AIMC Topic: Magnetic Resonance Imaging

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Predicting the outcome of radiotherapy in brain metastasis by integrating the clinical and MRI-based deep learning features.

Medical physics Jul 6, 2022
BACKGROUND: A considerable proportion of metastatic brain tumors progress locally despite stereotactic radiation treatment, and it can take months before such local progression is evident on follow-up imaging. Prediction of radiotherapy outcome in te...
Brain Neoplasms Deep Learning Magnetic Resonance Imaging Humans
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eICAB: A novel deep learning pipeline for Circle of Willis multiclass segmentation and analysis.

NeuroImage Jul 6, 2022
BACKGROUND: The accurate segmentation, labeling and quantification of cerebral blood vessels on MR imaging is important for basic and clinical research, yet results are not generalizable, and often require user intervention. New methods are needed to...
Humans Image Processing, Computer-Assisted Reproducibility of Results Neural Networks, Computer Magnetic Resonance Imaging Middle Aged Circle of Willis Deep Learning Female
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Deep learning solution for medical image localization and orientation detection.

Medical image analysis Jul 6, 2022
Magnetic Resonance (MR) imaging plays an important role in medical diagnosis and biomedical research. Due to the high in-slice resolution and low through-slice resolution nature of MR imaging, the usefulness of the reconstruction highly depends on th...
Deep Learning Image Processing, Computer-Assisted Knee Joint Magnetic Resonance Imaging Algorithms Reproducibility of Results Humans
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Real time volumetric MRI for 3D motion tracking via geometry-informed deep learning.

Medical physics Jul 6, 2022
PURPOSE: To develop a geometry-informed deep learning framework for volumetric MRI with sub-second acquisition time in support of 3D motion tracking, which is highly desirable for improved radiotherapy precision but hindered by the long image acquisi...
Imaging, Three-Dimensional Magnetic Resonance Imaging Radiotherapy, Image-Guided Motion Humans Deep Learning
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Reduction in Acquisition Time and Improvement in Image Quality in T2-Weighted MR Imaging of Musculoskeletal Tumors of the Extremities Using a Novel Deep Learning-Based Reconstruction Technique in a Turbo Spin Echo (TSE) Sequence.

Tomography (Ann Arbor, Mich.) Jul 6, 2022
Background: The aim of this study was to assess the technical feasibility and the impact on image quality and acquisition time of a deep learning-accelerated fat-saturated T2-weighted turbo spin echo sequence in musculoskeletal imaging of the extremi...
Extremities Adult Humans Middle Aged Magnetic Resonance Imaging Neoplasms Musculoskeletal Diseases Aged Artifacts Deep Learning Aged, 80 and over
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Deep learning for fast low-field MRI acquisitions.

Scientific reports Jul 6, 2022
Low-field (LF) MRI research currently gains momentum from its potential to offer reduced costs and reduced footprints translating into wider accessibility. However, the impeded signal-to-noise ratio inherent to lower magnetic fields can have a signif...
Records Magnetic Resonance Imaging Signal-To-Noise Ratio Retrospective Studies Deep Learning
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Deep Learning-driven classification of external DICOM studies for PACS archiving.

European radiology Jul 5, 2022
OBJECTIVES: Over the course of their treatment, patients often switch hospitals, requiring staff at the new hospital to import external imaging studies to their local database. In this study, the authors present MOdality Mapping and Orchestration (MO...
Humans Neural Networks, Computer Algorithms Magnetic Resonance Imaging Databases, Factual Deep Learning
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Advantages of deep learning with convolutional neural network in detecting disc displacement of the temporomandibular joint in magnetic resonance imaging.

Scientific reports Jul 5, 2022
This study investigated the usefulness of deep learning-based automatic detection of anterior disc displacement (ADD) from magnetic resonance imaging (MRI) of patients with temporomandibular joint disorder (TMD). Sagittal MRI images of 2520 TMJs were...
Deep Learning Adolescent Magnetic Resonance Imaging Male Middle Aged Temporomandibular Joint Disorders Temporomandibular Joint Neural Networks, Computer Algorithms Young Adult Adult Female Humans
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Classifying tumor brain images using parallel deep learning algorithms.

Computers in biology and medicine Jul 4, 2022
One of the most important resources used in today's world is image. Medical images can play an essential role in helping diagnose diseases. Doctors and specialists use medical images to diagnose brain diseases. Convolution neural networks are among t...
Brain Neoplasms Neoplasms Algorithms Humans Magnetic Resonance Imaging Neural Networks, Computer Brain Deep Learning
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Deep Learning-Based Automatic Detection of Brain Metastases in Heterogenous Multi-Institutional Magnetic Resonance Imaging Sets: An Exploratory Analysis of NRG-CC001.

International journal of radiation oncology, biology, physics Jul 2, 2022
PURPOSE: Deep learning-based algorithms have been shown to be able to automatically detect and segment brain metastases (BMs) in magnetic resonance imaging, mostly based on single-institutional data sets. This work aimed to investigate the use of dee...
Brain Neoplasms Deep Learning Magnetic Resonance Imaging Humans Gadolinium Image Processing, Computer-Assisted
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