Diffusion MRI Analysis
Digital Poster
Diffusion
Tuesday, 12 May 2026
This session presents diffusion MRI analysis methods and their applications across the brain, body, and spine. Topics include intravoxel incoherent motion (IVIM) imaging, diffusion kurtosis, and other quantitative approaches for probing tissue diffusion and perfusion characteristics.
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464-01-001.
Comparison of Continuous Signal Representations for Multi-Tissue Spherical Deconvolution of Non-shelled Diffusion MRI Data
Impact: This work identifies a more appropriate continuous signal representation to allow MSMT-CSD analysis of previously incompatible diffusion MRI data, particularly Diffusion Spectrum Imaging data and data acquired in the presence of gradient non-linearities.
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464-01-002.
Integrating diffusion-weighted MRI radiomics features to predict brain invasion of meningiomas
Impact: The incorporation of ADC radiomics into the MRI radiomic model improved
the diagnostic performance for identifying brain invasion in meningiomas.
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464-01-003.
The Impact of Denoising and Artifact Correction Pipelines on Apparent Diffusion Coefficient Quantification in Prostate MRI
Impact: The systematic evaluation of dMRI preprocessing will determine if advanced pipelines, commonplace in brain imaging, are necessary for robust prostate ADC quantification. This will guide clinical adoption, ensuring ADC values are reliable biomarkers for prostate cancer diagnosis.
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464-01-004.
ODF-Guided Deep Learning for Super-Resolution of Diffusion MRI
Impact: This
work enables accurate super-resolution of diffusion MRI across field strengths,
reconstructing sub-voxel microstructural detail from coarse data. It enhances
microstructure mapping, from lower-resolution acquisitions, advancing
precision neuroimaging across both high- and low-field systems while reducing
scan time and cost.
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464-01-005.
VERDICT MRI for the detection of transition zone clinically significant prostate cancer
Impact: the VERDICT enabled excellent classification of clinically significant prostate cancer and offers men with positive multiparametric MRI findings who are likely to have clinically insignificant biopsy results the opportunity to potentially avoid unnecessary biopsy.
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464-01-006.
Perfusion Alters Diffusion MRI Metrics: Disentangling Vascular, CSF, Tissue Contributions across b-Values during Vasodilation
Impact: This work reveals that cerebral perfusion can systematically bias dMRI metrics across diffusion weightings and tissue types, emphasizing the need to account for vascular contributions when interpreting dMRI data and improving the accuracy of microstructural assessments in the human brain.
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464-01-007.
Deep Learning Super-Resolution Improves Image Quality and Sharpness in Diffusion Tensor Imaging of the Brachial Plexus
Impact: Deep‑learning super‑resolution reconstruction improves image
quality and quantitative metrics of brachial plexus DTI without prolonging scan
time. This approach could be applied to other complex peripheral nerves to
investigate nerve conditions with improved clarity.
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464-01-008.
Cerebral Gray and White Matter Changes in Subjective Cognitive Decline Patients Based on DTI and 3D-T1WI Imaging
Impact: This study found that patients already exhibit structural changes in both grey and white matter in their brains as early as the stage of subjective cognitive decline.
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464-01-009.
Uncertainty Quantification for Cardiac Diffusion Tensor Imaging
Impact: This work demonstrates that uncertainty quantification in cardiac diffusion tensor imaging allows for uncertainty weighted summary statistics of myocardial properties, as well as providing confidence assessments for maps of various diffusion measures. This will be crucial for future clinical applications.
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464-01-010.
Variations in MR Cytometry Results across Different Acquisition Protocols for Prostate Imaging
Impact: This
reproducibility study quantified variations of MR-cytometry results across
different acquisitions (same scanner). In prostate imaging, low correlations
between partial results obtained from two distinct protocols suggested that
MR-cytometry parameters are acquisition-dependent, rather than complete
reflection of true biophysical characteristics.
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464-01-011.
Intravoxel Incoherent Motion (IVIM) in adipose tissue in vivo: a feasibility study
Impact: IVIM studies of water in adipose tissue are difficult to perform due to
their low water content and the need for effective fat suppression, which is the source
of artifacts. This study shows the faisability of IVIM in adipose tissues.
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464-01-012.
Application value of non-Gaussian diffusion MRI for evaluating clinical types of endometrial carcinoma
Impact: We initially investigated the utility of CTRW and FROC in differentiating clinical types of EC. These advanced diffusion models provide valuable insights into tumor microstructure and heterogeneity, potentially aiding in preoperative risk assessment and personalized treatment planning.
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464-01-013.
Skeletal muscle characterisation with a diffusion-relaxation model, and implications for perfusion fraction estimation
Impact: Combined diffusion-relaxation MRI
can provide more estimations of muscle tissue properties not confounded by the
interaction between diffusion and relaxation processes. These non-invasive biomarkers
could reduce the need for invasive biopsies in several applications including sport,
rehabilitation and neuromuscular diseases.
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464-01-014.
SANDI-Based Multi-Compartment Diffusion MRI of Spinal Cord Injury
Impact: Spinal cord injury causes neuronal loss, axonal degeneration, and reactive gliosis. While DTI is sensitive, specificity is limited. SANDI-based multi-compartment diffusion MRI partitions soma, neurite, and extracellular signals and has potential to provide precise biomarkers for pathophysiology and therapy response.
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464-01-015.
Influence of Pulsating CSF Flow on Spinal Cord DTI in Partial Volume Voxels: A Simulation and In Vivo Study
Impact: This study addresses a knowledge gap in spinal cord DTI by elucidating effects of pulsating CSF flow in partial volume voxels. Using an adapted simulation framework and in vivo observation, it provides insights into how CSF flow alters DTI metrics.
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464-01-016.
A database of normative DTI values in the pediatric cervical spinal cord
Impact: This study establishes the first open-source database of normative pediatric cervical spinal cord DTI values (ages 6-17 years), enabling investigations of age-related microstructural changes in the pediatric spinal cord and future studies on pediatric spinal cord injuries.
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