Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026
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605-01-001.
Feasibility of Real-Time AI-Guided Slice-Level Artifact Detection and Selective Reacquisition for Fetal Diffusion MRI
Impact: We introduce real-time AI-driven slice-level artifact detection and hybrid selective reacquisition for fetal diffusion MRI, robust even in pathological cases. This framework enables mixed-preparation volumes, improving data quality and reliability while reducing scan time for advanced diffusion analyses.
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| 08:41 |
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605-01-002.
Fetal cardiac in-plane displacement assessed using external hardware guided motion correction
Impact: This work introduces a physiologically informed motion-resolved and motion-corrected framework for fetal MRI, enabling improved quantification of fetal cardiovascular flow. The approach supports development of more motion-robust fetal MRI protocols and may facilitate investigations of fetal hemodynamics and development.
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| 08:52 |
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605-01-003.
Motion and B0-correction Reconstruction for MP2RAGE Neonatal Imaging at 7T
Impact: We deployed a main magnetic field (δB₀)-informed motion-correction reconstruction for neonatal MP2RAGE imaging at 7T, which further improves motion robustness compared to both conventional SENSE (without motion correction) and motion correction without δB₀ modelling.
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| 09:03 |
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605-01-004.
Motion-Robust Free-Breathing Pediatric MRI Using Deep Learning Auto-Navigation Tailored to the Children Anatomy
Impact: Pediatric
RANGR enables reliable, fully automated respiratory motion estimation and 4D
reconstruction in pediatric MRI, overcoming limitations of conventional PCA
navigation. This improves diagnostic quality and efficiency, which could lead
to clinically viable motion-resolved imaging for challenging free-breathing
pediatric cases.
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| 09:14 |
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605-01-005.
Enabling Motion Correction for Ultra-High Field Submillimeter MP(2)RAGE and Quantitative T1 Mapping with SAMER
Impact: This
study demonstrates that SAMER enables robust retrospective motion correction
for submillimeter 3D structural brain imaging at 7T, preserving both image
quality and quantitative T1 values. This advancement supports
broader adoption of ultra-high-resolution MRI despite subject motion.
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| 09:25 |
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605-01-006.
Prospective motion correction in structural imaging using servo navigation: pushing for high update rates and high resolution
Impact: This work presents a novel application of servo navigation in structural imaging and demonstrates its potential to correct involuntary motion in high-resolution scans as well as rapid motion occurring during the echo train.
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| 09:36 |
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605-01-007.
Towards dynamic arterial diameter measurements in humans with high-resolution motion-robust 1D line-scanning
Impact: We introduce an MRI
framework for dynamic vessel-specific diameter measurements that combine
dark-blood contrast with 1D line-scan acquisition and prospective motion
correction. This approach may open avenues for studying artery-mediated waste
clearance, vascular health, and neurovascular coupling in humans.
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| 09:47 |
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605-01-008.
Respiratory Motion Correction for High-Resolution Supine Breast Imaging using a Golden-Angle 3D Cones Acquisition
Impact: High-resolution free-breathing supine breast MRI is enabled by
using a 3D cones trajectory with golden-angle sampling to track and correct
respiratory motion. This enables
high-resolution supine dynamic contrast-enhanced (DCE) imaging to improve
lesion characterization in a comfortable patient setup.
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| 09:58 |
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605-01-009.
Motion-robust biventricular cardiac function assessment via novel 4D CINE by real-time MRI and slice-to-volume reconstruction
Impact: The RT-SVR approach enables 1mm3 4D cardiac CINE with zero patient corporation, with compatible bi-ventricular volumes, contrast, and sharpness compared to breath-hold CINE. This approach may benefit patients that are non-cooperative, children, and those with irregular breathing and/or arrhythmia.
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| 10:09 |
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605-01-010.
Zero-Shot Unsupervised Motion-Correction for Cardiac Super-Resolution T1 Mapping
Impact: This framework enables high-resolution isotropic 3D cardiac T1 maps from
2D acquisitions, correcting cardiac motion and respiratory
misalignments. The zero-shot, unsupervised approach requires no training data, making
motion-corrected super-resolution reconstruction broadly applicable to
varied datasets and acquisition protocols.
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© 2026 International Society for Magnetic Resonance in Medicine