Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026

Digital Poster

Diffusion: DWI/DTI/DKI

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Diffusion: DWI/DTI/DKI
Digital Poster
Diffusion
Thursday, 14 May 2026
Digital Posters Row D
09:25 - 10:20
Session Number: 663-02
No CME/CE Credit
This session showcases diffusion MRI methods and applications throughout the body using diffusion tensor imaging (DTI), diffusion-weighted imaging (DWI) and diffusion kurtosis imaging (DKI).

  Figure 663-02-001.  PSMD revealed brain-wide white matter damage was associated with cognitive impairment in patients with narcolepsy type 1
Pengxin Hu, Jiankun Dai, Xiaoping Tang
The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, China
Impact: Our study indicated the damage of brain-wide white-matter microstructure was associated with mild cognition impairment in NT1 patients. This provides a potential target for early intervention and treatment of NT1-MCI patients.
  Figure 663-02-002.  Kurtosis time-dependence in an animal model of neuroinflammation
Paulina Villasenor, Ben Leverton, William Morrey, Graham Coutts, Ioana Mosneag, Catherine Lawrence, Ben Dickie
University of Manchester, Manchester, United Kingdom
Impact: Diffusion time-dependent kurtosis probed to be a sensitive approach for characterising the effects of different diffusion microenvironments, reflecting an increased cellular complexity and potentially altered water-exchange dynamics associated with acute neuroinflammatory responses, thereby indicating its potential utility as a biomarker.
  Figure 663-02-003.  Free water fraction as neuroinflammatory biomarker in chronic pain using NODDI
Chisondi Warioba, Yiyu Wang, Christine S W Law, Kenneth Weber, Sean Mackey
Stanford University, Stanford, United States of America
Impact: This study demonstrates that compartment-specific diffusion modeling reveals neuroinflammatory signatures in chronic pain invisible to conventional DTI, providing the first objective biomarker for pain severity that could guide targeted anti-inflammatory interventions and treatment monitoring.
  Figure 663-02-004.  A Zero-Shot SSL Framework for Joint Image Reconstruction and Biomarker Estimation in 2D/3D Under-Sampled MUSE-DTI
Chenglang Yuan, Shihui Chen, Liyuan Liang, Xiaorui Xu, HAILIN XIONG, Yi Li, Tianbaige Liu, QITING WU, Wing Yat Cheung, Sai Kam Hui, Qi DOU, Hing-Chiu Chang
The Chinese University of Hong Kong, Hong Kong, China
Impact: This framework enables the simultaneous reconstruction of DW-images and estimation of DTI-biomarkers within a clinically feasible acquisition time, without requiring fully-sampled ground truths for supervision. This advancement provides an efficient tool for high-fidelity, high-resolution DTI, thereby advancing clinical investigation.
  Figure 663-02-005.  Uncovering hidden white matter changes using free water corrected DTI in a 3-month migraine clinical trial with fremanezumab
Álvaro Planchuelo-Gómez, Alessandra Gallo, Álvaro Sierra, Yésica González-Osorio, Ángel Guerrero, Lorenzo Pérez-Sánchez, Raúl Moro, Antonio Tristán-Vega, Rodrigo de Luis García, David García-Azorín, Santiago Aja-Fernández
UNIVERSIDAD DE VALLADOLID, Valladolid, Spain
Impact: The use of the free water volume fraction combined with free water corrected DTI metrics opens up the assessment of white matter longitudinal structural changes associated with specific and distinct pathophysiological mechanisms linked to positive and negative response to treatment.
  Figure 663-02-006.  Perivascular Microstructure After AML Chemotherapy: Associations with Cognitive Outcomes
Peng Li, Ying Li, Yifei Zhang, Dongxue Qin
The Second Affiliated Hospital of Dalian Medical University, Dalian, China
Impact: perivascular microenvironments alterations may underlie cognitive deficits in Post-chemotherapy AML patients. The DTI-ALPS index and BG-PVS volume represent potential neuroimaging biomarkers, reflecting the occurrence of cognitive impairment following AML chemotherapy.
  Figure 663-02-007.  Dynamic diffusion-weighted imaging reveals compromised paravascular pulsatility in alzheimer’s disease mice at 9.4T
Yuqin Min, Huang Ning, Mingyan Wu, Xiangwei Zhu, Qiuting Wen, Xingfeng Shao, Fuhua Yan
