AIMC Topic: Contrast Media

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Deep learning analysis of contrast-enhanced spectral mammography to determine histoprognostic factors of malignant breast tumours.

European radiology Jan 29, 2022
OBJECTIVE: To evaluate if a deep learning model can be used to characterise breast cancers on contrast-enhanced spectral mammography (CESM).
Mammography Receptors, Estrogen Breast Neoplasms Humans Deep Learning Retrospective Studies Contrast Media Female
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High-strength deep learning image reconstruction in coronary CT angiography at 70-kVp tube voltage significantly improves image quality and reduces both radiation and contrast doses.

European radiology Jan 21, 2022
OBJECTIVES: To explore the use of 70-kVp tube voltage combined with high-strength deep learning image reconstruction (DLIR-H) in reducing radiation and contrast doses in coronary CT angiography (CCTA) in patients with body mass index (BMI) < 26 kg/m,...
Radiation Dosage Computed Tomography Angiography Humans Contrast Media Algorithms Coronary Angiography Deep Learning Radiographic Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted
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Beyond the : Deep Learning-Enabled Virtual Postcontrast Imaging for Neurooncology.

AJR. American journal of roentgenology Jan 19, 2022
Deep Learning Contrast Media Magnetic Resonance Imaging Humans Retrospective Studies Neoplasms
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Estimation of the capillary level input function for dynamic contrast-enhanced MRI of the breast using a deep learning approach.

Magnetic resonance in medicine Jan 9, 2022
PURPOSE: To develop a deep learning approach to estimate the local capillary-level input function (CIF) for pharmacokinetic model analysis of DCE-MRI.
Humans Breast Neoplasms Contrast Media Deep Learning Algorithms Magnetic Resonance Imaging Female Reproducibility of Results
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Joint MRI T1 Unenhancing and Contrast-enhancing Multiple Sclerosis Lesion Segmentation with Deep Learning in OPERA Trials.

Radiology Dec 14, 2021
Background Deep learning-based segmentation could facilitate rapid and reproducible T1 lesion load assessments, which is crucial for disease management in multiple sclerosis (MS). T1 unenhancing and contrast-enhancing lesions in MS are those that enh...
Immunologic Factors Multiple Sclerosis Datasets as Topic Antibodies, Monoclonal, Humanized Contrast Media Magnetic Resonance Imaging Humans Retrospective Studies Female Adult Male Deep Learning
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Cytocompatible manganese dioxide-based hydrogel nanoreactors for MRI imaging.

Biomaterials advances Dec 3, 2021
The application of nanoparticles in magnetic resonance imaging (MRI) has been greatly increasing, due to their advantageous properties such as nanoscale dimension and tuneability. In this context, manganese (Mn)-based nanoparticles have been greatly ...
Magnetic Resonance Imaging Oxides Hydrogels Animals Hyaluronic Acid Manganese Reactive Oxygen Species Nanotechnology Rats Manganese Compounds Contrast Media
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A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets.

BMC medical imaging Nov 24, 2021
BACKGROUND: Most existing algorithms have been focused on the segmentation from several public Liver CT datasets scanned regularly (no pneumoperitoneum and horizontal supine position). This study primarily segmented datasets with unconventional liver...
Swine Datasets as Topic Liver Neoplasms Machine Learning Pneumoperitoneum Humans Imaging, Three-Dimensional Tomography, X-Ray Computed Contrast Media Animals Liver Radiographic Image Interpretation, Computer-Assisted
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Deep-learning image-reconstruction algorithm for dual-energy CT angiography with reduced iodine dose: preliminary results.

Clinical radiology Nov 12, 2021
AIM: To evaluate the computed tomography (CT) attenuation values, background noise, arterial depiction, and image quality in whole-body dual-energy CT angiography (DECTA) at 40 keV with a reduced iodine dose using deep-learning image reconstruction (...
Iodine Contrast Media Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Radiographic Image Enhancement Aortic Diseases Male Humans Middle Aged Whole Body Imaging Deep Learning Female Radiography, Dual-Energy Scanned Projection Aged Aged, 80 and over
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Accurate pancreas segmentation using multi-level pyramidal pooling residual U-Net with adversarial mechanism.

BMC medical imaging Nov 12, 2021
BACKGROUND: A novel multi-level pyramidal pooling residual U-Net with adversarial mechanism was proposed for organ segmentation from medical imaging, and was conducted on the challenging NIH Pancreas-CT dataset.
Datasets as Topic Pancreas Neural Networks, Computer Tomography, X-Ray Computed Contrast Media Humans
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Quantitative imaging of apoptosis following oncolytic virotherapy by magnetic resonance fingerprinting aided by deep learning.

Nature biomedical engineering Nov 11, 2021
Non-invasive imaging methods for detecting intratumoural viral spread and host responses to oncolytic virotherapy are either slow, lack specificity or require the use of radioactive or metal-based contrast agents. Here we show that in mice with gliob...
Magnetic Resonance Spectroscopy Protons Oncolytic Virotherapy Contrast Media Magnetic Resonance Imaging Apoptosis Humans Animals Deep Learning Mice
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