ISMRM25 - Registered Abstracts I: New to ISMRM!

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

Registered Abstracts I: New to ISMRM!

Digital Poster

Registered Abstracts

Wednesday, 14 May 2025

Exhibition Hall

08:15 - 09:15

Session Number: D-213

No CME/CE Credit

		Computer Number: 145 3328. Assessing the clinical relevance of amyloid PET prediction from T1w MRI for Alzheimer’s disease View Presentation Video L. Baron, R. Callaghan, D. Cash, P. Weston, H. Azadbakht, H. Zhang University College London, London, United Kingdom Impact: Our findings could clarify the clinically relevant performance of existing amyloid PET synthesis techniques for Alzheimer’s disease.
		Computer Number: 146 3329. Differential Diagnosis of Dementia Subtypes with Fixel-Based Analysis: Insights From Real-World Diffusion MRI View Presentation Video T. Schmidt, T. Rittman University of Cambridge, Cambridge, United Kingdom Impact: A translational study providing convincing evidence of the feasibility and diagnostic usefulness of advanced MRI modalities in clinics could contribute to a shift in clinical practice and a tangible improvement for patients in the form of more accurate early diagnosis.
		Computer Number: 147 3330. 23Na MRI of the patellar tendon: A comparison between healthy volunteers and patients with tendinopathy at 3T. View Presentation Video B. Kamp, R. Möller, P. Gallinnis, A. Nagel, H-J Wittsack, A. Müller-Lutz, L. Wilms Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany Impact: The diagnostic potential of ²³Na MRI for musculoskeletal pathologies is further investigated by measuring ²³Na MRI specific parameters in the patellar tendon, which provide information about changes in the biochemical composition of the tendon.
		Computer Number: 148 3331. Olfactory Tract BOLD fMRI using Echo Planar Time Resolved Imaging View Presentation Video K. Lamar, F. Wang, Z. Dong, C. Murphy, A. Jacobson, R. Barnes, C. Chen, A. Hsiao, T. Liu University of California, San Diego, La Jolla, United States Impact: Olfactory dysfunction is an early indicator of neurodegenerative diseases, such as Alzheimer’s disease and Parkinson’s disease.^1-4 In this work, we utilize an acquisition technique designed to minimize fMRI artifacts to accurately assess olfactory function potentially allowing for earlier diagnosis.
		Computer Number: 149 3332. Evaluation of pediatric global developmental delay using synthetic MR imaging X. Wang, J. Wu, L. Xu, Q. Wu, J. Jiang, Y. Zhang, Y. Yu The First Affiliated Hospital of Anhui Medical University, Hefei, China Impact: Some children may progress to normal functioning with early detection and appropriate supportive treatment.
		Computer Number: 150 3333. Mapping Glutamate and Neural Fragility in Drug Refractory Pediatric Epilepsy using Ultrafast High Resolution MRSI View Presentation Video B. Cai, H. Zhang, Y. Zhao, Y. Li, W. Jin, J. Li, F. Han, L. Liu, G. Wang, X. Ye, J. Luo, Z. Liang School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China Impact: This study will unveil the underlying molecular mechanism behind neural fragility, the SEEG marker of E/I imbalance. Identification of non-invasive brain imaging markers of neural fragility could potentially enhance epilepsy diagnosis and presurgical planning.
		Computer Number: 151 3334. Effect of Genotype on Myocardial Strain in Phenotype-Negative Individuals at Genetic Risk for Arrhythmogenic Cardiomyopathy View Presentation Video E. Carruth, C. Nevius, K. Kallur, C. Haggerty Geisinger, Danville, United States Impact: The results of this study will help inform patients and providers in the management of genomic screening-identified genetic risk for arrhythmogenic cardiomyopathy by identifying potential biomarkers of nascent disease development, which may prompt early intervention to reduce mortality.
		Computer Number: 152 3335. Assessing myelin changes in lesional and non-lesional white matter in patients with MS using the T1w/FLAIR-ratio: a longitudinal study View Presentation Video L. van den Boogaard, G. Drenthen, S. Monachino, S. Knippenberg, S. Zinger, C. Fernandes, M. Breeuwer, S. Jolani, J. Jansen, O. Gerlach Maastricht University Medical Center+, Maastricht, Netherlands Impact: The T1w/FLAIR-ratio can potentially be a valuable metric to evaluate white matter changes in the myelin content. This study will investigate whether this myelin-proxy can provide estimates that can help predict progression of clinical symptoms in RRMS.
