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Diffusion tensor image denoising via geometric invariant nonlocal means on the tensor manifold
Diffusion tensor imaging (DTI) is an advanced magnetic resonance technology that describes subtle brain structures using a diffusion tensor at each...
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Deep learning-based diffusion tensor image generation model: a proof-of-concept study
This study created an image-to-image translation model that synthesizes diffusion tensor images (DTI) from conventional diffusion weighted images,...
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A robust tensor watermarking algorithm for diffusion-tensor images
Watermarking algorithms that use convolution neural networks have exhibited good robustness in studies of deep learning networks. However, after...
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Reproducibility of automated calculation technique for diffusion tensor image analysis along the perivascular space
PurposeThe method of diffusion tensor image analysis along the perivascular space (DTI-ALPS) was gathering attention to evaluate the brain’s...
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To explore the pathogenesis of Bell's palsy using diffusion tensor image
To explore the pathogenesis of Bell's palsy using the diffusion tensor image on 3.0 T MR. The healthy people and the patients with Bell's palsy...
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Diffusion Tensor Imaging in Alzheimer’s Studies
In this chapter, we describe the use of quantitative metrics of white matter obtained from the diffusion tensor model based on diffusion-weighted...
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Diffusion Tensor Magnetic Resonance Imaging – Physical Principles
Diffusion tensor MR imaging (DTI) is an advanced technique, born out of conventional diffusion-weighted imaging, that is able to characterize...
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Increased glymphatic system activity in migraine chronification by diffusion tensor image analysis along the perivascular space
BackgroundPreliminary evidence suggests that several headache disorders may be associated with glymphatic dysfunction. However, no studies have been...
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Glymphatic system impairment in sleep disruption: diffusion tensor image analysis along the perivascular space (DTI-ALPS)
PurposeThis study aimed to evaluate the relationship between sleep quality as assessed using the Pittsburgh Sleep Quality Index (PSQI) and the index...
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Glymphatic system impairment in corticobasal syndrome: diffusion tensor image analysis along the perivascular space (DTI-ALPS)
PurposeThis study aimed to evaluate the along the perivascular space (ALPS) index based on the diffusion tensor image ALPS (DTI-ALPS) in corticobasal...
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TendiffPure: a convolutional tensor-train denoising diffusion model for purification
Diffusion models are effective purification methods, where the noises or adversarial attacks are removed using generative approaches before...
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Diffusion tensor imaging of the physis: the ABC’s
The physis, or growth plate, is the primary structure responsible for longitudinal growth of the long bones. Diffusion tensor imaging (DTI) is a...
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Do radiomics or diffusion-tensor images provide additional information to predict brain amyloid-beta positivity?
The aim of the present study was to predict amyloid-beta positivity using a conventional T1-weighted image, radiomics, and a diffusion-tensor image...
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Multisite harmonization of diffusion tensor image analysis along the perivascular space using the COMBined Association Test
PurposeThis multisite study aimed to use the COMBined Association Test (COMBAT), a harmonization technique that uses regression of covariates with an...
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Deep learning-based diffusion tensor cardiac magnetic resonance reconstruction: a comparison study
In vivo cardiac diffusion tensor imaging (cDTI) is a promising Magnetic Resonance Imaging (MRI) technique for evaluating the microstructure of...
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Diffusion Tensor Imaging
Diffusion-weighted imaging (DWI) is a critical tool for the MR assessment of ischemic changes of the brain and in the differential diagnosis of...
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Fast Acquisition for Diffusion Tensor Tractography
Diffusion tensor tractography is a powerful method for in-vivo white matter map**. Its implementation involves long scanning sessions to capture...
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Characterization of anthracycline-induced cardiotoxicity by diffusion tensor magnetic resonance imaging
Anthracyclines are highly potent anti-cancer drugs, but their clinical use is limited by severe cardiotoxic side effects. The impact of...
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Image inpainting algorithm based on tensor decomposition and weighted nuclear norm
For a damaged image, recovering an image with missing entire rows or columns is a challenging problem arising in many real applications, such as...
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Diffusion-Tensor Imaging Instrumentation
The previous chapter briefly described the physics behind the scalar derivative of diffusion-tensor imaging, i.e. fractional anisotropy. The current...