Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026

Digital Poster

Acquisitions for fMRI

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Acquisitions for fMRI
Digital Poster
Brain Function & fMRI
Wednesday, 13 May 2026
Digital Posters Row H
08:20 - 09:15
Session Number: 567-01
No CME/CE Credit
Similar Sessions
Pulse sequences, BOLD, shimming and QA. All you need for advanced fMRI acquisitions
  Figure 567-01-001.  Reliable detection of stimulus-induced diffusion changes in dfMRI: Simulation and 7T validation
Ikuhiro Kida
Center for Information and Neural Networks, National Institute of Information and Communications Technology, Osaka, Japan
Impact: This study demonstrates that low b-values can reliably detect stimulus-induced diffusion changes with minimal IVIM interference, but emphasizes the necessity of dual b-value analysis for interpretation in dfMRI applications. Findings support practical dfMRI protocols and highlight limitations requiring future validation.
  Figure 567-01-002.  Accelerated Functional MRI with Helical-Cone Zero-TE Encoding: Comparison across Human Tasks
Shuai Liu, uzay emir, Yen-Yu Ian Shih, Serhat Ilbey, Nan Yin, Michael Bock, Ali Özen
University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
Impact: ZTE showed high spatial and temporal correspondence to conventional fMRI for various tasks, making it complementary to BOLD fMRI. Incorporating helical cones trajectories further accelerated the ZTE acquisition yielding temporal resolutions as high as 0.6 s/frame.
  Figure 567-01-003.  Compressed Sensing Functional MRI: Image Quality and Spatiotemporal Trade-offs
Mauro Leidi, João Jorge, Eleonora Fornari, Juliane Schneider, Daniele Marinazzo, Benedetta Franceschiello
HES-SO University of Applied Sciences and Arts Western Switzerland, Sion, Switzerland
Impact: This exploratory study investigates ultra-fast 3D radial fMRI with flexible readouts binning, evaluating spatiotemporal trade-offs achievable through compressed sensing. By quantifying performance limits, the work clarifies how acceleration affects image quality, guiding realistic expectations for future fMRI development.
  Figure 567-01-004.  Signal Structure in Echo Planar Time-Resolved Imaging (EPTI): Implications for Multi-echo fMRI Analysis
Kathryn Lamar-Bruno, Fuyixue Wang, Zijing Dong, Daniel Handwerker, Conan Chen, Ryan Barnes, Thomas Liu
University of California, San Diego, United States of America
Impact: We show that EPTI’s subspace reconstruction leads to different signal characteristics along the echo dimension that challenge the assumptions of conventional statistical tests used in multi-echo denoising like Tedana. This motivates the development of new approaches to address this issue.
  Figure 567-01-005.  Motion characterization of inter-/intra-volume motion synthesized SMS EPI datasets using the ex-vivo brain.
Wanyong Shin, Mark Lowe
Cleveland Clinic, Cleveland, United States of America
Impact: We generated ex-vivo brain EPI datasets with inter-/intra-volume motion artifacts across varying SMS acceleration factors, evaluated intra-volume motion correction method using them, and publicly released the synthesized intra-volume motion–corrupted data with its correction pipeline for broader research use.
  Figure 567-01-006.  Characterizing improvements in temporal SNR and motion artifacts in FLASH-based fMRI using 1D phase-stabilization navigators
Nadira Yusif Rodriguez, Omer Oran, Mukund Balasubramanian, Saskia Bollmann, Martijn Cloos, Jonathan Polimeni
Stanford University, Stanford, United States of America
Impact: We evaluate FLASH-based fMRI and the impact of phase-stabilization based on one-dimensional navigators on time-series SNR. In BOLD-weighted acquisitions that are physiological-noise dominated, phase-stabilization increases time-series SNR substantially, however in other protocols no benefit was observed.
  Figure 567-01-007.  Prospective slice-by-slice head motion correction in dynamic multislice EPI using wireless NMR probes.
Saikat Sengupta, Baxter Rogers
Vanderbilt University Medical Center, Nashville, United States of America
Impact: Head motion is a major cofound in dynamic EPI studies. This abstract presents a simple and powerful technique using wireless NMR markers to correct 6 degrees of freedom head motions in real time and improve dynamic image quality.
  Figure 567-01-008.  SMS-EPI prospective motion correction (pMoCo) with dynamic re-acquisition of slice calibration data
Hongli Fan, Prabhjot Kaur, Xiaoqing Wang, Joanne Rispoli, Stephen Cauley, Simon Warfield
Siemens Medical Solutions USA, Inc., Malvern, United States of America
