All About Diffusion
Digital Poster
Diffusion
Monday, 11 May 2026
This session showcases the breadth of diffusion MRI research, featuring diverse contributions spanning acquisition, reconstruction, analysis, and application. Topics range from pulse sequence innovations and modeling approaches to clinical and neuroscientific investigations across various anatomical regions.
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363-02-001.
Predictive Value of IVIM-DWI Parameters and Clinicopathological Features for KRAS Mutation in Rectal Cancer
Impact: This study demonstrates that IVIM-DWI parameters, combined with clinicopathological stratification, can noninvasively predict KRAS mutation status in rectal cancer, enabling precision treatment planning and offering a foundation for future radiogenomic and prognostic research.
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363-02-002.
The Value of ADC₁₀ from Global Histogram Analysis in Differentiating Borderline from Malignant Epithelial Ovarian Tumors
Impact: Accurately distinguishing borderline from malignant ovarian tumors preoperatively is crucial for surgical planning. Our study identifies the 10th percentile ADC value as a highly effective, non-invasive biomarker for this critical differentiation.
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363-02-003.
Structural Changes in Gray Matter and White Matter across the Alzheimer's disease continuum
Impact: To evaluate the transmission pattern of AD characteristic pathology in memory circuits based on AD cohort population in vivo, and to provide strong support for the investigation of AD pathological changes.
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363-02-004.
Introducing the GAussian-Sum Propagator (GASP). Range-Limited Microstructure Mapping Exemplified in Stroke
Impact: GASP yields model-independent propagators with analytic metrics, computed rapidly from NNLS spectra, over a whole or range-limited diffusivity spectrum. This isolates biologically meaningful mobility ranges—e.g. core and penumbra in stroke—while avoiding instability from direct Fourier inversion of limited q-space.
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363-02-005.
Intravoxel incoherent motion imaging of masticatory myofascial pain syndrome in the masseter muscle
Impact: Preliminary data suggest that IVIM MRI may be sensitive to structural changes
in masseter muscle characteristic to myofascial pain syndrome. Comparison of IVIM parameters
measured with and without flow compensation may further enhance the specificity
of this technique.
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363-02-006.
Clinical Validation of a Deep-Learning based Multi-Dimensional Diffusion Encoding for Enhanced Stroke Microstructural Imaging
Impact:
This study addresses the critical clinical challenge of ambiguous tissue characterization in stroke imaging by optimizing a multi-dimensional diffusion encoding protocol to accurately distinguish infarct core from salvageable tissue, guiding personalized treatment and improving patient outcomes. |
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363-02-007.
Time-Dependent Diffusion MRI for Predicting Response to Induction Chemotherapy in Nasopharyngeal Carcinoma
Impact: Time-dependent diffusion MRI-based
microstructural mapping shows potential as a non-invasive method for predicting
induction chemotherapy response in nasopharyngeal carcinoma.
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363-02-008.
Characterization of Subendocardial Microstructural Changes in Hypertrophic Cardiomyopathy (HCM) Patient-A Pilot Study
Impact: Differences in cDTI-derived HA parameters within the subendocardial layer have been identified between the HC and HCM groups，which may provide basis for identifying the pathological process in HCM.
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363-02-009.
Modular Level Alterations Of Structural-Functional Connectivity Coupling in type 2 diabetes mellitus
Impact: Module-resolved SC–FC coupling reveals early, clinically meaningful network reorganization in T2DM. Findings link coupling shifts to glycemic and inflammatory markers, nominating quantitative MR-based biomarkers to stage risk and monitor interventions beyond conventional single-modality metrics.
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363-02-010.
Multiparametric MRI-based radiomics with machine learning for evaluating lymphovascular space invasion in cervical cancer
Impact: This study enables a non-invasive, preoperative prediction of lymphovascular space invasion in cervical cancer using accessible MRI. It may empower clinicians to personalize treatment strategies, potentially improving patient outcomes by informing earlier interventions.
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363-02-011.
Apparent Diffusion Coefficient Histogram Analysis Predicts Stromal Content, Proliferation, and Hypoxia in Gastric Cancer
Impact: ADC histogram parameters provide noninvasive insight into stromal composition, proliferation, and hypoxia in gastric cancer. These findings establish imaging biomarkers for tumor microenvironment assessment, enabling personalized monitoring and prompting further research into MRI-based predictors of treatment response and tumor biology.
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363-02-012.
Fat Saturation Methods for Diffusion-weighted EPI: A Quantitative Comparison in an Open-source Sequence
Impact: The work provides a
template for effective open-source fat saturation methods suitable for
diffusion weighted EPI sequences.
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363-02-013.
Influence of Fiber Microstructure on ALPS and Utility of Modified ALPS in Patients with Cerebral Small Vessel Disease
Impact: White matter microstructural asymmetry of ALPS varies with CSVD burden and age. This indicates that microstructural asymmetry may serve as a useful biomarker for CSVD, without the risk of being misinterpreted as glymphatic function.
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363-02-014.
Assessing the performance of on-scanner geometric distortion correction for whole-body diffusion weighted imaging
Impact: The proposed automated image quality assessment for inline geometric distortion correction software showed that image quality can be improved for whole-body diffusion weighted imaging by reducing artifacts and discontinuities.
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