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

Power Pitch

New Methods: Acquisition and Reconstruction

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New Methods: Acquisition and Reconstruction
Power Pitch
Acquisition & Reconstruction
Monday, 11 May 2026
Power Pitch Theatre 2
08:20 - 09:56
Moderators: Christoph Kolbitsch & Gustav Strijkers
Session Number: 352-01
No CME/CE Credit
Novel acquisition and reconstruction methods in the brain and body.
Skill Level: Advanced

08:20 Figure 352-01-001.  Real-Time 1st and 0th-order Eddy Current Correction Optimized for Off-Center Imaging
Bertram Wilm, Ryohei Takayanagi, Yuki Sakata, LIJUN ZHANG, Masaaki Umeda
Skope Magnetic Resonance Technologies, Zurich, Switzerland
Impact: The proposed method reduces the effect of higher-order eddy currents for imaging in off-center regions, based on the commonly available ECC subsystem. The method allowed for improved fat suppression and reduced signal drop out in FSE shoulder imaging.
08:22 Figure 352-01-002.  Fast and accurate Bloch simulations using Magnus expansions
Carlos Castillo-Passi, Charles McGrath, Kareem Fareed, Jacob Blum, Daniel Ennis
Stanford University, Stanford, United States of America
Impact: We introduce a new mathematical approach to MRI simulation that substantially improves the accuracy and speed for RF excitation. Our method overcomes numerical limitations of existing approaches and enables reliable integration into optimization workflows through a straightforward, GPU-compatible implementation.
08:24 Figure 352-01-003.  Boosting Sodium Signal in Interleaved 1H-MP2RAGE – 23Na-MERINA: A SAR-Constrained Optimisation Approach
Yasmin Blunck, Daniel Staeb, Bradford Moffat, Rebecca Glarin, Tudor Sava, Kieran O'Brien, Leigh Johnston
University of Melbourne, Melbourne, Australia
Impact: The SAR-constrained optimisation framework enables ‘scan one, get one free’ imaging with optimised image quality, facilitating the adoption of 23Na-MRI into clinical practice without scan time penalty. The proposed framework can be applied to other interleaved multinuclear sequences.
08:26 Figure 352-01-004.  Gap-filled ZTE imaging with MTF smoothing : improving resolution in macromolecular MRI
Jason Daniel van Schoor, Markus Weiger, Emily Louise Baadsvik, Klaas Prüssmann
University and ETH Zürich, Zürich, Switzerland
Impact: Gap-filled ZTE with modulation transfer function (MTF) smoothing improves resolution for ultrashort-T₂ signals (~10-20μs), enabling improved assessment of macromolecular content and structure. This could contribute to the improved quantification of disease-related changes in important tissues containing macromolecules such as collagen.
08:28 Figure 352-01-005.  Highly Effective and Robust Direct Myelin Imaging using Inversion Time Resolved Interleaved Ultrashort Echo Time (TIRI-UTE)
Jinil Park, Sam Sedaghat, Stefan Sommer, Lumeng Cui, Eddie Fu, Youngkyoo Jung, Kader Oguz, Hyungseok Jang
University of California, Berkeley, United States of America
Impact: TIRI-UTE enables robust myelin detection using IR-UTE while reducing scan time by ~3-fold through interleaved encoding and view sharing. A sliding-window scheme provides TI-resolved imaging, improving robustness to T1 variability and achieving more reliable myelin imaging.
08:30 Figure 352-01-006.  Deep learning for subtractionless compressed-sensing whole-body MRA: a prospective analysis of interchangeability with CTA
Qing Fu, Xiang-chuang Kong, Peng Sun, Jing Peng, Jiazheng Wang, Lian Yang, Zi-qiao Lei, Chuan-sheng Zheng
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
Impact: DL-CS-WBMRA protocol is interchangeable with CTA for detecting whole-body vascular abnormalities at MRI with excellent image quality, providing an excellent method alternative to CTA for evaluating whole-body vascular diseases.
08:32 Figure 352-01-007.  6D Bloch Model for Fast, Flexible MR Reconstruction with no Homogeneity Assumptions
Heng Sun, Leya Barrientos, Anja Samardzija, Horace Zhang, Tao Li, Yonghyun Ha, Chenhao Sun, SAJAD HOSSEINNEZHADIAN, Flor Parra Rodriguez, Ryan Gross, Sebastian Theilenberg, Guang Yang, Hemant Tagare, R. Todd Constable, Gigi Galiana
Yale University, New Haven, United States of America
Impact: The assumption of longitudinal homogeneous B0, transverse homogeneous B1, and gradients with negligible transverse components limits novel magnet geometry. 6D-Bloch enables flexible simulation and reconstruction with no assumptions about field nor sequence, while being fast and compact for on-scanner reconstruction.
08:34 Figure 352-01-008.  A validation dataset for 4D in vivo time-resolved imaging
Max H.C. van Riel, David G.J. Heesterbeek, Martijn Froeling, Cornelis van den Berg, Alessandro Sbrizzi
