Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026
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352-01-001.
Real-Time 1st and 0th-order Eddy Current Correction Optimized for Off-Center Imaging
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.
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| 08:22 |
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352-01-002.
Fast and accurate Bloch simulations using Magnus expansions
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.
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| 08:24 |
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352-01-003.
Boosting Sodium Signal in Interleaved 1H-MP2RAGE – 23Na-MERINA: A SAR-Constrained Optimisation Approach
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.
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| 08:26 |
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352-01-004.
Gap-filled ZTE imaging with MTF smoothing : improving resolution in macromolecular MRI
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.
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| 08:28 |
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352-01-005.
Highly Effective and Robust Direct Myelin Imaging using Inversion Time Resolved Interleaved Ultrashort Echo Time (TIRI-UTE)
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.
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| 08:30 |
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352-01-006.
Deep learning for subtractionless compressed-sensing whole-body MRA: a prospective analysis of interchangeability with CTA
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.
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| 08:32 |
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352-01-007.
6D Bloch Model for Fast, Flexible MR Reconstruction with no Homogeneity Assumptions
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.
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| 08:34 |
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352-01-008.
A validation dataset for 4D in vivo time-resolved imaging
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.
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| 08:36 |
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352-01-009.
Real-Time Prospective Motion Correction via Inertial Sensor
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.
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| 08:38 |
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352-01-010.
High performance joint water-fat separation and spiral deblurring via partitioning off-resonance frequency maps
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.
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| 08:40 |
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352-01-011.
Contrast-Aware, Self-Navigated, Online Sub-TR Motion Estimation for 3D non-Cartesian MRI
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.
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| 08:42 |
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352-01-012.
Temporal Manifold–Conditioned Diffusion Model for Dynamic MRI Reconstruction
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.
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| 08:44 |
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352-01-013.
Simultaneous Multi-Echo (SME) Imaging with scrambled phase encoding
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.
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| 08:46 |
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352-01-014.
Extracting absolute RF-receive-channel phase offsets from a single bSSFP acquisition using mathematical inference
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.
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| 08:48 |
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352-01-015.
Software control of pTx RF coefficients using Pulseq at 7T
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.
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| 08:50 |
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352-01-016.
Echo-Dependent Phase-Corrected Physics-Driven Deep Learning for Non-Cartesian Multi-Echo fMRI Reconstruction
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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© 2026 International Society for Magnetic Resonance in Medicine