ISMRM25 - Registered Abstracts II: New to ISMRM!

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

Registered Abstracts II: New to ISMRM!

Digital Poster

Registered Abstracts

Wednesday, 14 May 2025

Exhibition Hall

09:15 - 10:15

Session Number: D-214

No CME/CE Credit

		Computer Number: 145 3486. Optimizing rTMS Target Localization: Reliability and Stability Comparison Between Multi-Echo and Single-Echo fMRI View Presentation Video Z. Hong, Q. Ge, Y-F Zang, Y. Ding, X. Yang, Y. Zhang Centre for Cognition and Brain disorders / Department of Neurology, The Affiliated Hospital of Hangzhou Normal University, hangzhou, China Impact: This study aims to evaluate the potential of multi-echo fMRI as a more reliable method for guiding personalized rTMS. By offering more accurate and reproducible brain activity mapping, it may improve treatment outcomes of rTMS in the future.
		Computer Number: 3487. WITHDRAWN
		Computer Number: 146 3488. Definition of a Nigrosome-1 template for characterizing iron accumulation in Parkinson's Disease View Presentation Video A. Catrambone, M. C. Bonacci, M. E. Caligiuri University "Magna Graecia" of Catanzaro, Catanzaro, Italy Impact: Assessing Nigrosome1 characteristics in Parkinson's disease, especially where the structure is not visible, will enhance the understanding of the disease and help identifying biomarkers of disease progression and differential diagnosis.
		Computer Number: 147 3489. Evaluation of Three 3.0T MRI DWI Sequences for T Staging in Gastric Cancer L. Yanli, L. Zhenhui, X. Yongzhou, Z. Yi Yunnan Cancer centre, kunming, China Impact: This research enhances gastric cancer staging accuracy with advanced DWI sequences, potentially improving diagnostic precision and patient treatment outcomes.
		Computer Number: 148 3490. Reproducibility of single-voxel PRESS-MRS for 2HG quantification in a custom-made phantom using vendor and non-clinical software. View Presentation Video A. Walls, B. Crouch, S. Withey, A. Dwyer South Australian Health and Medical Institute, Adelaide, Australia Impact: This study will be of interest to those wanting to translate 2HG MRS to the clinic.
		Computer Number: 149 3491. CBV-informed MR Fingerprinting for Improved Classification of Intratumoral Heterogeneity in Post-Treatment Glioblastomas View Presentation Video S. Deng, K. Bera, N. Korakavi, W. Zhao, S. Gongala, P. Arjmand, E. Alzaga, T. Hodges, P. Vempati, M. Staudt, H. Newton, D. Jordan, M. Griswold, D. Ma, C. Badve University Hospitals Cleveland Medical Center, Cleveland, United States Impact: The MRF/CBV-informed local tumor recurrance signatures can improve characterization of intratumoral heterogeneity beyond CBV in recurrent glioblastomas. This pipeline will lead to more precise tumor sampling and better treatment response evaluation.
		Computer Number: 150 3492. Demographic conditioned DDPM: pseudo-normal PET generation for improved epileptic lesion detection View Presentation Video Z. Zhang, J. Li, Y. Cui, B. Cai, H. Zhang, X. Ye, M. Zhang, J. Luo Shanghai Jiao Tong University, Shanghai, China Impact: Paired MRI and FDG PET brain images of normal subjects are scarce. We integrate controls’ and patients’ demographic information into MRI2PET image translation using improved DDPM-based model, which will provide personalized pseudo-normal PET reference to aid lesion detection.
		Computer Number: 151 3493. Magnetic Resonance Metabolomics on blood as a predictor of metastatic disease in melanoma View Presentation Video N. Christensen, M. Aastrup, E. Hansen, D. Radford-Smith, P. Corrie, M. Middleton, A. Marshall, C. Laustsen, F. Probert, D. Anthony, J. Larkin, J. Miller Aarhus Universitet, Aarhus, Denmark Impact: Patients with resected AJCC stage IIB/C and III cutaneous melanoma are at high risk of recurrent disease with poor prognosis. An inexpensive blood biopsy able to predict those with distant metastatic disease would guide clinical decision making and save lives.
