AIMC Topic: Echo-Planar Imaging

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Leveraging Physics-Based Synthetic MR Images and Deep Transfer Learning for Artifact Reduction in Echo-Planar Imaging.

AJNR. American journal of neuroradiology Apr 2, 2025
BACKGOUND AND PURPOSE: This study utilizes a physics-based approach to synthesize realistic MR artifacts and train a deep learning generative adversarial network (GAN) for use in artifact reduction on EPI, a crucial neuroimaging sequence with high ac...
Humans Brain Female Brain Neoplasms Image Processing, Computer-Assisted Magnetic Resonance Imaging Artifacts Echo-Planar Imaging Male Middle Aged Deep Learning
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Image quality and diagnostic performance of deep learning reconstruction for diffusion- weighted imaging in 3 T breast MRI.

European journal of radiology Feb 12, 2025
PURPOSE: This study aimed to assess the image quality and the diagnostic value of deep learning reconstruction (DLR) for diffusion-weighted imaging (DWI) compared with conventional single-shot echo-planar imaging (ss-EPI) in 3 T breast MRI.
Artifacts Diffusion Magnetic Resonance Imaging Echo-Planar Imaging Aged Adult Breast Neoplasms Breast Image Interpretation, Computer-Assisted Middle Aged Deep Learning Humans Prospective Studies Female
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Diagnostic accuracy of texture analysis applied to T- and T-Relaxation maps for liver fibrosis classification via machine-learning algorithms with liver histology as reference standard.

European journal of radiology Dec 20, 2024
OBJECTIVES: To explore texture analysis' ability on T and T relaxation maps to classify liver fibrosis into no-to-mild liver fibrosis (nmF) versus severe fibrosis (sF) group using machine learning algorithms and histology as reference standard.
Male Middle Aged Severity of Illness Index ROC Curve Female Aged Adult Liver Principal Component Analysis Area Under Curve Biopsy Liver Cirrhosis Support Vector Machine Magnetic Resonance Imaging Humans Retrospective Studies Echo-Planar Imaging Image Interpretation, Computer-Assisted Reference Standards Elasticity Imaging Techniques
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Blip-up blip-down circular EPI (BUDA-cEPI) for distortion-free dMRI with rapid unrolled deep learning reconstruction.

Magnetic resonance imaging Nov 19, 2024
PURPOSE: BUDA-cEPI has been shown to achieve high-quality, high-resolution diffusion magnetic resonance imaging (dMRI) with fast acquisition time, particularly when used in conjunction with S-LORAKS reconstruction. However, this comes at a cost of mo...
Brain Deep Learning Image Processing, Computer-Assisted Diffusion Magnetic Resonance Imaging Echo-Planar Imaging Humans Neural Networks, Computer Algorithms
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Development and Validation of Interpretable Machine Learning Models for Clinically Significant Prostate Cancer Diagnosis in Patients With Lesions of PI-RADS v2.1 Score ≥3.

Journal of magnetic resonance imaging : JMRI Feb 16, 2024
BACKGROUND: For patients with PI-RADS v2.1 ≥ 3, prostate biopsy is strongly recommended. Due to the unsatisfactory positive rate of biopsy, improvements in clinically significant prostate cancer (csPCa) risk assessments are required.
Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Echo-Planar Imaging Risk Assessment ROC Curve Reproducibility of Results Prostate Humans Magnetic Resonance Imaging Aged Machine Learning Prostatic Neoplasms Male Biopsy Retrospective Studies Prostate-Specific Antigen Middle Aged
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Unsupervised deep learning model for correcting Nyquist ghosts of single-shot spatiotemporal encoding.

Magnetic resonance in medicine Dec 10, 2023
PURPOSE: To design an unsupervised deep learning (DL) model for correcting Nyquist ghosts of single-shot spatiotemporal encoding (SPEN) and evaluate the model for real MRI applications.
Algorithms Brain Deep Learning Phantoms, Imaging Echo-Planar Imaging Image Processing, Computer-Assisted Artifacts
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Deep learning-based k-space-to-image reconstruction and super resolution for diffusion-weighted imaging in whole-spine MRI.

Magnetic resonance imaging Nov 7, 2023
PURPOSE: To assess the feasibility of deep learning (DL)-based k-space-to-image reconstruction and super resolution for whole-spine diffusion-weighted imaging (DWI).
Spine Diffusion Magnetic Resonance Imaging Echo-Planar Imaging Middle Aged Deep Learning Humans Image Processing, Computer-Assisted Retrospective Studies Female Reproducibility of Results
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Ultrafast Brain MRI Protocol at 1.5 T Using Deep Learning and Multi-shot EPI.

Academic radiology May 19, 2023
RATIONALE AND OBJECTIVES: To evaluate clinical feasibility and image quality of a comprehensive ultrafast brain MRI protocol with multi-shot echo planar imaging and deep learning-enhanced reconstruction at 1.5T.
Humans Brain Deep Learning Magnetic Resonance Imaging Neuroimaging Diffusion Magnetic Resonance Imaging Echo-Planar Imaging
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Ultrafast MRI using deep learning echoplanar imaging for a comprehensive assessment of acute ischemic stroke.

European radiology Mar 16, 2023
OBJECTIVES: Acute ischemic stroke (AIS) is an emergency requiring both fast and informative MR sequences. We aimed to assess the performance of an artificial intelligence-enhanced ultrafast (UF) protocol, compared to the reference protocol, in the AI...
Diffusion Magnetic Resonance Imaging Magnetic Resonance Imaging Echo-Planar Imaging Ischemic Stroke Humans Stroke Artificial Intelligence Deep Learning
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Technical Advancements in Abdominal Diffusion-weighted Imaging.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Mar 15, 2023
Since its first observation in the 18th century, the diffusion phenomenon has been actively studied by many researchers. Diffusion-weighted imaging (DWI) is a technique to probe the diffusion of water molecules and create a MR image with contrast bas...
Respiration Artificial Intelligence Diffusion Magnetic Resonance Imaging Echo-Planar Imaging Motion Reproducibility of Results Image Enhancement Abdomen
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