|  | Computer Number: 145 3328. Assessing the clinical relevance of amyloid PET prediction from T1w MRI for Alzheimer’s diseaseL. 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 MRIT. 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.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 ImagingK. 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 imagingX. 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.
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|  | Computer Number: 150 3333. Mapping Glutamate and Neural Fragility in Drug Refractory Pediatric Epilepsy using Ultrafast High Resolution MRSIB. 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 CardiomyopathyE. 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 studyL. 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 prognosisB. 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 GRES. 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 AlterationsQ. 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.
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|  | Computer Number: 156 3339. Accurate quantification of chronic lesion expansion in MS: Introducing the GRADE algorithmM. 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 SyndromeM. 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 patientsM. 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 MRR. 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 StudyJ. 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. |