ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

ISMRM & ISMRT 2025 Annual Meeting & Exhibition

Digital Poster

Diffusion Modeling, Software, Simulation

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Diffusion Modeling, Software, Simulation
Digital Poster
Diffusion
Wednesday, 14 May 2025
Exhibition Hall
16:45 -  17:45
Session Number: D-107
No CME/CE Credit

 
Computer Number: 65
4032. Free-Water-Eliminated (FWE)-SANDI for improving the accuracy of in vivo apparent soma and neurite imaging using high-gradient diffusion MRI
H. Lee, K-S Chan, Y. Ma, S. Huang, H-H Lee
Massachusetts General Hospital, Charlestown, United States
Impact: The proposed Free-Water-Eliminated (FWE)-SANDI model reduces the partial volume effect from free water and improves the accuracy of non-invasive microstructural imaging in the brain gray matter, allowing ones to better study underlying mechanisms of cellular changes in neurodevelopment and neurodegeneration.
 
Computer Number: 66
4033. An analytical model of restricted diffusion in dendritic spines.
K. Şimşek, M. Jallais, J. Valette, M. Palombo
Cardiff University, Cardiff, United Kingdom
Impact: We developed a biophysical model for characterizing diffusion MR signal from spiny dendrites, providing a foundation for designing dMRI/dMRS methods to non-invasively quantify changes in spine density and morphology, hallmarks of neuroplasticity, and several neurodegenerative diseases, and neurological disorders.
 
Computer Number: 67
4034. Comparison of Measures of Axonal Loss in Diffusion Models in Healthy Controls and Patients with Multiple Sclerosis at 3T
A. Witt, I. Stuart, L. Narisetti, G. Sweeney, K. O'Grady, S. Smith, S. By, K. Schilling
Vanderbilt University Institute of Imaging Science, Nashville, United States
Impact: Volume fraction measures from novel diffusion models are sensitive to disease pathology in brain and spinal cord lesions of patients with multiple sclerosis, providing evidence of the utility of specific diffusion measures to capture axonal loss.
 
Computer Number: 68
4035. Associations between iron and mean kurtosis in iron-rich grey matter nuclei in aging
J. Langley, K. Solis, V. Masjedizadeh, M. Shao, I. Bennett, X. Hu
University of Calfornia Riverside, Riverside, United States
Impact: Our findings indicate that higher mean kurtosis in iron-rich grey matter structures may be due to decreases in signal-to-noise ratios from iron deposition.
 
Computer Number: 69
4036. Predicting Mesoscopic Larmor Frequency Shifts in White Matter with Diffusion MRI - A Monte-Carlo Study in Axonal Phantoms
A. Sandgaard, S. Jespersen
Aarhus University, Aarhus, Denmark
Impact: µQSM may improve estimation of tissue magnetic susceptibility and lead to susceptibility imaging with higher diagnostic value.
 
Computer Number: 70
4037. Validation of Intravoxel Incoherent Motion MRI using Perfused Explanted Human Livers
G. Simchick, J. Rice, L. Gober, D. Rice, J. Philip, A. Roldan-Alzate, D. Hernando
University of Wisconsin-Madison, Madison, United States
Impact: Perfused explanted human livers may serve as biologically accurate systems for validating quantitative IVIM techniques. Importantly, perfused explanted livers contain two distinct compartments (i.e., diffusion and perfusion components of the IVIM signal were independent and dependent on flow rate, respectively).
 
Computer Number: 71
4038. Diagnostic Value of Using Time-Dependent Diffusion MRI to Identify Benign and Malignant Breast Tumors
L. Bao, T. Ji, Z. Wang, Y. Sun, Y. Qiu, Z. Shen, X. Zhang
The First Hospital of Jilin University , changchun, China
Impact: The study's findings could improve diagnostic strategies for clinicians, enhancing early breast cancer detection and treatment planning. It paves the way for further research on TD-MRI applications in other cancer types, ultimately benefiting patient outcomes and overall care.
 
Computer Number: 72
4039. Numerical Validation of Multi-Compartment Diffusion Biomarkers of Peripheral Nerve Trauma
T. Ketsiri, K. Chen, J. Xu, R. Dortch
Barrow Neurological Institute, Phoenix, United States
Impact: The spherical mean technique (SMT), a multi-compartmental diffusion MRI model, demonstrated potential as a biomarker of peripheral nerve regeneration following injury and surgical repair.  
 
