AIMC Topic: Diffusion Tensor Imaging

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CNTSeg: A multimodal deep-learning-based network for cranial nerves tract segmentation.

Medical image analysis Feb 10, 2023
The segmentation of cranial nerves (CNs) tracts based on diffusion magnetic resonance imaging (dMRI) provides a valuable quantitative tool for the analysis of the morphology and course of individual CNs. Tractography-based approaches can describe and...
Humans Deep Learning Cranial Nerves Diffusion Tensor Imaging Diffusion Magnetic Resonance Imaging Image Processing, Computer-Assisted Optic Nerve
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dtiRIM: A generalisable deep learning method for diffusion tensor imaging.

NeuroImage Jan 24, 2023
Diffusion weighted MRI is an indispensable tool for routine patient screening and diagnostics of pathology. Recently, several deep learning methods have been proposed to quantify diffusion parameters, but poor generalisation to new data prevents broa...
Diffusion Tensor Imaging Diffusion Magnetic Resonance Imaging Humans Software Computer Simulation Deep Learning
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Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions.

Medical image analysis Jan 23, 2023
Diffusion MRI tractography is an advanced imaging technique that enables in vivo mapping of the brain's white matter connections. White matter parcellation classifies tractography streamlines into clusters or anatomically meaningful tracts. It enable...
Humans Brain Infant, Newborn Cloud Computing White Matter Diffusion Tensor Imaging Deep Learning Image Processing, Computer-Assisted
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Multi-modality MRI for Alzheimer's disease detection using deep learning.

Physical and engineering sciences in medicine Sep 5, 2022
Diffusion tensor imaging (DTI) is a new technology in magnetic resonance imaging, which allows us to observe the insightful structure of the human body in vivo and non-invasively. It identifies the microstructure of white matter (WM) connectivity by ...
Magnetic Resonance Imaging Alzheimer Disease Humans Deep Learning Diffusion Tensor Imaging Atrophy
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Synthetically trained convolutional neural networks for improved tensor estimation from free-breathing cardiac DTI.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society May 21, 2022
Cardiac diffusion tensor imaging (cDTI) provides invaluable information about the state of myocardial microstructure. For further clinical dissemination, free-breathing acquisitions are desired, which however require image registration prior to tenso...
Algorithms Heart Signal-To-Noise Ratio Diffusion Tensor Imaging Humans Neural Networks, Computer
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Mitigating transmit-B artifacts by predicting parallel transmission images with deep learning: A feasibility study using high-resolution whole-brain diffusion at 7 Tesla.

Magnetic resonance in medicine Apr 10, 2022
PURPOSE: To propose a novel deep learning (DL) approach to transmit-B (B )-artifact mitigation without direct use of parallel transmission (pTx), by predicting pTx images from single-channel transmission (sTx) images.
Artifacts Diffusion Tensor Imaging Humans Image Processing, Computer-Assisted Brain Deep Learning Feasibility Studies
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Deep learning based diagnosis of Parkinson's Disease using diffusion magnetic resonance imaging.

Brain imaging and behavior Mar 14, 2022
The diagnostic performance of a combined architecture on Parkinson's disease using diffusion tensor imaging was evaluated. A convolutional neural network was trained from multiple parcellated brain regions. A greedy algorithm was proposed to combine ...
Diffusion Tensor Imaging Diffusion Magnetic Resonance Imaging Magnetic Resonance Imaging Parkinson Disease Middle Aged Deep Learning Humans Retrospective Studies Aged
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SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI.

NeuroImage Mar 1, 2022
Diffusion tensor magnetic resonance imaging (DTI) is a widely adopted neuroimaging method for the in vivo mapping of brain tissue microstructure and white matter tracts. Nonetheless, the noise in the diffusion-weighted images (DWIs) decreases the acc...
Humans Neural Networks, Computer Signal-To-Noise Ratio Diffusion Tensor Imaging Deep Learning Image Processing, Computer-Assisted
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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...
Magnetic Resonance Imaging Neurites Neural Networks, Computer Brain Humans Diffusion Tensor Imaging Diffusion Magnetic Resonance Imaging
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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...
Image Processing, Computer-Assisted Brain Neural Networks, Computer Diffusion Magnetic Resonance Imaging Diffusion Tensor Imaging Deep Learning Algorithms
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