AIMC Topic: Positron-Emission Tomography
Clear Filters Showing 261 to 270 of 503 articles
The promise of artificial intelligence and deep learning in PET and SPECT imaging.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Mar 22, 2021
This review sets out to discuss the foremost applications of artificial intelligence (AI), particularly deep learning (DL) algorithms, in single-photon emission computed tomography (SPECT) and positron emission tomography (PET) imaging. To this end, ...
Automated assessment of the substantia nigra on susceptibility map-weighted imaging using deep convolutional neural networks for diagnosis of Idiopathic Parkinson's disease.
Parkinsonism & related disorders
Mar 17, 2021
OBJECTIVES: Despite its use in determining nigrostriatal degeneration, the lack of a consistent interpretation of nigrosome 1 susceptibility map-weighted imaging (SMwI) limits its generalized applicability. To implement and evaluate a diagnostic algo...
Parkinson Disease, Secondary
Dopamine Plasma Membrane Transport Proteins
Image Interpretation, Computer-Assisted
Substantia Nigra
Tropanes
Aged
Male
Middle Aged
Parkinson Disease
Positron-Emission Tomography
Deep Learning
Magnetic Resonance Imaging
Retrospective Studies
Female
Humans
Reproducibility of Results
Quantitative PET in the 2020s: a roadmap.
Physics in medicine and biology
Mar 12, 2021
Positron emission tomography (PET) plays an increasingly important role in research and clinical applications, catalysed by remarkable technical advances and a growing appreciation of the need for reliable, sensitive biomarkers of human function in h...
Neoplasms
Imaging, Three-Dimensional
Image Processing, Computer-Assisted
Systems Biology
Artificial Intelligence
Humans
Prognosis
Tomography, X-Ray Computed
Positron-Emission Tomography
Positron Emission Tomography Computed Tomography
History, 21st Century
Medical Oncology
Kinetics
History, 20th Century
Radiopharmaceuticals
Differentiating IDH status in human gliomas using machine learning and multiparametric MR/PET.
Cancer imaging : the official publication of the International Cancer Imaging Society
Mar 10, 2021
BACKGROUND: The purpose of this study was to develop a voxel-wise clustering method of multiparametric magnetic resonance imaging (MRI) and 3,4-dihydroxy-6-[F]-fluoro-L-phenylalanine (FDOPA) positron emission tomography (PET) images using an unsuperv...
Restoration of amyloid PET images obtained with short-time data using a generative adversarial networks framework.
Scientific reports
Mar 1, 2021
Our purpose in this study is to evaluate the clinical feasibility of deep-learning techniques for F-18 florbetaben (FBB) positron emission tomography (PET) image reconstruction using data acquired in a short time. We reconstructed raw FBB PET data of...
Low-dose PET image noise reduction using deep learning: application to cardiac viability FDG imaging in patients with ischemic heart disease.
Physics in medicine and biology
Feb 25, 2021
INTRODUCTION: Cardiac [F]FDG-PET is widely used for viability testing in patients with chronic ischemic heart disease. Guidelines recommend injection of 200-350 MBq [F]FDG, however, a reduction of radiation exposure has become increasingly important,...
Translating amyloid PET of different radiotracers by a deep generative model for interchangeability.
NeuroImage
Feb 19, 2021
It is challenging to compare amyloid PET images obtained with different radiotracers. Here, we introduce a new approach to improve the interchangeability of amyloid PET acquired with different radiotracers through image-level translation. Deep genera...
Deep learning-based metal artefact reduction in PET/CT imaging.
European radiology
Feb 10, 2021
OBJECTIVES: The susceptibility of CT imaging to metallic objects gives rise to strong streak artefacts and skewed information about the attenuation medium around the metallic implants. This metal-induced artefact in CT images leads to inaccurate atte...
Cerebral blood flow measurements with O-water PET using a non-invasive machine-learning-derived arterial input function.
Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism
Feb 8, 2021
Cerebral blood flow (CBF) can be measured with dynamic positron emission tomography (PET) of O-labeled water by using tracer kinetic modelling. However, for quantification of regional CBF, an arterial input function (AIF), obtained from arterial bloo...
Deep learning-based T1-enhanced selection of linear attenuation coefficients (DL-TESLA) for PET/MR attenuation correction in dementia neuroimaging.
Magnetic resonance in medicine
Feb 8, 2021
PURPOSE: The accuracy of existing PET/MR attenuation correction (AC) has been limited by a lack of correlation between MR signal and tissue electron density. Based on our finding that longitudinal relaxation rate, or R , is associated with CT Hounsfi...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31037
- Neural Networks, Computer 29719
- Algorithms 26832
- Deep Learning 26346
- Artificial Intelligence 24295
- Robotics 13311
- Image Processing, Computer-Assisted 9521
- Retrospective Studies 9111
- Magnetic Resonance Imaging 6181
- Reproducibility of Results 5592
- Tomography, X-Ray Computed 4771
- Support Vector Machine 4686
- Computational Biology 4237
- Brain 4050
- Computer Simulation 3881
Recent Journals
- Scientific reports 5971
- Sensors (Basel, Switzerland) 4794
- PloS one 4022
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1860
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1131
- Journal of chemical information and modeling 1000
- Nature communications 949
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 826