ISMRM25 - Data Acquisition

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

ISMRM & ISMRT 2025 Annual Meeting & Exhibition

Digital Poster

Data Acquisition

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Data Acquisition

Digital Poster

Acquisition & Reconstruction

Wednesday, 14 May 2025

Exhibition Hall

08:15 - 09:15

Session Number: D-17

No CME/CE Credit

		Computer Number: 1 3184. Trirals for Imaging 10% Faster View Presentation Video M. McCready, D. Abraham, Z. Shah, K. Setsompop, J. Pauly, A. Kerr Stanford University, Stanford, United States Impact: Decreasing the readout time using trirals is important for time sensitive artifacts, such as field imperfections, and sequence TR/TE dependent signal changes.
		Computer Number: 2 3185. Evaluation of Wave-CAIPI for accelerating MP2RAGE and FLAWS in deep-brain nucleus localization View Presentation Video C. Liu, S. Wang, Y. Wu, D. N. Splitthoff, W-C Lo, P. Hang, J. Sun Department of Radiology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China Impact: The Wave-CAIPI 2x2 and 2x3 protocols markedly enhanced MRI efficiency, improving patient comfort and accessibility while maintaining high-resolution imaging essential for accurate deep-brain structure visualization in clinical practice.
		Computer Number: 3 3186. Design of a differential single-band presaturated ultrashort echo time (dSB-UTE) sequence for accelerated short-T2 imaging View Presentation Video J. Reich, K. Harkins, R. Crescenzi, E. MacMillan, R. Feldman University of British Columbia, Kelowna, Canada Impact: The dSB-UTE sequence is expected to reduce scan times for short-T2 imaging by a factor of 1.55-4.72 while achieving the same echo times as current UTE sequences. The dSB-UTE shows improved image quality over other simultaneous multi-slice UTE techniques.
		Computer Number: 4 3187. Clinical Translation of Deep Learning-based Ascending Aortic Morphology Characterization Using 3D Non-Contrast-enhanced MRA View Presentation Video L. Fay, D. Amsel, V. Ecker, M. Lescan, T. Hülnhagen, D. Giese, B. Yang, S. Gatidis, T. Kuestner Medical Image and Data Analysis (MIDAS.lab), Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen, Germany Impact: Integration of deep learning image analysis for thoracic aorta inline on the MR scanner accelerates aortic morphology assessment across multiple sequences. Visualizing the results directly on the scanner supports rapid clinical decisions and advances cardiovascular imaging workflows.
		Computer Number: 5 3188. Pilot Tone-based Diaphragm Motion Estimation for Navigator-Triggered Magnetic Resonance Cholangiopancreatography View Presentation Video X. Li, B. Kühn, W. Majeed Siemens Medical Solutions USA, Inc., Saint Louis, United States Impact: This study demonstrates that the pilot tone-based diaphragm motion estimation framework enables estimation of motion information associated with navigator-triggered MRCP acquisitions. These results have potential to improve image quality and workflow of MRCP scans.
		Computer Number: 6 3189. Improved Workflow for Hyperpolarized 129Xe MRI through Automated Adjustments View Presentation Video J. Mugler III, L. Cui, K. Chow, A. Costelle, S. Leewiwatwong, J. Mata, Y. Shim, P. Niedbalski, B. Driehuys, R. Eddy University of Virginia School of Medicine, Charlottesville, United States Impact: The proposed automated adjustment-processing framework results in a workflow for xenon lung MRI that mirrors that for routine clinical proton MRI, increasing the accessibility of hyperpolarized ¹²⁹Xe lung MRI and facilitating its translation into clinical use.
		Computer Number: 7 3190. Improving Hippocampus Volumetry Using a Deep Learning-based Proton Density-Weighted TSE sequence at 3T View Presentation Video S. Buch, V. Truong, Y. Xuan, R. Gattu, Y. Chen Wayne State University, Detroit, United States Impact: This study demonstrates that the deep learning based 2D high-resolution proton density weighted TSE sequence has a potential to reduce inaccuracies in hippocampus volumetry, which will ensure reliable diagnosis and monitoring of neurological and psychiatric conditions.
		Computer Number: 8 3191. Test-retest reliability of magnetic resonance imaging data across the Siemens VE11C to XA30 software upgrade View Presentation Video K. Jones, S. Noble, J. Gilbert, M. Yen, R. Welsh University of California, Los Angeles, Los Angeles, United States Impact: We found no meaningful difference between MRI datasets collected using the Siemens VE11C and XA30 software packages. This evidence of consistency in longitudinal MRI data across software lends validity to imaging studies that are affected by unforeseen software upgrades.
