AIMC Topic: Magnetic Resonance Imaging

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Automatic Grading Assessments for Knee MRI Cartilage Defects via Self-ensembling Semi-supervised Learning with Dual-Consistency.

Medical image analysis Jun 18, 2022
Knee cartilage defects caused by osteoarthritis are major musculoskeletal disorders, leading to joint necrosis or even disability if not intervened at early stage. Deep learning has demonstrated its effectiveness in computer-aided diagnosis, but it i...
Supervised Machine Learning Cartilage Diagnosis, Computer-Assisted Magnetic Resonance Imaging Knee Joint Humans
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Deep Learning Staging of Liver Iron Content From Multiecho MR Images.

Journal of magnetic resonance imaging : JMRI Jun 17, 2022
BACKGROUND: MRI represents the most established liver iron content (LIC) evaluation approach by estimation of liver T2* value, but it is dependent on the choice of the measurement region and the software used for image analysis.
Deep Learning Magnetic Resonance Imaging Liver Humans Retrospective Studies Iron Iron Overload
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Prospective motion correction and automatic segmentation of penetrating arteries in phase contrast MRI at 7 T.

Magnetic resonance in medicine Jun 17, 2022
PURPOSE: To develop a prospective motion correction (MC) method for phase contrast (PC) MRI of penetrating arteries (PAs) in centrum semiovale at 7 T and to evaluate its performance using automatic PA segmentation.
Arteries Magnetic Resonance Imaging Motion Prospective Studies Image Processing, Computer-Assisted Neural Networks, Computer
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Deep-learning synthesized pseudo-CT for MR high-resolution pediatric cranial bone imaging (MR-HiPCB).

Magnetic resonance in medicine Jun 17, 2022
PURPOSE: CT is routinely used to detect cranial abnormalities in pediatric patients with head trauma or craniosynostosis. This study aimed to develop a deep learning method to synthesize pseudo-CT (pCT) images for MR high-resolution pediatric cranial...
Deep Learning Child Magnetic Resonance Imaging Skull Image Processing, Computer-Assisted Humans Tomography, X-Ray Computed
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Deep learning-based quantitative susceptibility mapping (QSM) in the presence of fat using synthetically generated multi-echo phase training data.

Magnetic resonance in medicine Jun 17, 2022
PURPOSE: To enable a fast and automatic deep learning-based QSM reconstruction of tissues with diverse chemical shifts, relevant to most regions outside the brain.
Humans Algorithms Brain Brain Mapping Iodine Radioisotopes Water Male Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Bone visualization of the cervical spine with deep learning-based synthetic CT compared to conventional CT: A single-center noninferiority study on image quality.

European journal of radiology Jun 17, 2022
PURPOSE: To investigate whether the image quality of a specific deep learning-based synthetic CT (sCT) of the cervical spine is noninferior to conventional CT.
Artificial Intelligence Tomography, X-Ray Computed Magnetic Resonance Imaging Cervical Vertebrae Deep Learning Humans Artifacts
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Influences of Magnetic Resonance Imaging Superresolution Algorithm-Based Transition Care on Prognosis of Children with Severe Viral Encephalitis.

Computational and mathematical methods in medicine Jun 17, 2022
OBJECTIVE: Its goal was to see how convolutional neural network- (CNN-) based superresolution (SR) technology magnetic resonance imaging- (MRI-) assisted transition care (TC) affected the prognosis of children with severe viral encephalitis (SVE) and...
Child Algorithms Image Processing, Computer-Assisted Prognosis Transitional Care Magnetic Resonance Imaging Quality of Life Humans Encephalitis, Viral Deep Learning
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Artificial intelligence-based technology for semi-automated segmentation of rectal cancer using high-resolution MRI.

PloS one Jun 17, 2022
AIM: Although MRI has a substantial role in directing treatment decisions for locally advanced rectal cancer, precise interpretation of the findings is not necessarily available at every institution. In this study, we aimed to develop artificial inte...
Humans Neural Networks, Computer Artificial Intelligence Magnetic Resonance Imaging Rectal Neoplasms Technology Image Processing, Computer-Assisted
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Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study.

Abdominal radiology (New York) Jun 16, 2022
PURPOSE: To evaluate an MRI-based radiomic texture classifier alone and combined with radiologist qualitative assessment in predicting pathological complete response (pCR) using restaging MRI with internal training and external validation.
Middle Aged Brazil Treatment Outcome Rectal Neoplasms Female Artificial Intelligence Magnetic Resonance Imaging Humans Chemoradiotherapy Male Retrospective Studies Radiologists Magnetic Resonance Spectroscopy
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Deep Learning-Based Image Reconstruction for Different Medical Imaging Modalities.

Computational and mathematical methods in medicine Jun 16, 2022
Image reconstruction in magnetic resonance imaging (MRI) and computed tomography (CT) is a mathematical process that generates images at many different angles around the patient. Image reconstruction has a fundamental impact on image quality. In rece...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Tomography, X-Ray Computed Humans Deep Learning Algorithms
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