ISMRM25 - Electro-Magnetic Tissue Properties II

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

Electro-Magnetic Tissue Properties II

Digital Poster

Contrast Mechanisms

Wednesday, 14 May 2025

Exhibition Hall

09:15 - 10:15

Session Number: D-83

No CME/CE Credit

		Computer Number: 81 3422. Mitigation of Artefacts caused by the Transceive Phase Assumption in Electrical Properties Tomography View Presentation Video U. Katscher, T. Meerbothe, S. Mandija, C. van den Berg, C. Findeklee Philips Innovative Technologies, Hamburg, Germany Impact: The presented simple approach is able to increase the accuracy of electric conductivity reconstructed with “Electrical Properties Tomography” (EPT), and thus, might help to enable EPT as clinically relevant diagnostic tool.
		Computer Number: 82 3423. Navigating Fat-Iron Interactions in QSM: Why Post-Processing Approach Selection Matters View Presentation Video S. Graf, J. Trapp, M. Rothe, A. Gussew, W. Wohlgemuth, A. Deistung University Hospital Halle (Saale), Halle (Saale), Germany Impact: The present study continues the investigations into the use of quantitative susceptibility mapping in abdominal regions, focusing on effects of adipose tissue and iron on MR phase and susceptibility, while emphasizing the importance of choosing appropriate data processing techniques.
		Computer Number: 83 3424. Blood as a Biological Model for MREPT: A Realistic Approach to Mimic Tissue Electrical Properties View Presentation Video P. Loureiro de Sousa, J. Lamy, M. Antal ICube, Université de Strasbourg-CNRS, Strasbourg, France Impact: Blood-based models for MR-based electrical properties mapping enhance the realism of phantoms, facilitating the evaluation of conductivity in heterogeneous biological tissues. This study validates blood as a versatile model system, enabling non-invasive analysis of microscopic structures in vivo.
		Computer Number: 84 3425. First MR Electrical Properties Tomography reconstruction challenge: phase 3 - conductivity reconstructions from measured data View Presentation Video S. Mandija, A. Arduino, C. van den Berg, P. Fuchs, I. Giannakopoulos, Y. Z. Ider, K-J Jung, U. Katscher, D-H Kim, R. Lattanzi, T. Meerbothe, K. K. Tha, L. Zilberti University Medical Center Utrecht, Utrecht, Netherlands Impact: The results of phase 3 of the first MR-EPT reconstruction challenge show large variations in the estimated conductivity maps from measured data on phantoms and volunteer demonstrating the need of benchmarking reconstruction methods on common datasets.
		Computer Number: 85 3426. Implications of Undersampling Strategy for GRAPPA-accelerated QSM and R2* Map Acquisition View Presentation Video A. Jaffray, C. Kames, A. Rauscher, C. Birkl University of British Columbia, Vancouver, Canada Impact: Strict utilization of acceleration strategies that do not rely on Partial Fourier acquisition can improve QSM accuracy, and remove ambiguity in protocol design.
		Computer Number: 86 3427. Integrating a negative relaxometric constant in the χ-separation model improves the correlation between χ negative and myelin metrics View Presentation Video E. Grosso, A. Ricciardi, E. Lupi, M. Yiannakas, F. Prados, B. Kanber, E. D'Angelo, C. Gandini Wheeler-Kingshott, F. Palesi University of Pavia, Pavia, Italy Impact: The integration of a physiologically plausible negative relaxometric constant in the χ-separation model will impact on how we assess the presence of positive and negative magnetic susceptibility sources in the brain, i.e. iron and myelin.
		Computer Number: 87 3428. Assessing Metabolic Dysfunction at Cerebral Microbleed Sites using Quantitative Oxygen Extraction Fraction MRI View Presentation Video D. Zlatopolsky, I. Hagger, D. Hsu, N. Kurt, J. Cho, S. Soman Medical College of Georgia Augusta University/ University of Georgia Medical Partnership, Augusta, United States Impact: CMB site decreased metabolic activity that worsens with increasing susceptibility suggests neurological functional damage occurrence, therapeutic targets focusing on restoring metabolic function, research directions into how CMBs disrupt local metabolism, and that QSM may serve as a biomarker for neurodegeneration.
