AIMC Topic: Breath Holding

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Assessment of biventricular cardiac function using free-breathing artificial intelligence cine with motion correction: Comparison with standard multiple breath-holding cine.

European journal of radiology Jul 1, 2025
PURPOSE: To assess the image quality and biventricular function utilizing a free-breathing artificial intelligence cine method with motion correction (FB AI MOCO).
Male Middle Aged Sensitivity and Specificity Cross-Sectional Studies Artifacts Breath Holding Magnetic Resonance Imaging, Cine Motion Image Interpretation, Computer-Assisted Prospective Studies Female Reproducibility of Results Adult Humans Artificial Intelligence
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AI-augmented reconstruction provides improved image quality and enables shorter breath-holds in contrast-enhanced liver MRI.

European radiology experimental May 1, 2025
BACKGROUND: To compare liver image quality and lesion detection using an AI-augmented T1-weighted sequence on hepatobiliary-phase gadoxetate-enhanced magnetic resonance imaging (MRI).
Magnetic Resonance Imaging Liver Image Processing, Computer-Assisted Contrast Media Breath Holding Gadolinium DTPA Image Interpretation, Computer-Assisted Image Enhancement Adult Male Middle Aged Liver Neoplasms Humans Neural Networks, Computer Female Aged
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Application of deep learning techniques for breath-hold, high-precision T2-weighted magnetic resonance imaging of the abdomen.

Abdominal radiology (New York) May 1, 2025
PURPOSE: To evaluate the feasibility of a high-precision single-shot fast spin-echo (SS-FSE) sequence using the deep learning-based Precise IQ Engine (PIQE) algorithm in comparison with standard SS-FSE for T2-weighted MR imaging of the abdomen, and t...
Breath Holding Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Magnetic Resonance Imaging Feasibility Studies Humans Algorithms Adult Aged Male Retrospective Studies Female Middle Aged Deep Learning Aged, 80 and over Abdomen
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Human-in-the-loop machine learning-based quantitative assessment of hemifacial spasm based on volumetric interpolated breath-hold examination MR.

The British journal of radiology Apr 1, 2025
OBJECTIVES: The purpose of this study was to assess the severity of hemifacial spasm (HFS) through quantitative measures that associated it with neurovascular contact (NVC).
Male Middle Aged Aged Adult Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Severity of Illness Index Imaging, Three-Dimensional Humans Machine Learning Breath Holding Female Hemifacial Spasm
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Present and Future Innovations in AI and Cardiac MRI.

Radiology Jan 1, 2024
Cardiac MRI is used to diagnose and treat patients with a multitude of cardiovascular diseases. Despite the growth of clinical cardiac MRI, complicated image prescriptions and long acquisition protocols limit the specialty and restrain its impact on ...
Artificial Intelligence Magnetic Resonance Imaging Humans Radiography Neural Networks, Computer Breath Holding
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