ISMRM25 - Electro-Magnetic Tissue Properties I

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

Electro-Magnetic Tissue Properties I

Digital Poster

Contrast Mechanisms

Wednesday, 14 May 2025

Exhibition Hall

08:15 - 09:15

Session Number: D-82

No CME/CE Credit

		Computer Number: 81 3264. Green-EPT View Presentation Video L. Zilberti, A. Arduino, U. Zanovello, J. Martinez Martinez, K. Moulin, A. Troia, O. Bottauscio Istituto Nazionale di Ricerca Metrologica, Torino, Italy Impact: Green-EPT is a new approach for MR-based Electric Properties Tomography. Validation tests, including in vivo studies, demonstrate that the approach performs well and is worth pursuing further.
		Computer Number: 82 3265. Susceptibility source separation unveils iron and myelin trajectories in healthy brain development and aging View Presentation Video T. Oliveira Assuncao, N. Naji, P. Seres, C. Beaulieu, A. Wilman University of Alberta, Edmonton, Canada Impact: Paramagnetic and diamagnetic maps unveiled independent iron and myelin trajectories in development and aging, removing confounds found in total susceptibility.
		Computer Number: 83 3266. Investigating the association between conductivity and brain development over the neonatal period View Presentation Video A. Boutillon, R. Kurtzbard, O. Gale-Grant, A. Price, J. Hand, D. Batalle, M. Deprez, S. Malik King's College London, London, United Kingdom Impact: This preliminary study showed a consistent and significant linear decrease in brain conductivity (-0.012 to -0.014 S/m/week) during the neonatal period. This is likely driven by changes in water content, but future work will explore a biophysical explanation.
		Computer Number: 84 3267. Improving Data Consistency and Generalizability in Deep Learning-Based QSM Reconstruction View Presentation Video Y. Zhang, Y. Li, R. Liu, Z. Ke, W. Jin, Y. Zhao, Y. Li, Z-P Liang University of Illinois at Urbana-Champaign, Urbana, United States Impact: With improved data consistency and generalizability, the proposed method could significantly enhance the reliability of AI-powered QSM reconstruction, making it a practically useful tool to support a wide range of QSM studies in scientific and clinical applications.
		Computer Number: 85 3268. Exploring vessel artifacts in χ-separation View Presentation Video T. Kim, S. Ji, J. Lee Seoul National University, Seoul, Korea, Republic of Impact: This study identifies sources of vessel artifacts in χ-separation, improving our understanding of χ-separation maps and also suggesting the need for caution when analyzing χ-separation.
		Computer Number: 86 3269. On-scanner Reconstruction for Susceptibility Source Separation View Presentation Video N. Naji, J. Grenier, J. Snyder, K. Chow, L. Cui, G. Moran, A. Wilman University of Alberta, Edmonton, Canada Impact: The implemented reconstruction tool enables producing para- and diamagnetic maps directly on the manufacturer’s scanners without the need for offline processing.
		Computer Number: 87 3270. Quantitative Susceptibility Mapping at 7T Using Bilateral Orthogonality Generative Acquisitions Method View Presentation Video Ç. Boğa, Y. Huang, J. Liu, A. Henning UT Southwestern Medical Center , Dallas, United States Impact: Effects of the transmit field inhomogeneity on susceptibility mapping can be eliminated with BOGA method, particularly at lower brain regions. Which can further increase the utilization of susceptibility mapping in lower brain regions.
		Computer Number: 88 3271. Evaluating the Static Dephasing Regime Assumption for Gradient Echo Signal in Brain Cells View Presentation Video A. Alpman, C. Liu University of California, Berkeley, Berkeley, United States Impact: The static dephasing assumption, commonly used to model magnetic susceptibility effect within a voxel, may fail in brain microstructure, particularly in regions with restricted/hindered diffusion and high axonal volume fraction, highlighting the necessity of incorporating diffusion effects.
