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 …
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 …
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 …
Empowering PET: harnessing deep learning for improved clinical insight
This review aims to take a journey into the transformative impact of artificial intelligence (AI)
on positron emission tomography (PET) imaging. To this scope, a broad overview of AI …
on positron emission tomography (PET) imaging. To this scope, a broad overview of AI …
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 …
[HTML][HTML] Application of NEMA protocols to verify GATE models based on the Digital Biograph Vision and the Biograph Vision Quadra scanners
MM Peña-Acosta, S Gallardo, M Lorduy-Alós… - … für Medizinische Physik, 2024 - Elsevier
Abstract Purpose The Monte Carlo method is an effective tool to simulate and verify PET
systems. Furthermore, it can help in the design and optimization of new medical imaging …
systems. Furthermore, it can help in the design and optimization of new medical imaging …
AI for PET image reconstruction
Image reconstruction for positron emission tomography (PET) has been developed over
many decades, with advances coming from improved modelling of the data statistics and …
many decades, with advances coming from improved modelling of the data statistics and …
Gaussian Mixture Estimation from Lower-Dimensional Data with Application to PET Imaging
In positron emission tomography (PET), the original points of emission are unknown, and the
scanners record pairs of photons emitting from those origins and creating lines of response …
scanners record pairs of photons emitting from those origins and creating lines of response …
Recent advances in combined Positron Emission Tomography and Magnetic Resonance Imaging
P Galve, B Rodriguez-Vila, JL Herraiz… - Journal of …, 2024 - iopscience.iop.org
Hybrid imaging modalities combine two or more medical imaging techniques offering
exciting new possibilities to image the structure, function and biochemistry of the human …
exciting new possibilities to image the structure, function and biochemistry of the human …
Automated size‐specific dose estimates framework in thoracic CT using convolutional neural network based on U‐Net model
S Ruenjit, P Siricharoen… - Journal of Applied Clinical …, 2024 - Wiley Online Library
Purpose This study aimed to develop an automated method that uses a convolutional neural
network (CNN) for calculating size‐specific dose estimates (SSDEs) based on the corrected …
network (CNN) for calculating size‐specific dose estimates (SSDEs) based on the corrected …