University Medical Center Utrecht, Utrecht, Netherlands
Impact: We present a publicly available in vivo dataset with which 4D time-resolved reconstruction methods can be validated. This dataset is useful for the development of reconstruction methods that can prove valuable for a wide range of motion-related applications.
08:36 Figure 352-01-009.  Real-Time Prospective Motion Correction via Inertial Sensor
Musa Tunc Arslan, Fatih Calakli, Joshua Auger, Hongli Fan, Daniel Nicolas Splitthoff, Alan Macy, Simon Warfield
Boston Children's Hospital and Harvard Medical School, Boston, United States of America
Impact: Prospective motion correction (PMC) can shorten scan times and decrease anesthesia use. We have developed computationally efficient algorithms utilizing a wearable inertial sensor to provide accurate, high-temporal-resolution motion data that enable PMC during brain MR scans.
08:38 Figure 352-01-010.  High performance joint water-fat separation and spiral deblurring via partitioning off-resonance frequency maps
Julia Velikina, Guruprasad Krishnamoorthy, John Christensen, Alexey Samsonov, James Pipe
University of Wisconsin - Madison, Madison, United States of America
Impact: The proposed optimization of joint water/fat separation and spiral deblurring is an important step towards high-quality online reconstruction of spirals, especially in cases with high off-resonance. The development will facilitate the translation of spiral imaging into clinical applications.
08:40 Figure 352-01-011.  Contrast-Aware, Self-Navigated, Online Sub-TR Motion Estimation for 3D non-Cartesian MRI
Fatih Calakli, Simon Warfield
Boston Children's Hospital and Harvard Medical School, Boston, United States of America
Impact: We developed an online contrast-aware motion-estimation algorithm suitable for non-steady-state 3D non-cartesian MRI that achieves motion correction faster than once-per-shot. It operates entirely in k-space, eliminating the need for slow NUFFT and image alignments. Final motion-corrected images are available immediately.
08:42 Figure 352-01-012.  Temporal Manifold–Conditioned Diffusion Model for Dynamic MRI Reconstruction
Mengzhe Du, Congcong Liu, Yuanyuan Liu, Yihang Zhou, Dong Liang, Zhuoxu Cui
University of Chinese Academy of Sciences, Beijing, China
Impact: We pioneered the integration of diffusion's global prior with the structural prior of Deep Image Prior for dynamic MRI reconstruction. This unsupervised framework achieves high-quality results, demonstrating significant promise for future development.
08:44 Figure 352-01-013.  Simultaneous Multi-Echo (SME) Imaging with scrambled phase encoding
Coraline Beitone, Mark Chiew, Sarah McElroy, Raphael Tomi-Tricot, Shaihan Malik, Jo Hajnal, Karla Miller, Neal Bangerter, Peter Lally
Imperial College London, London, United Kingdom
Impact: Multiple image contrasts can be acquired simultaneously in the time taken for a single acquisition, with only a minor SNR penalty. This creates new opportunities for SNR-efficient multi-contrast MRI and relaxometry.
08:46 Figure 352-01-014.  Extracting absolute RF-receive-channel phase offsets from a single bSSFP acquisition using mathematical inference
Yiyun Dong, QING-SAN XIANG, Michael Hoff
University of Washington, Seattle, United States of America
Impact: The proposed method enables rapid, high-SNR absolute RF-receive-channel phase offset mapping from a single bSSFP acquisition by leveraging bSSFP's enigmatic phase information. This can efficiently enable phase-sensitive reconstructions and simplified coil calibration.
08:48 Figure 352-01-015.  Software control of pTx RF coefficients using Pulseq at 7T
Berkin Bilgic, Xingwang Yong, Manoe Meunier, Yuting Chen, Kwok-Shing Chan, Yohan Jun, Borjan Gagoski, Renzo Huber, Jason Stockmann, Bastien Guerin, Maxim Zaitsev
Harvard Medical School, Boston, United States of America
Impact: We demonstrate easy-to-use, open-source software control of pTx RF coefficients with Pulseq and its application to improving image fidelity in structural and diffusion imaging with minor code modifications to implement TIAMO at 7T using a commercial multi-channel transmit array.
08:50 Figure 352-01-016.  Echo-Dependent Phase-Corrected Physics-Driven Deep Learning for Non-Cartesian Multi-Echo fMRI Reconstruction
Mahdi Saberi, Zidan Yu, Christoph Rettenmeier, Victor Stenger, Mehmet Akcakaya
University of Minnesota, Minneapolis, United States of America
Impact: This work proposes a simple yet effective phase correction strategy for multi-echo fMRI reconstruction, mitigating large echo-dependent phase variations. The proposed correction prior to regularization step reduces the artifacts caused by phase variations and improves reconstruction quality.

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