		Computer Number: 89 3272. Conductivity reconstructions with polynomial fitting using subvoxel FOV shifts View Presentation Video T. Meerbothe, C. van den Berg, S. Mandija University Medical Center Utrecht, Utrecht, Netherlands Impact: With multiple low-resolution Cartesian acquisitions using subvoxel-shifts, reconstructed conductivity is more robust to noise, in comparison to conventional methods for similar scan times. The higher quality reconstructions can be important for clinical application of EPT in the future.
		Computer Number: 90 3273. A Deep Learning based Harmonic Field Extension in SMWI with Reduced Spatial Coverage View Presentation Video S. Jung, S-M Gho, S. Jeon, D-H Kim Yonsei University, Seoul, Korea, Republic of Impact: This study offers a practical approach to enhance SMWI contrast in limited FOV scans, enabling faster, more effective imaging for Parkinson’s patients. The method holds potential for clinical application with reduced scan time and robust contrast maintenance.
		Computer Number: 91 3274. The Application of Magnetic Susceptibility Separation for Measuring Cerebral Oxygenation in Preterm Neonates View Presentation Video T. Carmichael, A. Rauscher, R. Grunau, A. Weber The University of British Columbia, Vancouver, Canada Impact: Magnetic susceptibility separation, an MRI post-processing technique, shows promise as a non-invasive method of measuring regional cerebral oxygenation in neonates, and may serve as tool for clinicians and researchers alike.
		Computer Number: 92 3275. Phase-based Electrical Conductivity as a Potential Imaging Marker of Treatment Effectiveness in Lumbar Intervertebral Disc Herniation View Presentation Video K. Tha, M. Kitagawa, M. Saito, P. Song, K. Yamada, H. Sudo, U. Katscher Hokkaido University Faculty of Medicine, Sapporo, Japan Impact: This is the first study which evaluated treatment effectiveness of surgery (standard discectomy and UPAL gel implantation) in lumbar IVD degeneration using a recently developed noninvasive quantitative MRI index, i.e., σ of IVD.
		Computer Number: 93 3276. Unraveling the Hidden Link: Electrical Conductivity-Apparent Diffusion Coefficient Correlation Patterns in Thoracic Lesions View Presentation Video J. Wang, U. Katscher, E. Kikuchi, M. Kitagawa, Y. Kikuchi, Y. Yoshino, P. Song, K. K. Tha Laboratory for Biomarker Imaging Science, Hokkaido University Graduate School of Medical Science and Engineering, Sapporo, Japan Impact: This study informs the positive relationship between σ and ADC in thoracic lesions, highlights the factors that influence this relationship, and the importance of integrating σ and ADC in evaluating lesion microarchitecture.
		Computer Number: 94 3277. Physics-Informed Complex-Valued Network for Electrical Properties Tomography in 7T MRI Using Multi-Channel Receive Arrays View Presentation Video M. Zheng, X. Zhang College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China Impact: This approach utilizes $$$\overrightarrow{B_{1}^{-}}$$$ magnitude and relative phase data from regular receive array to reconstruct EPs. It requires no additional hardware or complex software, offering potential for clinical MREPT applications.
		Computer Number: 95 3278. Age-Related Patterns of Deep Grey Matter Magnetic Susceptibility in Tanzanian Children with Sickle Cell Anaemia View Presentation Video M. Lee, M. Jakob, M. Elgwely, F. Kirkham, K. Shmueli University College London, London, United Kingdom Impact: Different patterns of age-related susceptibility accumulation observed in some deep grey-matter regions in children with SCA compared to controls motivate efforts to fully characterize changes to susceptibility and other tissue properties across the lifespan, using QSM and other quantitative techniques.
		Computer Number: 96 3279. Quantitative and Qualitative Impact of Magnetic Microstructure on Conventional and Deep Learning-based Quantitative Susceptibility Mapping View Presentation Video T. Jochmann, F. Salman, M. Dwyer, N. Bergsland, R. Zivadinov, J. Haueisen, F. Schweser Technische Universität Ilmenau, Ilmenau, Germany Impact: This work demonstrates that incorporating microstructure-induced frequency shifts into QSM significantly enhances susceptibility mapping accuracy, particularly in white matter. These findings enable improved study of pathologies with microstructural alterations, providing clinicians and researchers with more reliable maps for disease assessment.

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