Radiology

Nuclear Medicine

Latest AI and machine learning research in nuclear medicine for healthcare professionals.

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Showing 841-861 of 5,219 articles
Differentiating IDH status in human gliomas using machine learning and multiparametric MR/PET.

BACKGROUND: The purpose of this study was to develop a voxel-wise clustering method of multiparametr...

Mar 2021 33691798
Attenuation correction using deep learning for brain perfusion SPECT images.

OBJECTIVE: Non-uniform attenuation correction using computed tomography (CT) improves the image qual...

Mar 2021 33751364
Improved motor outcome prediction in Parkinson's disease applying deep learning to DaTscan SPECT images.

PURPOSE: Dopamine transporter (DAT) SPECT imaging is routinely used in the diagnosis of Parkinson's ...

Mar 2021 33892414
Automatic attenuation map estimation from SPECT data only for brain perfusion scans using convolutional neural networks.

In clinical brain SPECT, correction for photon attenuation in the patient is essential to obtain ima...

Mar 2021 33571975
Restoration of amyloid PET images obtained with short-time data using a generative adversarial networks framework.

Our purpose in this study is to evaluate the clinical feasibility of deep-learning techniques for F-...

Mar 2021 33649403
Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study.

Dedicated cardiac SPECT scanners with cadmium-zinc-telluride cameras have shown capabilities for sho...

Feb 2021 33637586
Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial network.

OBJECTIVES: To reduce the dose of intravenous iodine-based contrast media (ICM) in CT through virtua...

Feb 2021 33630160
Low-dose PET image noise reduction using deep learning: application to cardiac viability FDG imaging in patients with ischemic heart disease.

INTRODUCTION: Cardiac [F]FDG-PET is widely used for viability testing in patients with chronic ische...

Feb 2021 33524958
Weakly supervised deep learning for determining the prognostic value of F-FDG PET/CT in extranodal natural killer/T cell lymphoma, nasal type.

PURPOSE: To develop a weakly supervised deep learning (WSDL) method that could utilize incomplete/mi...

Feb 2021 33611614
Modeling complex particles phase space with GAN for Monte Carlo SPECT simulations: a proof of concept.

A method is proposed to model by a generative adversarial network the distribution of particles exit...

Feb 2021 33477121
Translating amyloid PET of different radiotracers by a deep generative model for interchangeability.

It is challenging to compare amyloid PET images obtained with different radiotracers. Here, we intro...

Feb 2021 33617991
Deep learning based automated diagnosis of bone metastases with SPECT thoracic bone images.

SPECT nuclear medicine imaging is widely used for treating, diagnosing, evaluating and preventing va...

Feb 2021 33608560
Deep-learning-based cardiac amyloidosis classification from early acquired pet images.

The objective of the present work was to evaluate the potential of deep learning tools for character...

Feb 2021 33591476
Deep learning-based metal artefact reduction in PET/CT imaging.

OBJECTIVES: The susceptibility of CT imaging to metallic objects gives rise to strong streak artefac...

Feb 2021 33569626
Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients.

PURPOSE: Identification and delineation of the gross tumour and malignant nodal volume (GTV) in medi...

Feb 2021 33559711
Reference evapotranspiration of Brazil modeled with machine learning techniques and remote sensing.

Reference evapotranspiration (ETo) is a fundamental parameter for hydrological studies and irrigatio...

Feb 2021 33561147
Cerebral blood flow measurements with O-water PET using a non-invasive machine-learning-derived arterial input function.

Cerebral blood flow (CBF) can be measured with dynamic positron emission tomography (PET) of O-label...

Feb 2021 33557691
Deep learning-based T1-enhanced selection of linear attenuation coefficients (DL-TESLA) for PET/MR attenuation correction in dementia neuroimaging.

PURPOSE: The accuracy of existing PET/MR attenuation correction (AC) has been limited by a lack of c...

Feb 2021 33559218
Transforming UTE-mDixon MR Abdomen-Pelvis Images Into CT by Jointly Leveraging Prior Knowledge and Partial Supervision.

Computed tomography (CT) provides information for diagnosis, PET attenuation correction (AC), and ra...

Feb 2021 32175868
Sub-2 mm depth of interaction localization in PET detectors with prismatoid light guide arrays and single-ended readout using convolutional neural networks.

PURPOSE: Depth of interaction (DOI) readout in PET imaging has been researched in efforts to mitigat...

Feb 2021 33305482
Automatic rat brain image segmentation using triple cascaded convolutional neural networks in a clinical PET/MR.

The purpose of this work was to develop and evaluate a deep learning approach for automatic rat brai...

Feb 2021 33527911
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