Computer Number: 73
4040. Tractfinder for paediatric optic radiation segmentation
Y. J. Li, K. Seunarine, J. Clayden, C. Clark
University College London, London, United Kingdom
Impact:

Manual tasks and requirement for user-expertise in tractography pipelines hinder utilisation in clinical settings. We show Tractfinder’s potential for fast, reliable tract segmentation in paediatric patients and control datasets, reducing workload and eliminating the need for specialist tractography training.

 
Computer Number: 74
4041. Rotation-Free Estimation of Anisotropic Transverse Relaxation & Larmor Frequency with Diffusion MRI: A Monte Carlo Study in Axonal Phantoms
A. Sandgaard, S. Jespersen
Aarhus University, Aarhus, Denmark
Impact: Modeling a multi-spin-echo diffusion MRI signal with delayed read-outs per echo enables estimation of orientation-dependent susceptibility parameters without imaging multiple sample orientations. This approach could improve sensitivity to tissue characteristics, aiding studies of myelination and other white matter features.
 
Computer Number: 75
4042. Histologically Informed Periodic Axon Substrate Generator for Time-Dependent Diffusion MRI
T. Nguyen, M. Does, K. Harkins
Vanderbilt University, Nashville, United States
Impact:

The framework developed can facilitate more accurate Monte Carlo simulations without confounding effects of boundary artifacts for investigating microstructural contributions to diffusion MRI.

 
Computer Number: 76
4043. MyCaliber: Axon diameter mapping from myelin water diffusion -- Theory, Resolution Limit, and Monte Carlo simulations
H. H. Lee, D. Novikov, E. Fieremans, S. Huang
Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, United States
Impact: Measuring restricted diffusion of myelin water in-between myelin sheaths using diffusion MRI enables to in vivo measure axon radius. Simulation results demonstrated its applicability at SNR≥5 on Connectome 2.0 scanner. The protocol can be adapted for clinically available high-gradient-performance scanners.
 
Computer Number: 77
4044. Validation of MRI diffusion models using synchrotron radiation imaging in custom microstructural phantoms
A. Maiuro, M. Fratini, L. Massimi, S. Cipiccia, S. Marathe, D. Batey, F. Zhou, G. Parker, S. Capuani, M. Palombo
Sapienza University of Rome, Rome, Italy
Impact:

A multi-scale approach based on XPCT has been proposed for validating dMRI models applied on DW data obtained on brain-mimicking phantoms. The agreement between dMRI and XPCTresults pave the way for new possibilities of dMRI validation in ex-vivo brain samples.

 
Computer Number: 78
4045. Diffusion MRI-based Explicit Microstructural Imaging Analysis
F. Liu, Z. Wang, L. Chen, W. Zhong, J. Xu, H. Guo, D. Shi
Center for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China
Impact: Clinical applications of cell size imaging are limited by current implicit model fitting, which is time-consuming and poorly reproducible. We developed an explicit imaging method by designing diffusion-weighted sequences, improving unstable fitting and shortening computational time.
 
Computer Number: 79
4046. Histology Validation of Generalized Diffusion Basis Spectrum Imaging in Postmortem Alzheimer Disease Brain
M. Jiang, W. Wu, Y. Nan, A. Patel, E. Franklin, R. Perrin, T. Benzinger, Y. Wang, Q. Wang
Washington University School of Medicine, Saint Louis, United States
Impact: g-DBSI could enable earlier, non-invasive monitoring of AD progression, offering a valuable tool for studying neuroinflammation and cellular changes directly in gray matter.
 
Computer Number: 80
4047. Multi-echo NODDI with released intrinsic diffusivity in the healthy human brain tissue
E. Farrher, K-H Cho, R. Buschbeck, C-W Chiang, S-M Huang, M-J Chen, C-H Choi, L-W Kuo, N. J. Shah
Forschungszentrum Jülich, Jülich, Germany
Impact: Incorporating an l2-norm regularisation term into the estimation of MTE-NODDI parameters allows the intrinsic diffusivity to be released whilst ensuring fitting stability. This opens the possibility of using MTE-NODDI to investigate a great variety of tissue pathologies.
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