Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026
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470-07-124.
Can ZTE Bone MRI Replace CT for Scaphoid Surgical Planning? A CT-Referenced Bland–Altman Study in 31 Healthy Wrists
Impact: Using 31 healthy wrists, ZTE bone MRI reproduced CT scaphoid measurements with tight Bland–Altman limits and high correlations, outperforming 3D T1 GRE for length precision. MRI-only planning may reduce radiation and consolidate bone-and-soft-tissue assessment in routine clinical practice.
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470-07-125.
Comparison of 3D UTE MRI Using PR, Cones, and Rosette Trajectories
Impact: Using in-vivo MR imaging of the knee we
investigate the tradeoffs in terms of scan-time and image quality (artifact and
SNR) between UTE-type sequences using PR, Cones, and Rosette
trajectories.
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470-07-126.
Evaluation of Deep Learning Enhancement for Zero Echo Time MRI of the Shoulder
Impact: Deep learning-based image reconstruction enhances image quality, anatomy visualization, pathological abnormality assessment, overall diagnostic confidence, and the clinical impact of ZTE sequences for shoulder MR Imaging.
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470-07-127.
Sex Differences in Achilles Tendon Microstructure in Older Runners Assessed by Dual-Echo UTE-T2* Bi-Component Analysis
Impact: This study compared region-specific
Achilles tendon differences between older male and female runners, indicated
UTE-T2* imaging as a sensitive method for detecting early degeneration and
guiding personalized rehabilitation in aging athletes.
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470-07-128.
CT like Cervical MRI Using 3D Multi echo GRE with FAST3D Wheel and denoising deep-learning reconstruction
Impact: FAST3D‑accelerated,
denoising deep learning reconstruction 3D multi‑echo GRE enables faster CT‑like cervical MRI
without degrading SNR or sharpness, supporting reliable evaluation of
calcifications in routine time slots and motivating patient studies and reader‑performance
validation.
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470-07-129.
Linking Body Weight and Spinal Biological Aging: A Deep Learning–Derived MRI Aging Biomarker for Spine Health Assessment.
Impact: We introduce a novel MRI-derived biomarker of spinal biological aging that reflects how body mass index (BMI) influences spine health. This approach offers personalized evaluation of spinal aging and the detection of individuals susceptible to accelerated degeneration.
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470-07-130.
MSU Classification of L5/S1 Disc Herniation Correlates with Quantitative MRI of Paraspinal Muscles and Sagittal Balance
Impact: Quantitative MRI and sagittal balance parameters
jointly reflect biomechanical alterations associated with L5/S1 disc herniation
severity. Integrating these imaging markers into clinical decision-making may
guide targeted muscle strengthening and postural correction, improving
therapeutic outcomes and reducing recurrence.
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470-07-131.
Assessment of Postural Influence on Whole-Spine Curvature Using Automatic Image Stitching and a Rotating 1.5T Cryogen-Free MR
Impact: These findings
demonstrate that integrating automated stitching, segmentation, and Cobb angle
analysis provides a radiation-free, reproducible diagnostic approach,
potentially advancing early detection and continuous monitoring of AIS(Adolescent idiopathic
scoliosis).
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© 2026 International Society for Magnetic Resonance in Medicine