		Computer Number: 9 3192. Inter-Scanner Variability and Evaluation of T2-FLAIR Harmonization in Alzheimer’s Neuroimaging View Presentation Video B. Ho, D. Kim, A. Kumar, S. Weiss, H. Vossler, A. Dreisbach, D. Holley, M. Khalighi, E. Mormino, G. Zaharchuk Stanford University, Stanford, United States Impact: T2-FLAIR is an instrumental imaging sequence to visualize gray-white matter contrast and white matter abnormalities. However, inter-scanner variability may hinder analysis involving multi-site imaging datasets. Thus, we evaluated protocol changes that can improve harmonization of T2-FLAIR images across scanners.
		Computer Number: 10 3193. Python-based Pulseq Client to the Remote Sequence Streaming Interface View Presentation Video M. Shafiekhani, T. Kluge, B. Wilhelm-Feldbusch, P. Hucker, C. Forman, R. Schneider, M. Zaitsev University Medical Center Freiburg, Freiburg, Germany Impact: Interpreter modules are instrumental for executing open pulse sequences on a particular scanner. The presented work paves a way towards reducing the effort associated with their development and maintenance by potentially reducing adaptations and tests for every scanner software version.
		Computer Number: 11 3194. Clinical Feasibility and Tolerance of Oxygen-Enhanced MRI for Assessing Tumor Hypoxia in Nasopharyngeal Carcinoma F. Chen, J. Li, S. x. Xiang, W. Chen Department of Radiology, Southwest Hospital, Army Medical University , Chong Qing, China Impact: Dynamic T1-mapping with OE-MRI to indicate hypoxia of NPC and the derived parameter ΔR1 may be a repeatable hypoxia biomarker. OE-MRI is promising to guide clinical work of biology guided adaptive radiotherapy.
		Computer Number: 12 3195. Towards ihMT Imaging at 7T Using 3D Centric Gradient Echo Readout for ihMT Contrast Optimization: Preliminary Results View Presentation Video P. Will, W. Bogner, E. Niess, F. Niess, M. Zaiss, N. Weiskopf, T. Emmenegger Department of Biomedical Imaging and Image-Guided Therapy, Highfield MR Center, Medical University of Vienna, Vienna, Austria, Vienna, Austria Impact: Acquiring 7T ihMT with a 3D centric spiral gradient echo readout potentially enhances specificity and contrast between WM and GM. This approach has the potential to improve the myelin contrast, enabling more precise clinical assessments in spinal neurological pathologies.
		Computer Number: 13 3196. Sub 2 mm resolution fMRI at 3T using randomly undersampled 3D-EPI with locally low-rank + temporally sparse reconstruction View Presentation Video R. Fung, R. Lobos, J. Fessler, D. Noll, J-F Nielsen University of Michigan, Ann Arbor, United States Impact: Randomized 3D-EPI and locally low-rank plus temporally sparse decomposition are novel approaches for high resolution fMRI. Other fMRI scientists can use our vendor-agnostic, open-source implementation as a template, adapting it to suit their specific high resolution fMRI needs.
		Computer Number: 14 3197. Rotating Magnet Arrays as Spatial Encodings for Portable MRI Applications View Presentation Video Y. Shi, N. Ayar, K-J Jung, K. Haran University of Illinois Urbana-Champaign, Champaign, United States Impact: The preliminary prototype embraces inhomogeneity in the base magnetic field, eliciting a new direction for MRI instrumentation. Its ability to produce pilot scans allows for early diagnosis while reducing costs and providing patient comfort, ultimately making MRI technology more accessible.
		Computer Number: 15 3198. Magnetic Resonance Histopathology (MRH): a direct, noninvasive, and low-cost diagnostic for quantitative microarchitecture imaging. View Presentation Video T. James, A. Benjamin, S. Ma, R. Garipov, G. Crelier, Q. Lu, F. Han, D. Turley, K. James, N. Sta Maria, K. Williams, I. Parker, R. Jacobs BioProtonics,Inc., Santa Barbara, United States Impact: MRH provides a currently inaccessible quantitative measure of sentinel tissue microscopic characteristics enabling more informed diagnosis, reducing the need for excisional observation.
		Computer Number: 16 3199. 3D-EPI SWI at 0.5T View Presentation Video Y. Gao, Y. Lian, Y. Jiang, J. Liu, Z. Huang, Y. Ye, H. Guo Center for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China Impact: 0.5T with 3D-EP-SWI offers greater access than higher field strength MRI, and may meet clinical needs for diagnosis of cerebral diseases like cerebral microbleeds.

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