Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
464-02-003 ISMRM Abstract

Statistical Pore Imaging

Primary: Diffusion - Microstructure
Secondary: Diffusion - Diffusion Modeling
464-02-003 · Validating Diffusion MRI: Reproducibility, Simulations, and Phantoms · Tuesday, 12 May, 9:15 AM–10:10 AM · Digital Posters Row E
Keywords: Simulations Diffusion Modeling Microstructure Diffusion MRI Single Diffusion Encoding
Accepted
Yang Yang 1,2, Adam Threlfall2,3, Fenglei Zhou4,5, Marco Palombo2,3,6, Derek K Jones2,6, Salvatore Torquato7,8,9,10, Leandro Beltrachini1,2
1School of Physics and Astronomy, Cardiff University, Cardiff, United Kingdom
2Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom
3School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom
4MicroPhantoms Ltd, Cambridge, United Kingdom
5Department of Medical Physics and Biomedical Engineering, Centre for Medical Image Computing, London, United Kingdom
6School of Psychology, Cardiff University, Cardiff, United Kingdom
7Department of Physics, Princeton University, Princeton, United States of America
8Department of Chemistry, Princeton University, Princeton, United States of America
9Princeton Institute for the Science and Technology of Materials, Princeton University, Princeton, United States of America
10Program in Applied and Computational Mathematics, Princeton University, Princeton, United States of America
Presenting Author: Yang Yang

Synopsis

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References

1. H. ZHANG, T. SCHNEIDER, C. A. WHEELER-KINGSHOTT, AND D. C. ALEXANDER, “NODDI: PRACTICAL IN VIVO NEURITE ORIENTATION DISPERSION AND DENSITY IMAGING OF THE HUMAN BRAIN,” NEUROIMAGE, VOL. 61, PP. 1000–1016, JULY 2012. DOI: 10.1016/j.neuroimage.2012.03.072 [doi]
2. M. PALOMBO, A. IANUS, M. GUERRERI, D. NUNES, D. C. ALEXANDER, N. SHEMESH, AND H. ZHANG, “SANDI: A COMPARTMENT-BASED MODEL FOR NON-INVASIVE APPARENT SOMA AND NEURITE IMAGING BY DIFFUSION MRI,” NEUROIMAGE, VOL. 215, P. 116835, JULY 2020. DOI: 10.1016/j.neuroimage.2020.116835 [doi]
3. Y. JIAO, F. H. STILLINGER, AND S. TORQUATO, “A SUPERIOR DESCRIPTOR OF RANDOM TEXTURES AND ITS PREDICTIVE CAPACITY,” PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (PNAS), VOL. 106, NO. 42, PP. 17634–17639, OCT. 2009. DOI: 10.1073/pnas.0905919106 [doi]
4. C. L. Y. YEONG AND S. TORQUATO, “RECONSTRUCTING RANDOM MEDIA,” PHYSICAL REVIEW E, VOL. 57, PP. 495–506, JAN. 1998. DOI: 10.1103/PhysRevE.57.495 [doi]
5. P. P. MITRA AND B. I. HALPERIN, “EFFECTS OF FINITE GRADIENT-PULSE WIDTHS IN PULSED-FIELD-GRADIENT DIFFUSION MEASUREMENTS,” JOURNAL OF MAGNETIC RESONANCE, SERIES A, VOL. 113, NO. 1, PP. 94–101, 1995. DOI: 10.1006/JMRA.1995.1060 [doi]
6. P. CHARBONNIER, L. BLANC-FÉRAUD, G. AUBERT, AND M. BARLAUD, “DETERMINISTIC EDGE-PRESERVING REGULARIZATION IN COMPUTED IMAGING,” IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 6, NO. 2, PP. 298–311, FEB. 1997. DOI: 10.1109/83.551699 [doi]
7. K.-V. NGUYEN, E. HERNÁNDEZ-GARZÓN, AND J. VALETTE, “EFFICIENT GPU-BASED MONTE-CARLO SIMULATION OF DIFFUSION IN REAL ASTROCYTES RECONSTRUCTED FROM CONFOCAL MICROSCOPY,” JOURNAL OF MAGNETIC RESONANCE, VOL. 296, PP. 188–199, NOV. 2018. DOI: 10.1016/j.jmr.2018.09.013 [doi]
8. C. HUANG, C. H. HSU, F. ZHOU, S. KUSMIA, M. DRAKESMITH, G. J. M. PARKER, C. LIN, AND D. K. JONES, “VALIDATING PORE SIZE ESTIMATES IN A COMPLEX MICROFIBER ENVIRONMENT ON A HUMAN MRI SYSTEM,” MAGNETIC RESONANCE IN MEDICINE, VOL. 86, PP. 1514–1530, SEPT.2021. DOI: 10.1002/mrm.28810 [doi]

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http://echo.ismrm.org/p/ISMRM2026/464-02-003