[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 …
Advanced Monte Carlo simulations of emission tomography imaging systems with GATE
Built on top of the Geant4 toolkit, GATE is collaboratively developed for more than 15 years
to design Monte Carlo simulations of nuclear-based imaging systems. It is, in particular …
to design Monte Carlo simulations of nuclear-based imaging systems. It is, in particular …
Physics and technology of time-of-flight PET detectors
DR Schaart - Physics in Medicine & Biology, 2021 - iopscience.iop.org
The imaging performance of clinical positron emission tomography (PET) systems has
evolved impressively during the last∼ 15 years. A main driver of these improvements has …
evolved impressively during the last∼ 15 years. A main driver of these improvements has …
Hybrid total-body pet scanners—current status and future perspectives
Purpose Since the 1990s, PET has been successfully combined with MR or CT systems. In
the past years, especially PET systems have seen a trend towards an enlarged axial field of …
the past years, especially PET systems have seen a trend towards an enlarged axial field of …
Evolution of PET detectors and event positioning algorithms using monolithic scintillation crystals
A Gonzalez-Montoro, AJ Gonzalez… - … on Radiation and …, 2021 - ieeexplore.ieee.org
The use of monolithic scintillator-based photon detectors in positron emission tomography
(PET) has emerged as an attractive alternative to traditional pixelated array designs …
(PET) has emerged as an attractive alternative to traditional pixelated array designs …
Machine learning in PET: from photon detection to quantitative image reconstruction
Machine learning has found unique applications in nuclear medicine from photon detection
to quantitative image reconstruction. Although there have been impressive strides in …
to quantitative image reconstruction. Although there have been impressive strides in …
Sensors for positron emission tomography applications
Positron emission tomography (PET) imaging is an essential tool in clinical applications for
the diagnosis of diseases due to its ability to acquire functional images to help differentiate …
the diagnosis of diseases due to its ability to acquire functional images to help differentiate …
A neural network-based algorithm for simultaneous event positioning and timestamping in monolithic scintillators
Objective. Monolithic scintillator crystals coupled to silicon photomultiplier (SiPM) arrays are
promising detectors for PET applications, offering spatial resolution around 1 mm and depth …
promising detectors for PET applications, offering spatial resolution around 1 mm and depth …
Histopathological biomarkers for predicting the tumour accumulation of nanomedicines
The clinical prospects of cancer nanomedicines depend on effective patient stratification.
Here we report the identification of predictive biomarkers of the accumulation of …
Here we report the identification of predictive biomarkers of the accumulation of …
A semi‐monolithic detector providing intrinsic DOI‐encoding and sub‐200 ps CRT TOF‐capabilities for clinical PET applications
Background Current clinical positron emission tomography (PET) systems utilize detectors
where the scintillator typically contains single elements of 3–6‐mm width and about 20‐mm …
where the scintillator typically contains single elements of 3–6‐mm width and about 20‐mm …