[HTML][HTML] The promise of artificial intelligence and deep learning in PET and SPECT imaging
This review sets out to discuss the foremost applications of artificial intelligence (AI),
particularly deep learning (DL) algorithms, in single-photon emission computed tomography …
particularly deep learning (DL) algorithms, in single-photon emission computed tomography …
A review of PET attenuation correction methods for PET-MR
Despite being thirteen years since the installation of the first PET-MR system, the scanners
constitute a very small proportion of the total hybrid PET systems installed. This is in stark …
constitute a very small proportion of the total hybrid PET systems installed. This is in stark …
Deep-JASC: joint attenuation and scatter correction in whole-body 18F-FDG PET using a deep residual network
Objective We demonstrate the feasibility of direct generation of attenuation and scatter-
corrected images from uncorrected images (PET-nonASC) using deep residual networks in …
corrected images from uncorrected images (PET-nonASC) using deep residual networks in …
Quantitative PET in the 2020s: a roadmap
Positron emission tomography (PET) plays an increasingly important role in research and
clinical applications, catalysed by remarkable technical advances and a growing …
clinical applications, catalysed by remarkable technical advances and a growing …
Novel adversarial semantic structure deep learning for MRI-guided attenuation correction in brain PET/MRI
Abstract Objective Quantitative PET/MR imaging is challenged by the accuracy of synthetic
CT (sCT) generation from MR images. Deep learning-based algorithms have recently …
CT (sCT) generation from MR images. Deep learning-based algorithms have recently …
Time of flight in perspective: instrumental and computational aspects of time resolution in positron emission tomography
The first time-of-flight positron emission tomography (TOF-PET) scanners were developed
as early as in the 1980s. However, the poor light output and low detection efficiency of TOF …
as early as in the 1980s. However, the poor light output and low detection efficiency of TOF …
Deep learning-based attenuation map generation with simultaneously reconstructed PET activity and attenuation and low-dose application
Objective. In PET/CT imaging, CT is used for positron emission tomography (PET)
attenuation correction (AC). CT artifacts or misalignment between PET and CT can cause …
attenuation correction (AC). CT artifacts or misalignment between PET and CT can cause …
A quantitative evaluation of joint activity and attenuation reconstruction in TOF PET/MR brain imaging
Time-of-flight (TOF) PET data provide an effective means for attenuation correction (AC)
when no (or incomplete or inaccurate) attenuation information is available. Since MR …
when no (or incomplete or inaccurate) attenuation information is available. Since MR …
Deep learning–based attenuation correction for whole-body PET — a multi-tracer study with 18F-FDG, 68 Ga-DOTATATE, and 18F-Fluciclovine
A novel deep learning (DL)-based attenuation correction (AC) framework was applied to
clinical whole-body oncology studies using 18F-FDG, 68 Ga-DOTATATE, and 18F …
clinical whole-body oncology studies using 18F-FDG, 68 Ga-DOTATATE, and 18F …
PET/MRI attenuation estimation in the lung: a review of past, present, and potential techniques
Positron emission tomography/magnetic resonance imaging (PET/MRI) potentially offers
several advantages over positron emission tomography/computed tomography (PET/CT), for …
several advantages over positron emission tomography/computed tomography (PET/CT), for …