		Computer Number: 153 3336. Systematic evaluation of the effects of cerebral blood flow and metabolism on local brain temperature for applications in stroke prognosis View Presentation Video B. Hu, D. Sung, J. Allen, F. Nahab, A. Fedorov, C. Fleischer Georgia Institute of Technology and Emory University, Atlanta, United States Impact: Brain temperature is a promising marker for prognostication of chronic and acute ischemia. We hypothesize local temperature increases will be positively correlated with degree of stenosis and occlusion, accounting for collateral flow and metabolism.
		Computer Number: 154 3337. Verifying retrospective spoke rejection as a way to use prospective motion correction with 3D stack-of-stars GRE View Presentation Video S. Schauman, A. van Niekerk, H. Rydén, O. Norbeck, E. Avventi, T. Sprenger, S. Skare Karolinska Institutet, Stockholm, Sweden Impact: This validation study will show whether retrospective spoke rejection in combination with prospective motion correction and radial sampling can improve image quality consistently under realistic motion conditions.
		Computer Number: 155 3338. Assessing White Matter Disruptions in Epileptic Networks: Concordance of FDG PET Hypometabolism and DTI-Defined Microstructural Alterations View Presentation Video Q. Dai, H. Huang, J. Li, H. Zhang, Y. Cui, S. Yuan, H. Qi, M. Zhang, J. Luo Shanghai Jiao Tong University, Shanghai, China Impact: The results may enhance understanding of the relationship between metabolic dysfunction and structural abnormalities in epilepsy, potentially guiding clinicians toward more tailored treatment strategies. It may also inspire further inquiries into the underlying mechanisms of drug resistance.
		Computer Number: 156 3339. Accurate quantification of chronic lesion expansion in MS: Introducing the GRADE algorithm View Presentation Video M. Alting, S. Klistorner, B. Zin, D. Wang, H. Beadnall, A. Klistorner, M. Barnett, C. Wang University of Sydney, Sydney, Australia Impact: Despite its signification role in MS progression, accurate quantification of chronic lesion expansion has remained elusive. This newly designed GRADE algorithm will be validated for routine clinical quantification of chronic expansion, potentially revolutionizing patient monitoring and development of targeted therapies.
		Computer Number: 157 3340. Non-Invasive Imaging Biomarkers for Exertional Compartment Syndrome View Presentation Video M. George, M. Barbieri, L. Hales, A. Pai, V. Mazzoli, M. Fredericson, G. Gold, F. Kogan Stanford University, Stanford, United States Impact: This project addresses a clinical barrier preventing diagnosis of exertional compartment syndrome. We will demonstrate the potential for MRI as a non-invasive diagnostic tool and explore its underlying mechanisms to allow for informative treatment decisions and reduce barriers to diagnosis
		Computer Number: 158 3341. Imaging Epileptic activity with Spin-Lock fMRI: An exploratory study in first-seizure patients View Presentation Video M. Capiglioni, B. Jin, R. Wiest Institute for Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland Impact: This work validates a non-BOLD fMRI technique targeting biomarkers of epilepsy, which could aid early diagnosis and treatment strategies by detecting subtle biomarkers of epileptogenic zones inaccessible to standard EEG.
		Computer Number: 159 3342. Understanding morphological and positional changes of torso organs due to posture, breathing, and body size variation using Upright 0.5T Open MR View Presentation Video R. Sobhan, O. Mougin, P. Glover, J. Breeze, P. Gowland, R. Fryer University of Nottingham, Nottingham, United Kingdom Impact: Understanding the changes in torso organ morphology and position using upright and supine scans at Open MR could improve the fit, form and anatomical coverage of personal protective equipment and protect security and defence professionals against ballistic and stab threats.
		Computer Number: 160 3343. Deep Learning Reconstruction Enhances Whole-Body Diffusion-Weighted Imaging Quality for Multiple Myeloma Detection: A Preliminary Study View Presentation Video J. Shi, L. Wang, L. Shan, D. Fan, C. Hu GE HealthCare, Shanghai, China Impact: DLR holds the potential to improve WB-DWI routine scanning by accelerating scan times while enhancing image quality, thereby supporting more effective detection and assessment of MM.

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