New and Novel Acquisition and Reconstruction
Digital Poster
Acquisition & Reconstruction
Wednesday, 13 May 2026
New and Novel Acquisition and Reconstruction - brain, and body
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561-06-001.
A novel reconstruction for optimal TQ/SQ 23Na Signal estimation with simultaneous relaxation time determination
Impact: The
novel fixed TQTPPI reconstruction mitigates the drawback of the previous reconstruction
by enabling the determination of T*2s and T*2f together
with TQ/SQ ratio, thus gaining double the information from a single sequence run. This will enable dynamic TQ measurements.
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561-06-002.
An Actively Tunable Metasurface for Image Enhancement at 7T
Impact: This study present a voltage-tunable metasurface enable active B1 augmentation with redesign. By overcoming fixed-frequency constraints, this design enables a platform for adaptive, multi-nuclear, and field-flexible imaging hardware, enhancing versatility and performance in next-generation scanners for clinical and research applications.
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561-06-003.
Free-Breathing Liver DCE-MRI for microwave ablation using MOCCO with adaptive respiratory gating: an in-silico study
Impact: This framework shows promise to enable immediate post-ablation treatment verification during ablation procedures, potentially allowing retreatment of incomplete ablations before patients leave the procedure room.
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561-06-004.
Optimised Cartesian Sampling Patterns for Accelerated 3D Magnetic Resonance Fingerprinting
Impact: Optimised Cartesian undersampling patterns can achieve high acceleration of 3D MRF while maintaining quantitative accuracy. Complementary and blue-noise-based designs enhance temporal incoherence, reduce bias, and enable robust, high-resolution parametric mapping.
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561-06-005.
Scanner integrated slice-specific B0 shimming using maximal signal intensity in GRE EPI with Blackbox Optimization
Impact: We show a novel scanner integrated optimization pipeline to more optimally cover the set of possible shim currents than slice specific shimming based on signal intensity. The automated approach opens up new ways to calculate shim currents in EPI acquisitions.
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561-06-006.
Combination of deep learning auto-navigation and reconstruction for accelerated free-breathing ZTE lung MRI
Impact: The combination of RANGR auto-navigation and
Movienet reconstruction reduces the scan time of zero echo time (ZTE) lung
imaging to 3 minutes and reconstructs CT-like expiration and inspiration images
at high 1.2mm isotropic resolution without radiation.
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561-06-007.
Comparison of cine based CMR measurements obtained using Compressed Sensing with those made using GRAPPA TRUFI
Impact: Compressed sensing imaging can reduce cardiac MRI acquisition time while producing images that yield similar ventricular measurements as bSSFP images. Myocardial strain measurements, however, differed between the two techniques. Careful attention to acquisition type is needed when monitoring strain values.
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561-06-008.
Assessing gravitational effects on facial morphology: comparison of upright and supine 3D imaging with MRI-based facial data
Impact: Our results demonstrate that supine MRI-based reconstructions accurately preserve upright facial geometry, with negligible gravitational distortion. They support the use of MRI-based facial data for phenotypic analysis in clinical and research contexts, especially when optical imaging is unavailable.
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561-06-009.
A variable flip angle optimization scheme for imaging of the peripheral nerves
Impact: The
VFA-TSE optimization approach reduces SAR, minimizes blurring and enhances
peripheral nerve signal even at long echo train lengths, while preserving the
ability to differentiate between healthy and pathological nerve tissue and enabling
direct control over flow sensitivity.
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561-06-010.
On the optimal scan resolution for a fixed scan duration
Impact: Employing our optimal resolution shortens scan duration to 57% of the
conventional 1mm isotropic 3-minute T1W scan without loss of quality. The
process can
be applied to optimize scans for other applications and incorporated in to the
scanner user interface.
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561-06-011.
Readout Undersampling in Motion-Resolved MR-Eye: Quantitative Effects on Image Quality
Impact: This study establishes quantitative limits for readout reduction in motion-resolved eye MRI (MR-Eye), showing that image fidelity is preserved up to 50% undersampling. These findings inform protocol optimization to shorten scans while maintaining reliable ocular and brain structure quality.
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561-06-012.
Highly Accelerated Single- and Dual-Breathhold 3D Cine Imaging with Whole Heart Coverage
Impact:
This study shows the potential of an ultra-fast 3D cine CMR framework with isotropic resolution and whole-heart coverage using only one or two breathholds with inter-breathhold motion compensation, as evaluated against a standard 2D cine method. |
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561-06-013.
Model-Based Deep Learning for Accelerated Spiral CEST MRI using a Spatio-temporal U-Net
Impact: The proposed Model-based-deep-learning framework with a Xt–Yt Unet demonstrates that spatiotemporal priors can enhance undersampled CEST MRI reconstruction, enabling higher acceleration and improved spectral fidelity. This approach opens new opportunities for quantitative CEST imaging under clinically practical acquisition times.
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