AIMC Topic: Contrast Media

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Peri-lesion regions in differentiating suspicious breast calcification-only lesions specifically on contrast enhanced mammography.

Journal of X-ray science and technology Jan 1, 2024
PURPOSE: The explore the added value of peri-calcification regions on contrast-enhanced mammography (CEM) in the differential diagnosis of breast lesions presenting as only calcification on routine mammogram.
Adult Breast Neoplasms Middle Aged Female Aged Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Breast Humans Contrast Media Machine Learning Calcinosis Mammography
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Impact of a reduced iodine load with deep learning reconstruction on abdominal MDCT.

Medicine Sep 1, 2023
To evaluate the impact of a reduced iodine load using deep learning reconstruction (DLR) on the hepatic parenchyma compared to conventional iterative reconstruction (hybrid IR) and its consequence on the radiation dose and image quality. This retrosp...
Deep Learning Iodine Contrast Media Multidetector Computed Tomography Humans Retrospective Studies
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[A Dual-Aware deep learning framework for identification of glioma isocitrate dehydrogenase genotype using magnetic resonance amide proton transfer modalities].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Aug 20, 2023
OBJECTIVE: To propose a Dual-Aware deep learning framework for genotyping of isocitrate dehydrogenase (IDH) in gliomas based on magnetic resonance amide proton transfer (APT) modality data as a means to assist non-invasive diagnosis of gliomas.
Humans Contrast Media Magnetic Resonance Imaging Amides Deep Learning Genotype Glioma Protons Isocitrate Dehydrogenase Magnetic Resonance Spectroscopy
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[The application value of deep learning image reconstruction on improving image quality and evaluating the Qanadli embolism index of dual low-dose CT pulmonary angiography].

Zhonghua yi xue za zhi May 23, 2023
To compare the image quality and Qanadli embolism index between deep learning image reconstruction (DLR) and adaptive statistical iterative reconstruction-veo (ASiR-V) in dual low-dose CT pulmonary angiography (CTPA) with low contrast agent dose and...
Angiography Computed Tomography Angiography Pulmonary Embolism Radiation Dosage Male Deep Learning Image Processing, Computer-Assisted Contrast Media Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Tomography, X-Ray Computed Female Humans Algorithms
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Differentiation of breast lesions on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) using deep transfer learning based on DenseNet201.

Medicine Nov 11, 2022
In order to achieve better performance, artificial intelligence is used in breast cancer diagnosis. In this study, we evaluated the efficacy of different fine-tuning strategies of deep transfer learning (DTL) based on the DenseNet201 model to differe...
Humans Artificial Intelligence Machine Learning Contrast Media Magnetic Resonance Imaging Breast
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SVM Communications: Contrast media shortage and Society updates.

Vascular medicine (London, England) Oct 1, 2022
Humans Support Vector Machine Contrast Media
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Signal-Intensity Informed Multi-Coil MRI Encoding Operator for Improved Physics-Guided Deep Learning Reconstruction of Dynamic Contrast-Enhanced MRI.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Dynamic contrast enhanced (DCE) MRI acquires a series of images following the administration of a contrast agent, and plays an important clinical role in diagnosing various diseases. DCE MRI typically necessitates rapid imaging to provide sufficient ...
Physics Magnetic Resonance Imaging Phantoms, Imaging Deep Learning Contrast Media
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[Clinical Application of "Three-Low" Technique Combined with Artificial Intelligence Iterative Reconstruction Algorithm in Aortic CT Angiography].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Jul 1, 2022
OBJECTIVE: To explore the application value of the "three-low" technique (low radiation dose, low contrast agent dosage and low contrast agent flow rate) combined with artificial intelligence iterative reconstruction (AIIR) in aortic CT angiography (...
Algorithms Tomography, X-Ray Computed Contrast Media Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Humans Artificial Intelligence Aorta Computed Tomography Angiography
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Deep learning quantification of vascular pharmacokinetic parameters in mouse brain tumor models.

Frontiers in bioscience (Landmark edition) Mar 16, 2022
BACKGROUND: Dynamic contrast-enhanced (DCE) MRI is widely used to assess vascular perfusion and permeability in cancer. In small animal applications, conventional modeling of pharmacokinetic (PK) parameters from DCE MRI images is complex and time con...
Contrast Media Humans Animals Mice, Nude Magnetic Resonance Imaging Brain Neoplasms Deep Learning Mice
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Analysis of a Deep Learning-Based Superresolution Algorithm Tailored to Partial Fourier Gradient Echo Sequences of the Abdomen at 1.5 T: Reduction of Breath-Hold Time and Improvement of Image Quality.

Investigative radiology Mar 1, 2022
OBJECTIVES: The aim of this study was to investigate the feasibility and impact of a novel deep learning superresolution algorithm tailored to partial Fourier allowing retrospectively theoretical acquisition time reduction in 1.5 T T1-weighted gradie...
Middle Aged Deep Learning Humans Abdomen Image Enhancement Contrast Media Algorithms Retrospective Studies Magnetic Resonance Imaging Artifacts Aged
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