Signal Modeling and Signal Preparation: Novel Approaches
Digital Poster
Acquisition & Reconstruction
Wednesday, 13 May 2026
New ways to manipulate contrasts, to model signals and to optimize sequences.
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569-01-001.
Improved Visualization of Neuromelanin using Frequency Swept Magnetization Transfer Prepared TFL Sequence at 7T MRI
Impact: This study demonstrates that asymmetric magnetization transfer effect with negative frequency offsets enhances neuromelanin contrast in the locus coeruleus and substantia nigra at 7T, providing a new strategy for improving the sensitivity of NM-MRI in neurodegenerative disease imaging.
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569-01-002.
Impact of Temperature Stability on Signal Quality in 200 µm Ex-vivo Human Brain MRI
Impact: Temperature stabilization during long ex-vivo brain scans
markedly improves SNR. This method enables high-resolution data acquisition
with shorter scan times, providing a practical solution to overcome key
limitations of ex-vivo MRI for research and potential clinical translation.
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569-01-003.
Beyond Directions: Optimal Rotation Sets for Accurate Signal Powder Averaging in dMRI
Impact: The proposed method (available open source) enables accurate estimation of powder averages for non-axisymmetric diffusion weighting, and accounts for suboptimal sampling. The resulting enhancement of powder averages enables categorical improvement of parameter estimation across dMRI methods at no additional cost.
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569-01-004.
Sparse b-value IVIM Imaging Using Subspace Modeling and Shape-Preserving Interpolation
Impact: Five
b-values suffice for accurate IVIM via monotonic-constrained interpolation, reducing acquisition and reconstruction time by threefold. This acceleration framework
generalizes to myelin water imaging, diffusion kurtosis, and relaxometry,
enabling practical quantitative multi-parametric protocols in routine clinical
settings.
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569-01-005.
Two-Dimensional accelerated Spatial Encoding using only RF field gradients with SGS-FREE
Impact: 2D SGS FREE proved able to acquire RF encoded images for a relatively large field of view in a practical scan time, demonstrating the potential use of RF pTx shim-encoding technology for future clinical applications.
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569-01-006.
A High-Performance Python EPG Implementation for 3D MRF using GPU Acceleration with Triton
Impact: Our highly accelerated GPU-accelerated EPG implementation demonstrates
that one order-of-magnitude acceleration over SnapMRF, an existing non-Python
solution, is feasible and accessible from Python.
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569-01-007.
Accurate Simulation of Slice Profile in Multi-Echo Spin Echo Sequences: The Role of Crusher Gradients
Impact: This work demonstrates the importance of implementing crusher gradient in Bloch simulations, enabling accurate slice profile modeling when multiple pulses are exerted, and revealing complexity of T2 quantification. The proposed method benefits sequence design and development of quantitative MRI applications.
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569-01-008.
Modeling Tissue Signals from a Single Voxel Simulation
Impact: Using this approach, researchers can model MRI acquisitions of large phantoms with minimal memory use. Its voxel-based concept enables faster simulations and the reduction of spatial aliasing. It provides more realistic simulations and improves educational tools for researchers and clinicians.
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569-01-009.
Why is T2*?
Impact:
$T_2^*$ is the time constant used to describe the decay of the gradient-echo signal. However, the designation of a time constant implies monoexponential decay. Although this is widely observed, the conventional explanation for it is flawed, as we show. |
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569-01-010.
Online Universal Pulse Optimization at 7T: Enhancing Cross-Subject Performance Without Recalibration or Recalculation
Impact: We present a simple, online universal-pulse correction method that enhances their precision and accuracy. This approach improves image quality across subjects, regardless of head size/shape, and strengthens the applicability of ultra-high-field imaging in neuroscience research and potentially in clinical diagnostics.
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569-01-011.
The importance of RF-pulse-timing for B0- and B1-insensitivity in different T2-prep sequence designs
Impact: This work demonstrates that optimizing excitation and
flip-back pulse-timing in T2-prepared coronary MRA can achieve $B_0$-$B_1^+$-robustness
comparable to SAR-intensive composite schemes, enabling more efficient, more
flexible, lower-SAR sequence designs for improved clinical feasibility and
coronary imaging reliability.
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