Institute for Medical Imaging Technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Impact: This study provides in vivo evidence of compromised PVS CSF pulsatility in AD, establishing dDWI as a promising biomarker of glymphatic dysfunction in neurodegenerative disease models.
  Figure 663-02-008.  Microstructural Alterations in Catecholamine-Mediated Cardiomyopathy with Cardic Diffusion Tensor Imaging: An Initial Study
Ye Wang, Tianyi Li, Shihai Zhao, Keting Xu, Yu-bo Guo, Yuchi Liu, Jing An, xiaoming Liu, Lu Lin, Christopher Nguyen, Feng Feng, Anli Tong, Yining Wang
State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
Impact: Our findings highlight the potential of cDTI in the early detection of cardiomyocyte disorganization, thereby enhancing the role of CMR in the noninvasive myocardial tissue characterization of PPGL.
  Figure 663-02-009.  Automated DWI analysis for individualized prediction of malignant cerebral edema after acute ischemic stroke
Chun-Jung Juan, Cheng-Hsuan Juan, Chia-Hui Tsao, Ya-Hui Li, Chia-Ching Chang, Ming-Ting Tsai, Tung-Yang Lee, Cheng-En Juan, Hsu-Hsia Peng, Hsiao‐Wen Chung
China Medical University Hsinchu Hospital, Hsinchu, Taiwan
Impact: Automated diffusion-weighted imaging analysis integrating lesion and anatomical metrics provides accurate, individualized prediction of malignant cerebral edema after acute ischemic stroke, potentially improving early triage and surgical decision-making beyond conventional infarct-volume criteria.
  Figure 663-02-010.  Unsupervised learning on AMURA diffusion metrics for white matter characterization in migraine clinical subgroups
Alessandra Gallo, Antonio Tristán-Vega, Ángel Guerrero, David García-Azorín, Santiago Aja-Fernández, Rodrigo de Luis García, Álvaro Planchuelo-Gómez
UNIVERSIDAD DE VALLADOLID, Valladolid, Spain
Impact: The combination of AMURA metrics and unsupervised learning enables the identification of white matter alterations in neurological disorders, revealing distinct clinical phenotypes and structural patterns associated with disease chronification and disease features within a clinically feasible single-shell diffusion MRI acquisition.
  Figure 663-02-011.  The effect of T1-weighted MRI guidance on domain randomized Image Quality Transfer of DTI
Alp Cicimen, Henry F Tregidgo, Matteo Figini, Eirini Messaritaki, Carolyn McNabb, Marco Palombo, John Evans, Mara Cercignani, Derek Jones, Daniel Alexander
University College London, London, United Kingdom
Impact: Guidance from structural T1-weighted images can help improve the resolution of diffusion MRI by Image Quality Transfer with domain randomisation. This could provide high-quality data in conditions where it would be otherwise challenging, with more flexibility regarding input resolution.
  Figure 663-02-012.  Effect of Age and Sex on DTI-ALPS in Healthy Adults
Julia Chu, Rachel Sharkey, Cheryl McCreary, feryal SAAD, Eric Smith, Richard Frayne
University of Calgary, Calgary, Canada
Impact: Diffusion tensor image analysis along the perivascular space (DTI-ALPS) is a potentially useful biomarker for glymphatic function. To improve validation of this biomarker we need to verify changes with age and sex in healthy adults.
  Figure 663-02-013.  Evaluation of leg muscle fasciculations in in healthy volunteers using diffusion tensor imaging (DTI)
Karleen Oonk, Linda Heskamp, Boudewijn Sleutjes, Stephan Goedee, Leonard van den Berg, Martijn Froeling
University Medical Center Utrecht, Utrecht, Netherlands
Impact: 
Our study establishes MRI reference values for fasciculation characteristics, which depend on sex, age, and recent physical activity but not on BMI or LBM, and supports the role of fasciculations as a robust, non-invasive DTI biomarker for early ALS detection.
  Figure 663-02-014.  Microstructural MRI of the fetal brain: preliminary observations from in utero DTI and magnetization transfer imaging
Siddharth Sadanand, Rob Stobbe, Shiri Shinar, Tim van Mieghem, Elka Miller, Pradeep Krishnan, Greg Stanisz, Dafna Sussman
Toronto Metropolitan University, Toronto, Canada
Impact: This study demonstrates feasibility of a developed in-utero MT-weighted sequence for assessing fetal brain microstructure. White matter MTw signal correlated with NICU admission while DTI metrics correlated with postnatal development, suggesting complementary contrast mechanisms for non-invasive investigation of neurodevelopmental complications.

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