18F]-FDG) positron
emission tomography (PET) data requires accurate knowledge of the available tracer …

An update on the use of image-derived input functions for human PET studies: new hopes or old illusions?

T Volpi, L Maccioni, M Colpo, G Debiasi, A Capotosti… - EJNMMI research, 2023 - Springer
Background The need for arterial blood data in quantitative PET research limits the wider
usability of this imaging method in clinical research settings. Image-derived input function …

Expert consensus on oncological [18F]FDG total-body PET/CT imaging (version 1)

H Yu, Y Gu, W Fan, Y Gao, M Wang, X Zhu, Z Wu… - European …, 2023 - Springer
Background [18F] FDG imaging on total-body PET/CT (TB PET/CT) scanners, with improved
sensitivity, offers new potentials for cancer diagnosis, staging, and radiation treatment …

Total-body PET kinetic modeling and potential opportunities using deep learning

Y Wang, E Li, SR Cherry, G Wang - PET clinics, 2021 - pet.theclinics.com
PET is a sensitive molecular imaging method that uses radiolabeled tracers to monitor the
biological and physiologic function of the scanned subject in vivo. 1 PET is commonly used …

List-mode PET image reconstruction using deep image prior

K Ote, F Hashimoto, Y Onishi, T Isobe… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

Comparison of parametric imaging and SUV imaging with [68 Ga]Ga-PSMA-11 using dynamic total-body PET/CT in prostate cancer

R Chen, YL Ng, X Yang, Y Zhu, L Li, H Zhao… - European Journal of …, 2024 - Springer
Purpose Standardized uptake value (SUV) has been prevalently used to measure [68 Ga]
Ga-PSMA-11 activity in prostate cancer, but it is susceptible to multiple factors. Parametric …