AIMC Topic: Diffusion Magnetic Resonance Imaging

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Improving interobserver agreement and performance of deep learning models for segmenting acute ischemic stroke by combining DWI with optimized ADC thresholds.

European radiology Feb 24, 2022
OBJECTIVES: To examine the role of ADC threshold on agreement across observers and deep learning models (DLMs) plus segmentation performance of DLMs for acute ischemic stroke (AIS).
Deep Learning Ischemic Stroke Humans Observer Variation Diffusion Magnetic Resonance Imaging Stroke
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Deep learning approach of diffusion-weighted imaging as an outcome predictor in laryngeal and hypopharyngeal cancer patients with radiotherapy-related curative treatment: a preliminary study.

European radiology Feb 24, 2022
OBJECTIVES: This preliminary study aimed to develop a deep learning (DL) model using diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) maps to predict local recurrence and 2-year progression-free survival (PFS) in laryngeal an...
Neoplasm Recurrence, Local Chemoradiotherapy Hypopharyngeal Neoplasms Diffusion Magnetic Resonance Imaging Retrospective Studies Deep Learning Humans Prognosis
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Deep learning models for triaging hospital head MRI examinations.

Medical image analysis Feb 12, 2022
The growing demand for head magnetic resonance imaging (MRI) examinations, along with a global shortage of radiologists, has led to an increase in the time taken to report head MRI scans in recent years. For many neurological conditions, this delay c...
Magnetic Resonance Imaging Triage Hospitals Deep Learning Diffusion Magnetic Resonance Imaging Humans
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DIFFnet: Diffusion Parameter Mapping Network Generalized for Input Diffusion Gradient Schemes and b-Value.

IEEE transactions on medical imaging Feb 2, 2022
In MRI, deep neural networks have been proposed to reconstruct diffusion model parameters. However, the inputs of the networks were designed for a specific diffusion gradient scheme (i.e., diffusion gradient directions and numbers) and a specific b-v...
Humans Neural Networks, Computer Neurites Diffusion Tensor Imaging Diffusion Magnetic Resonance Imaging Brain Magnetic Resonance Imaging
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Better Image Quality for Diffusion-weighted MRI of the Prostate Using Deep Learning.

Radiology Feb 1, 2022
Male Deep Learning Prostate Humans Pelvis Diffusion Magnetic Resonance Imaging
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Deep Learning Reconstruction of Diffusion-weighted MRI Improves Image Quality for Prostatic Imaging.

Radiology Feb 1, 2022
Background Deep learning reconstruction (DLR) may improve image quality. However, its impact on diffusion-weighted imaging (DWI) of the prostate has yet to be assessed. Purpose To determine whether DLR can improve image quality of diffusion-weighted ...
Prostate Diffusion Magnetic Resonance Imaging Aged Male Deep Learning Prostatic Neoplasms Middle Aged Humans Retrospective Studies
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Jointly estimating parametric maps of multiple diffusion models from undersampled q-space data: A comparison of three deep learning approaches.

Magnetic resonance in medicine Jan 26, 2022
PURPOSE: While advanced diffusion techniques have been found valuable in many studies, their clinical availability has been hampered partly due to their long scan times. Moreover, each diffusion technique can only extract a few relevant microstructur...
Diffusion Tensor Imaging Algorithms Diffusion Magnetic Resonance Imaging Neural Networks, Computer Deep Learning Brain Image Processing, Computer-Assisted
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Volumetric segmentation of white matter tracts with label embedding.

NeuroImage Jan 26, 2022
Convolutional neural networks have achieved state-of-the-art performance for white matter (WM) tract segmentation based on diffusion magnetic resonance imaging (dMRI). However, the segmentation can still be difficult for challenging WM tracts with th...
Image Processing, Computer-Assisted White Matter Diffusion Magnetic Resonance Imaging Datasets as Topic Humans Neural Networks, Computer
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An Unsupervised Deep Learning Approach for Dynamic-Exponential Intravoxel Incoherent Motion MRI Modeling and Parameter Estimation in the Liver.

Journal of magnetic resonance imaging : JMRI Jan 22, 2022
BACKGROUND: Dynamic-exponential intravoxel incoherent motion (IVIM) imaging is a potential technique for prediction, monitoring, and differential diagnosis of hepatic diseases, especially liver tumors. However, the use of such technique at voxel leve...
Diffusion Magnetic Resonance Imaging Liver Motion Male Deep Learning Reproducibility of Results Young Adult Adult Humans Prospective Studies
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Editorial for "An Unsupervised Deep Learning Approach for Dynamic-Exponential Intravoxel Incoherent Motion MRI Modeling and Parameter Estimation in the Liver".

Journal of magnetic resonance imaging : JMRI Jan 21, 2022
Humans Deep Learning Magnetic Resonance Imaging Reproducibility of Results Diffusion Magnetic Resonance Imaging Liver Motion
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