		Computer Number: 152 3494. Unpaired Multimodal Brain MRI Harmonization with Image Style-Guided Diffusion Model View Presentation Video M. Wu, Y. Sun, P-T Yap, H. Zhu, M. Liu University of North Carolina at Chapel Hill, Chapel Hill, United States Impact: By eliminating non-biological imaging variations from various acquisition sites, our framework allows researchers to utilize multi-site data more effectively, facilitating more robust and generalizable analysis. This will enable large-scale multisite longitudinal studies and increase usable data to improve statistical power.
		Computer Number: 153 3495. Comparative Evaluation of Deep Learning and Compressed Sensing Methods for Dynamic Contrast-Enhanced MRI Reconstruction View Presentation Video E. Gösche, Z. Tan, K. Flaßkamp, S. G. Kim, F. Knoll Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany Impact: DCE-MRI is the most accurate tool for diagnosing breast cancer, but its potential is limited by acquisition techniques that cannot achieve high spatial and temporal resolution simultaneously. This work explores whether DL or conventional compressed sensing can overcome these limitations.
		Computer Number: 154 3496. Comprehensive Evaluation of Deep Learning Reconstruction for Free-Breathing Radial Cine Cardiac Magnetic Resonance Imaging View Presentation Video M. Yurt, K. Ryu, Z. Li, X. Zhu, X. Mao, J. Pauly, A. Syed, S. Vasanawala Stanford University, Stanford, United States Impact: Free-breathing, radial cardiac cine acquisition and reconstruction approaches can mitigate motion artifacts and improve patient comfort and compliance. We perform a comprehensive evaluation of such a protocol to validate its effectiveness and validity on diverse populations including volunteers and patients.
		Computer Number: 155 3497. Utility of thalamic nuclei segmentation in targeted delivery of gene therapy using intrathalamic injections in Tay-Sachs disease patients View Presentation Video M. S. Shazeeb, M. Saranathan, A. Kuhn, R. Daci, B. Artinian, O. Cataltepe, T. Flotte University of Massachusetts Chan Medical School, Worcester, United States Impact: This study will advance precision targeting of intrathalamic injections in Tay-Sachs gene therapy that can provide insights into AAV vector distribution within the thalamus, refine delivery techniques, improve clinical outcomes, and inspire new questions about targeted therapy in neurodegenerative disorders.
		Computer Number: 156 3498. Utilizing synthetic MRI and brain functional analysis for early Alzheimer’s disease diagnosis View Presentation Video K. Dong, J. Shi, Y. Xiao, L. Yu, Y. Shang, H. Dai The First Affiliated Hospital of Soochow University, Soochow, China Impact: This study could improve early Alzheimer’s diagnosis by combining SyMRI, myelin mapping, BOLD, and NODDI to identify early biomarkers of the disease.
		Computer Number: 157 3499. Validation of acquisition parameters for human cartilage proteoglycan using highly accelerated T1rho for clinical use. View Presentation Video A. Walls, S. Staude, K. Poonsawat, D. Muratovic, S. Withey, G. Bonanno, A. Dwyer, D. Thewlis South Australian Health and Medical Institute, Adelaide, Australia Impact: Assessment of optimal combination of spin lock times using direct validation to quantitative measures from histology will provide valuable recommendations for clinical cohorts.
		Computer Number: 158 3500. Comparing Cerebral Blood Volume From Non-Invasive Hyperoxic BOLD-fMRI to Contrast-Agent-Based Dynamic Susceptibility Contrast MRI View Presentation Video E. Saks, S. Kaczmarz, N. Blockley, C. Zimmer, C. Preibisch, G. Hoffmann Institute for Neuroradiology, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Munich, Germany Impact: We plan to evaluate the applicability of hyperoxic BOLD-fMRI as a method for CBV quantification. If successful, this technique could present a non-invasive alternative to contrast-agent-based DSC MRI. A direct comparison of both techniques has not been done before.
		Computer Number: 159 3501. Higher Field Vessel Wall Imaging for Intracranial Arteries with Atherosclerotic Stenosis at 5.0 T: Image Quality Evaluation Compared with 3.0 T L. Yin, j. wang, Z. Li, z. sun, Z. Li Shandong Provincial Third Hospital, Jinan, China Impact: The study could enhance the diagnostic accuracy of intracranial atherosclerosis assessment, potentially leading to improved patient management and treatment outcomes through superior imaging techniques at 5.0 T MRI.

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