Impact: We developed a real-time prospective motion-correction system for SMS-EPI that compensates for large head movements by updating the field of view and recalibrating the slice-unaliasing, substantially reducing motion artifacts and enhancing fMRI reliability in pediatric neuroimaging studies.
  Figure 567-01-009.  Longitudinal Quality Assurance of a High-Performance Head-Only 7T MRI Scanner: Preliminary Stability Results
Yi-Hang Tung, Astrid Wollrab, Cindy Lübeck, Oliver Speck
Otto von Guericke University Magdeburg, Magdeburg, Germany
Impact: Researchers using fMRI will become aware of the stability issues associated with high-gradient performance scanners and benefit from enhanced scanner stability, which effectively increases sensitivity, with accessible QA protocols promoting this improvement.
  Figure 567-01-010.  Spatial resolution and SNR Optimization in Simultaneous Brain-Spinal Cord fMRI
Eugene Ozhinsky, Zanib Naeem, Angela Mueller, Salvatore Torrisi, An Vu
University of California San Francisco, San Francisco, United States of America
Impact: This study evaluated approaches to improve spatial resolution and SNR for simultaneous brain and spinal cord fMRI. These finding will help optimize the sensitivity and spatial accuracy of future studies of activation and connectivity in the brain and spinal cord.
  Figure 567-01-011.  Physics-Integrated Neural Network for fMRI Signal Recovery: Overcoming B0 Inhomogeneity Induced Signal Loss
DongWook Kim, Kyu-Jin Jung, Chuanjiang Cui, SooHyoung Lee, Daniel Kim, SeungYeon Seo, Dong-Hyun Kim
Yonsei University, Seoul, Korea, Republic of
Impact: The proposed physics-integrated neural network mitigates B0 inhomogeneity artifacts, expanding detectable brain regions for whole-brain fMRI. By integrating physical modeling with neural network learning, it overcomes the limitations of pure physics-based correction constrained by intravoxel dephasing complexity.
  Figure 567-01-012.  Optimized automatic and interactive B0 shimming procedure for fMRI with 7T Terra.X
Minye Zhan, Mélanie Didier, Marc Lapert, Benoît Béranger
Paris Brain Institute - ICM, Paris, France
Impact: This work examined 3 automatic plus interactive B0 shimming procedures for 7T Terra.X, and propose a relatively simple B0 shimming procedure that can boost fMRI data quality, with better image quality and much reduced EPI distortions.
  Figure 567-01-013.  B0-Field Mapping during the Dummy Scan for fMRI Distortion Correction
Qingfei Luo, Joseph Hutter, Xiaohong Joe Zhou
University of Illinois Chicago, Chicago, United States of America
Impact: Integrating B0-field mapping into the dummy scan offers an efficient and reliable approach for estimating B0-field maps used in fMRI distortion correction.
  Figure 567-01-014.  BOLD fMRI using a 3D radial Phyllotaxis GRE sequence: Characterizing the hemodynamic response function of the human retina
Yannick Bovier, Yiwei Jia, Micah Murray, Jean-Baptiste LEDOUX, Eleonora Fornari, Lukas Anschütz, Benedetta Franceschiello
HES-SO Valais-Wallis, Sion, Switzerland
Impact: This study aims at measuring the human retinal hemodynamic response function via the Hi-Fi framework (High-resolution,fast-sampling 3D radial-spiral BOLD fMRI). It enables investigations of retinal vascular behavior, providing potential biomarkers for ophthalmo-neurological disorders and bridging retinal and cortical fMRI research.
  Figure 567-01-015.  Automatic Tuning of RF Coils for Concurrent TMS-fMRI
Yunsuo Duan, Emma Su, Feng Liu, Matthew Riddle, Jack Grinband, John Vaughan Jr., Lawrence Kegeles, Rachel Marsh, Gaurav Patel
Columbia University, New York, United States of America
Impact: Our results demonstrate that automatic tuning for concurrent TMS-fMRI is feasible. This enables investigators to perform concurrent TMS-fMRI studies without compromising TMS efficiency and/or image quality, which were previously degraded by resonance frequency shifts in RF coils.
  Figure 567-01-016.  Enhanced detection and sensitivity for networks using high performance head gradients and multi-echo rsfMRI
Jiayu Shao, Nastaren Abad, Radhika Madhavan, Chitresh Bhushan, Luca Marinelli, Robert Shih, J. Kevin DeMarco, Gail Kohls, Maureen Hood, Thomas Foo, Vincent Ho, Herman Morris
Uniformed Services University of the Health Sciences, Bethesda, United States of America
Impact: This study explores the utility of High-Performance Head-Only gradients to increase fMRI sensitivity using multi-echo fMRI. HPHG slew rates shorten echo spacing and reduce artifacts to increase the effectiveness of me-fMRI. Significantly higher tSNR reported from me-fMRI using HPHG.

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