AIMC Topic:
Magnetic Resonance Imaging

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Systematic Review of Artificial Intelligence for Abnormality Detection in High-volume Neuroimaging and Subgroup Meta-analysis for Intracranial Hemorrhage Detection.

Clinical neuroradiology Jun 1, 2023
PURPOSE: Most studies evaluating artificial intelligence (AI) models that detect abnormalities in neuroimaging are either tested on unrepresentative patient cohorts or are insufficiently well-validated, leading to poor generalisability to real-world ...
Neuroimaging Intracranial Hemorrhages Sensitivity and Specificity Magnetic Resonance Imaging Humans Artificial Intelligence
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Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI.

IEEE transactions on medical imaging Jun 1, 2023
The long acquisition time has limited the accessibility of magnetic resonance imaging (MRI) because it leads to patient discomfort and motion artifacts. Although several MRI techniques have been proposed to reduce the acquisition time, compressed sen...
Artifacts Visual Perception Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Deep Learning
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Fast and Calibrationless Low-Rank Parallel Imaging Reconstruction Through Unrolled Deep Learning Estimation of Multi-Channel Spatial Support Maps.

IEEE transactions on medical imaging Jun 1, 2023
Low-rank technique has emerged as a powerful calibrationless alternative for parallel magnetic resonance (MR) imaging. Calibrationless low-rank reconstruction, such as low-rank modeling of local k-space neighborhoods (LORAKS), implicitly exploits bot...
Deep Learning Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain
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Denoising approach with deep learning-based reconstruction for neuromelanin-sensitive MRI: image quality and diagnostic performance.

Japanese journal of radiology May 31, 2023
PURPOSE: Neuromelanin-sensitive MRI (NM-MRI) has proven useful for diagnosing Parkinson's disease (PD) by showing reduced signals in the substantia nigra (SN) and locus coeruleus (LC), but requires a long scan time. The aim of this study was to asses...
Magnetic Resonance Imaging Humans Substantia Nigra Parkinson Disease Deep Learning Melanins
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Deep learning for segmentation of the cervical cancer gross tumor volume on magnetic resonance imaging for brachytherapy.

Radiation oncology (London, England) May 29, 2023
BACKGROUND: Segmentation of the Gross Tumor Volume (GTV) is a crucial step in the brachytherapy (BT) treatment planning workflow. Currently, radiation oncologists segment the GTV manually, which is time-consuming. The time pressure is particularly cr...
Deep Learning Image Processing, Computer-Assisted Brachytherapy Humans Magnetic Resonance Imaging Female Retrospective Studies Tumor Burden Uterine Cervical Neoplasms
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Electromagnetic interference elimination via active sensing and deep learning prediction for radiofrequency shielding-free MRI.

NMR in biomedicine May 28, 2023
At present, MRI scans are typically performed inside fully enclosed radiofrequency (RF) shielding rooms, posing stringent installation requirements and causing patient discomfort. We aim to eliminate electromagnetic interference (EMI) for MRI with no...
Deep Learning Magnetic Resonance Imaging Humans Electromagnetic Fields Radio Waves Signal-To-Noise Ratio Phantoms, Imaging
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Direct synthesis of multi-contrast brain MR images from MR multitasking spatial factors using deep learning.

Magnetic resonance in medicine May 28, 2023
PURPOSE: To develop a deep learning method to synthesize conventional contrast-weighted images in the brain from MR multitasking spatial factors.
Magnetic Resonance Imaging Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Brain Humans
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Image quality and lesion detectability of deep learning-accelerated T2-weighted Dixon imaging of the cervical spine.

Skeletal radiology May 26, 2023
OBJECTIVES: To validate the subjective image quality and lesion detectability of deep learning-accelerated Dixon (DL-Dixon) imaging of the cervical spine compared with routine Dixon imaging.
Humans Constriction, Pathologic Magnetic Resonance Imaging Reproducibility of Results Cervical Vertebrae Deep Learning
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Use of systems with deep learning and machine learning for the detection and classification of malignant vs. benign spinal fractures with MRI: can deep/machine learning help us further for detection and characterization?

European radiology May 26, 2023
Fractures, Compression Machine Learning Deep Learning Magnetic Resonance Imaging Spinal Fractures Humans
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Non-invasive grading of brain tumors using online support vector machine with dynamic fuzzy rule-based parameters optimization.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine May 26, 2023
Non-invasive grading of brain tumors provides a valuable understanding of tumor growth that helps choose the proper treatment. In this paper, an online method with an innovative optimization approach as well as a new and fast tumor segmentation metho...
Humans Algorithms Brain Neoplasms Neoplasm Grading Magnetic Resonance Imaging Image Processing, Computer-Assisted Fuzzy Logic Support Vector Machine
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