AIMC Topic: Computed Tomography Angiography

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Feasibility of Ultra-low Radiation and Contrast Medium Dosage in Aortic CTA Using Deep Learning Reconstruction at 60 kVp: An Image Quality Assessment.

Academic radiology Nov 13, 2024
OBJECTIVE: To assess the viability of using ultra-low radiation and contrast medium (CM) dosage in aortic computed tomography angiography (CTA) through the application of low tube voltage (60kVp) and a novel deep learning image reconstruction algorit...
Phantoms, Imaging Computed Tomography Angiography Aortography Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Radiation Dosage Aged Aorta Male Middle Aged Deep Learning Contrast Media Humans Algorithms Prospective Studies Female
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Generalizable self-supervised learning for brain CTA in acute stroke.

Computers in biology and medicine Nov 12, 2024
Acute stroke management involves rapid and accurate interpretation of CTA imaging data. However, generalizable models for multiple acute stroke tasks able to learn from unlabeled data do not exist. We propose a linear probed self-supervised contrasti...
Brain Tomography, X-Ray Computed Female Aged Stroke Supervised Machine Learning Computed Tomography Angiography Male Middle Aged Humans
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Assessing the need for coronary angiography in high-risk non-ST-elevation acute coronary syndrome patients using artificial intelligence and computed tomography.

The international journal of cardiovascular imaging Nov 8, 2024
PURPOSE: This study aimed to evaluate the efficacy of the Chat Generative Pre-trained Transformer (ChatGPT) in guiding the need for invasive coronary angiography (ICA) in high-risk non-ST-elevation (NSTE) acute coronary syndrome (ACS) patients based ...
Aged Acute Coronary Syndrome Male Computed Tomography Angiography Clinical Decision-Making Middle Aged Humans Female Risk Assessment Double-Blind Method Artificial Intelligence Non-ST Elevated Myocardial Infarction Reproducibility of Results Coronary Angiography Predictive Value of Tests Decision Support Techniques Risk Factors Radiographic Image Interpretation, Computer-Assisted Prospective Studies
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Beyond strong labels: Weakly-supervised learning based on Gaussian pseudo labels for the segmentation of ellipse-like vascular structures in non-contrast CTs.

Medical image analysis Oct 30, 2024
Deep learning-based automated segmentation of vascular structures in preoperative CT angiography (CTA) images contributes to computer-assisted diagnosis and interventions. While CTA is the common standard, non-contrast CT imaging has the advantage of...
Supervised Machine Learning Aorta, Abdominal Computed Tomography Angiography Normal Distribution Humans Algorithms Deep Learning Radiographic Image Interpretation, Computer-Assisted
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Deep Learning Using One-stop-shop CT Scan to Predict Hemorrhagic Transformation in Stroke Patients Undergoing Reperfusion Therapy: A Multicenter Study.

Academic radiology Oct 28, 2024
RATIONALE AND OBJECTIVES: Hemorrhagic transformation (HT) is one of the most serious complications in patients with acute ischemic stroke (AIS) following reperfusion therapy. The purpose of this study is to develop and validate deep learning (DL) mod...
Humans Retrospective Studies Tomography, X-Ray Computed Female Cerebral Hemorrhage Ischemic Stroke Stroke Reperfusion Computed Tomography Angiography Aged Male Middle Aged Deep Learning
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Impact of deep Learning-enhanced contrast on diagnostic accuracy in stroke CT angiography.

European journal of radiology Oct 28, 2024
PURPOSE: To examine the impact of deep learning-augmented contrast enhancement on image quality and diagnostic accuracy of poorly contrasted CT angiography in patients with suspected stroke.
Deep Learning Contrast Media Aged Radiographic Image Interpretation, Computer-Assisted Humans Signal-To-Noise Ratio Stroke Sensitivity and Specificity Retrospective Studies Male Computed Tomography Angiography Female Middle Aged Cerebral Angiography Reproducibility of Results Radiographic Image Enhancement
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Deep-learning reconstruction enhances image quality of Adamkiewicz Artery in low-keV dual-energy CT.

Acta radiologica (Stockholm, Sweden : 1987) Oct 22, 2024
BACKGROUND: Low-keV virtual monoenergetic images (VMIs) of dual-energy computed tomography (CT) enhances iodine contrast for detecting small arteries like the Adamkiewicz artery (AKA), but image noise can be problematic. Deep-learning image reconstru...
Radiography, Dual-Energy Scanned Projection Male Middle Aged Deep Learning Contrast Media Radiographic Image Interpretation, Computer-Assisted Spinal Cord Signal-To-Noise Ratio Computed Tomography Angiography Female Aged Aged, 80 and over Adult Humans Retrospective Studies
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Structure preservation constraints for unsupervised domain adaptation intracranial vessel segmentation.

Medical & biological engineering & computing Oct 21, 2024
Unsupervised domain adaptation (UDA) has received interest as a means to alleviate the burden of data annotation. Nevertheless, existing UDA segmentation methods exhibit performance degradation in fine intracranial vessel segmentation tasks due to th...
Image Processing, Computer-Assisted Unsupervised Machine Learning Magnetic Resonance Angiography Computed Tomography Angiography Neural Networks, Computer Algorithms Brain Humans
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Application of a Deep Learning-Based Contrast-Boosting Algorithm to Low-Dose Computed Tomography Pulmonary Angiography With Reduced Iodine Load.

Journal of computer assisted tomography Oct 10, 2024
OBJECTIVE: The aim of this study was to assess the effectiveness of a deep learning-based image contrast-boosting algorithm by enhancing the image quality of low-dose computed tomography pulmonary angiography at reduced iodine load.
Humans Algorithms Retrospective Studies Female Aged Pulmonary Embolism Radiation Dosage Computed Tomography Angiography Radiographic Image Enhancement Deep Learning Aged, 80 and over Pulmonary Artery Iodine Adult Contrast Media Male Radiographic Image Interpretation, Computer-Assisted Middle Aged
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Artificial Intelligence Improves Prediction of Major Adverse Cardiovascular Events in Patients Undergoing Transcatheter Aortic Valve Replacement Planning CT.

Academic radiology Oct 10, 2024
RATIONALE AND OBJECTIVES: Coronary CT angiography (CCTA) is mandatory before transcatheter aortic valve replacement (TAVR). Our objective was to evaluate the efficacy of artificial intelligence (AI)-powered software in automatically analyzing cardiac...
Female Aged Aged, 80 and over Male Humans Artificial Intelligence Retrospective Studies Aortic Valve Stenosis Coronary Angiography Computed Tomography Angiography Transcatheter Aortic Valve Replacement
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