		Computer Number: 88 3429. Patterns of iron load and myelination in deep gray matter nuclei in leukodystrophies revealed by DECOMPOSE-QSM View Presentation Video M. Lancione, M. Cencini, B. Buchignani, R. Pasquariello, D. Montanaro, C. Liu, R. Battini, L. Biagi, M. Tosetti IRCCS Stella Maris Foundation, Pisa, Italy Impact: QSM and DECOMPOSE-QSM provide information on neurodegeneration in deep gray matter nuclei in leukodystrophies potentially identifying disease-specific patterns and aiding the diagnostic process. Importantly, these techniques rely on standard clinical sequences and have short scan time, facilitating their clinical deployment.
		Computer Number: 89 3430. xvQSM: An Open-Source Artifact Mitigation Method for ex vivo Quantitative Susceptibility Mapping View Presentation Video A. Roberts, A. Dimov, M. Sisman, A. Deng, C. Skudin, H. Zhuang, I. Kovanlikaya, P. Spincemaille, T. Nguyen, K. Gillen, Y. Wang Cornell University, New York, United States Impact: The presented method mitigates ex vivo artifacts to increase confidence in validation. High structural similarity is observed from whole region of interest filtering and homogeneity regularization. This open-source pipeline improves source separation and potentially myelin mapping, and oxygen extraction fraction.
		Computer Number: 90 3431. Resolution translation for GRE using super-resolution network View Presentation Video J. Park, J. Yoon, M. Kim, B. Moon, J. Lee Seoul National University, Seoul, Korea, Republic of Impact: The proposed resolution translation successfully generated high-quality complex GRE images for the isotropic resolution, resulting in high-quality QSM, outperforming the conventional approaches.
		Computer Number: 91 3432. Improved Microstructure-Informed Myelin Mapping (iMIMM) for Myelin Mapping solely from Gradient-Echo Data View Presentation Video M. Sisman, A. Dimov, P. Spincemaille, T. Nguyen, Y. Wang Cornell University, New York, United States Impact: By accurate modeling of the effect of white matter anisotropic susceptibility on the full gradient-echo signal, myelin content can be mapped from routine gradient echo acquisitions.
		Computer Number: 92 3433. Ultrashort Echo Time Quantitative Conductivity Mapping (UTE-QCM) in The Knee: A Feasibility Study View Presentation Video J. Park, S. Sedaghat, E. Fu, Y. Jung, H. Jang University of California, Davis, Sacramento, United States Impact: UTE-QCM has the potential to provide a new quantitative imaging tool targeting short T₂ tissues in the MSK system, facilitating the diagnosis and prognosis of joint disorders such as osteoarthritis and tumors such as osteosarcoma.
		Computer Number: 93 3434. Comparing Repeatability Metrics for Quantitative Susceptibility Mapping in the Head and Neck View Presentation Video M. Cherukara, K. Shmueli University College London, London, United Kingdom Impact: This study shows that the repeatability of QSM in the head and neck depends strongly on the dipole inversion method used. Metrics like repeatability coefficient and intraclass correlation coefficient offer the most utility for comparisons between methods.
		Computer Number: 94 3435. Performance and Sensitivity of QSM Deep Learning algorithm to Background Field residuals using a Realistic Numerical Head Phantom View Presentation Video C. Milovic, M. Lambert, C. Tejos Pontificia Universidad Catolica de Chile, Santiago, Chile Impact: This study highlights the limitations of current Deep Learning-based QSM algorithms in handling residual background fields, suggesting a need for improved training strategies. It provides insights into which methods offer more reliable susceptibility maps, guiding future QSM development and applications.
		Computer Number: 95 3436. Does Phase-Based EPT with a Noise-Robust Method Provide Similar Results for GRE and bSSFP Acquisitions? View Presentation Video O. Arsenov, J. Luo, K. Shmueli University College London, London, United Kingdom Impact: Using the noise-robust MagSeg method for phase-based EPT in GRE and bSSFP acquisitions provided similar high-quality conductivity maps. This performance for the ‘gold-standard’ bSSFP acquisition provides validation of this method and a basis for a wide range of applications.
		Computer Number: 96 3437. Precision with Simplicity: Refining Susceptibility maps with minimal iterative effort View Presentation Video M. Lambert, C. Milovic Pontificia Universidad Católica de Chile, Santiago, Chile Impact: This study’s refinement method for QSM could empower clinicians with higher-quality susceptibility maps, improving diagnostic accuracy in neurological assessments. It encourages further exploration of minimal-iteration techniques, promoting efficient approaches to enhance imaging fidelity without intensive computational resources.

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