AIMC Topic: Positron-Emission Tomography
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NAVIGATOR: an Italian regional imaging biobank to promote precision medicine for oncologic patients.
European radiology experimental
Nov 8, 2022
NAVIGATOR is an Italian regional project boosting precision medicine in oncology with the aim of making it more predictive, preventive, and personalised by advancing translational research based on quantitative imaging and integrative omics analyses....
Prediction Model of Residual Neural Network for Pathological Confirmed Lymph Node Metastasis of Ovarian Cancer.
BioMed research international
Oct 11, 2022
PURPOSE: We want to develop a model for predicting lymph node status based on positron emission computed tomography (PET) images of untreated ovarian cancer patients. We use the feature map formed by wavelet transform and the parameters obtained by i...
Applying deep learning attenuation correction in the presence of motion.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Oct 7, 2022
Using domain knowledge for robust and generalizable deep learning-based CT-free PET attenuation and scatter correction.
Nature communications
Oct 6, 2022
Despite the potential of deep learning (DL)-based methods in substituting CT-based PET attenuation and scatter correction for CT-free PET imaging, a critical bottleneck is their limited capability in handling large heterogeneity of tracers and scanne...
Development of a deep learning network for Alzheimer's disease classification with evaluation of imaging modality and longitudinal data.
Physics in medicine and biology
Sep 30, 2022
. Neuroimaging uncovers important information about disease in the brain. Yet in Alzheimer's disease (AD), there remains a clear clinical need for reliable tools to extract diagnoses from neuroimages. Significant work has been done to develop deep le...
Breast PET/MRI Hybrid Imaging and Targeted Tracers.
Journal of magnetic resonance imaging : JMRI
Sep 27, 2022
The recent introduction of hybrid positron emission tomography/magnetic resonance imaging (PET/MRI) as a promising imaging modality for breast cancer assessment has prompted fervent research activity on its clinical applications. The current knowledg...
Deep Learning for Explainable Estimation of Mortality Risk From Myocardial Positron Emission Tomography Images.
Circulation. Cardiovascular imaging
Sep 20, 2022
BACKGROUND: We aim to develop an explainable deep learning (DL) network for the prediction of all-cause mortality directly from positron emission tomography myocardial perfusion imaging flow and perfusion polar map data and evaluate it using prospect...
Direct mapping from PET coincidence data to proton-dose and positron activity using a deep learning approach.
Physics in medicine and biology
Sep 15, 2022
. Obtaining the intrinsic dose distributions in particle therapy is a challenging problem that needs to be addressed by imaging algorithms to take advantage of secondary particle detectors. In this work, we investigate the utility of deep learning me...
Deep-TOF-PET: Deep learning-guided generation of time-of-flight from non-TOF brain PET images in the image and projection domains.
Human brain mapping
Sep 10, 2022
We aim to synthesize brain time-of-flight (TOF) PET images/sinograms from their corresponding non-TOF information in the image space (IS) and sinogram space (SS) to increase the signal-to-noise ratio (SNR) and contrast of abnormalities, and decrease ...
Mapping the association between tau-PET and Aβ-amyloid-PET using deep learning.
Scientific reports
Aug 30, 2022
In Alzheimer's disease, the molecular pathogenesis of the extracellular Aβ-amyloid (Aβ) instigation of intracellular tau accumulation is poorly understood. We employed a high-resolution PET scanner, with low detection thresholds, to examine the Aβ-ta...
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