Diffusion Microstructure and Beyond
Digital Poster
Diffusion
Thursday, 14 May 2026
This session will have methods on dMRI derived microstructure
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667-02-001.
Investigating the effects of spectral anisotropy in b-tensor diffusion encoding using combined OGSE-STE waveforms at 15.2 T
Impact: This
work shows that spectral anisotropy in spherical tensor encoding has limited
influence on tensor-valued metrics, but that the method used for spectral tuning
between spherical and linear encoding acquisitions can impact microscopic
anisotropy estimates.
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667-02-002.
Evaluating Cellular Proliferation and IDH mutation Status in Glioma Using Multiple Diffusion Models
Impact: This study demonstrates that advanced diffusion models, particularly the tri-exponential model (TEM), can noninvasively and accurately predict key molecular markers in gliomas, offering a promising imaging biomarker approach to guide personalized treatment planning and improve patient prognosis.
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667-02-003.
Enhancing High b-value Diffusion MRI Microstructure Mapping with CASA Denoising
Impact: Component Analysis based on Standard-deviation Attenuation (CASA) denoising can improve brain microstructure estimation obtained from diffusion MRI at high b-values, bringing brain tissue microstructure modelling closer to clinical feasibility and strengthening the link between diffusion MRI signals and neurobiological interpretation.
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667-02-004.
Diffusion MRI Reveals SF1 Overexpression–Induced Microstructural and Connectivity Changes in 3xTG Alzheimer’s Mice
Impact: Diffusion MRI reveals that SF1 overexpression partially restores microstructural integrity and long-range connectivity in 3xTg Alzheimer’s mice, particularly in auditory and motor-associated regions, suggesting NAD⁺-mediated modulation of neuroinflammation and network repair.
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667-02-005.
Assessing White Matter Damage in Mesial Temporal Lobe Epilepsy via Peak Width of Skeletonized Mean Diffusivity
Impact: This study indicates that PSMD effectively reflects white matter damage in MRI-negative MTLE, offering a valuable imaging tool for assessment.
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667-02-006.
Kurtosis-based Imaging of Neurite and Soma Architecture (KINSA) with water exchange
Impact: We developed a KINSA model with water exchange dominantly reflected by
neurite-extracellular exchange. Through water-exchange KINSA model, the
kurtosis change sensitive to exchange was measured with real
multi-diffusion-time marmoset dMRI data, enabling delineating the soma and
neurite contributions to kurtosis.
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667-02-007.
In Vivo Axon Radius Asymmetry Mapping using Axonal Diameter Imaging (AXDI) on High Performance Gradient 3T MRI System
Impact: Our findings establish Axonal Diameter Imaging (AXDI) for
mapping hemispheric axon radius asymmetry, revealing a left-larger-than-right
pattern. This provides neuroscientists a direct microstructural metric to
re-evaluate white matter organization and its links to cognition, aging, and
neuropsychiatric disorders.
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667-02-008.
Impact of Maximum b-Value in Q-Space Trajectory Imaging of White Matter
Impact: Scaling the b-value scheme ($b_\mathrm{max}\!\in\![1250,2900]\,\mathrm{s/mm^2}$) yields modest absolute
microparameter shifts and largely stable microscopic anisotropy in QTI of human
white matter. This may guide pragmatic protocol design, e.g. in the presence
of hardware limits.
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667-02-009.
Probing axonal loss and inflammation in a chronic stroke patient using clinical soma and neurite density imaging: case study
Impact: Clinical soma and neurite density imaging
(SANDI)-derived parameters could serve as non-invasive biomarkers to
characterize microstructural alterations in stroke patients on clinical
scanners in 14 min, potentially useful for guiding individualized
rehabilitation and monitoring treatment response.
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667-02-010.
Diffusion Complexity Mapping Enhances Visualization of Hippocampus Abnormalities in Focal Epilepsy
Impact: Conventional DTI metrics have poor gray matter contrast. Our novel Diffusion Complexity (DC) metric provides a high-contrast visualization of the epileptogenic hippocampus, offering a promising new biomarker to improve non-invasive analysis in focal epilepsy.
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667-02-011.
Solid-Fluid Coupling in the Brain by Mechanical and Microstructural Examination
Impact: This study bridges diffusion and mechanical properties from MRI, enabling in vivo quantification of fluid-solid coupling in the human brain. The method opens up for new understanding of microstructural and mechanical relationships allowing probing of ECM alterations in neurological disorders.
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667-02-012.
Nonlinear Age-Related Changes in in Brain Microstructure from Middle- to Old-Age
Impact: Multi-shell diffusion imaging may reveal brain regions with accelerated decline in tissue microstructure during aging. This may be useful to detect early cognitive changes.
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667-02-013.
Quantitative mapping of brain tumour microenvironment heterogeneity with VERDICT-MRI
Impact: VERDICT-MRI
could provide more specific biomarkers of brain tumour microenvironment than
conventional dMRI techniques. If this is confirmed in larger groups, VERDICT
could be a crucial non-invasive tool for brain tumour treatment planning and
reduce the need for invasive procedures.
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667-02-014.
Relating microstructural properties of tendon and ligament to diffusion MRI metrics
Impact: The relationships identified in this study will improve the interpretability
of DTI for clinical and computational studies of tendon structure and function.
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667-02-015.
NENSI: a new, clinically-feasible microstructure model of diffusion and relaxation in the brain tissue
Impact: Non-Exchanging Neurites and Somas Imaging (NENSI) enables a robust estimation of the quantities of Neurites and Somas, as well as proxies of their sizes, in the human brain on a clinical scanner using a three-shell PGSE protocol with limited assumptions.
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