ISMRM25 - Traditional Image Reconstruction

ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

Traditional Image Reconstruction

Digital Poster

Acquisition & Reconstruction

Thursday, 15 May 2025

Exhibition Hall

13:15 - 14:15

Session Number: D-16

No CME/CE Credit

		Computer Number: 17 4443. Geometrically-derived Density Compensation Function for Non-Cartesian k-space Sampling Trajectories in MRI View Presentation Video O. Aboyewa, D. Kim, K. Hong Northwestern University, Evanston, United States Impact: MRI acquisition using non-Cartesian sampling trajectories has potential benefits for rapid imaging and mitigating motion artifacts. The new gDCF enhances the image reconstruction of any 2D non-Cartesian MRI acquisitions, thus increasing their utility in patient scan.
		Computer Number: 18 4444. Bringing GRAPPA to non-Cartesian MRI through SPARKLING: An application to MP-RAGE anatomical MRI View Presentation Video C. G R, A. Vignaud, M. Bertrait, A. Massire, M. Bottlaender, P. Ciuciu CEA Paris Saclay, Gif-sur-Yvette, France Impact: This novel technique will help bring conventional multi-coil acceleration to non-Cartesian imaging, which can be used independently to massively accelerate MR scans, enabling faster and higher resolution imaging, which will be beneficial for varied clinical applications.
		Computer Number: 19 4445. SPEN with Non-linear Gradient Implementation using Pulseq View Presentation Video A. Holl, M. Zaitsev, F. Zijlstra, S. Littin Division of Medical Physics, Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, Freiburg, Germany Impact: Non-linear gradient-based spatiotemporal-encoding overcomes SAR-limitations resulting from the use of chirp-RF pulses for quadratic phase profile generation, while providing comparable results, making clinical application feasible.
		Computer Number: 20 4446. Improved extraction of temporal basis from fully sampled fMRI data using a combined ICA and SVD approach View Presentation Video C. Marchini, B. Sutton University of Illinois Urbana-Champaign, Urbana, United States Impact: Basis functions from SVD and ICA can be combined to capture nongaussian signals at very low ranks when SVD alone does not. Potential applications include reducing scan time for low TR partial separability MRI reconstructions.
		Computer Number: 21 4447. 3D RARE Radial xSPEN and Inverse Radon Transform based reconstruction for Single-Sided MRI View Presentation Video R. Jin, M. Gomes, M. Sadinski, A. Nacev, W. Grissom Promaxo, Oakland, United States Impact: This method is applicable for 3D imaging in an inhomogeneous magnetic field at higher resolution compared to traditional Fourier encoding by cropping the FOV without aliasing.
		Computer Number: 22 4448. Optimized variance-stabilizing and exact unbiased inverse transforms for the non-central Chi distribution: application in MRI image denoising View Presentation Video V. Campos, M. Vieira, A. Foi University of São Paulo, São Carlos, Brazil Impact: Magnitude image is the most common data format in MRI clinical settings. Our method allows denoising of magnitude MRI in a way that one can properly use any off-the-shelf Gaussian denoiser without the need to modify its core algorithm.
		Computer Number: 23 4449. A template-based customization approach for compensating missing brain MRI sequences in people with multiple sclerosis View Presentation Video O. Oladosu, X. Wang, Y. Zhang University of Calgary, Calgary, Canada Impact: Robust synthetization of unavailable brain MRI sequences is essential in various secondary analytic tasks including machine learning for advanced disease characterization and monitoring, which can benefit people with different diseases beyond multiple sclerosis.
		Computer Number: 24 4450. Super-resolution across RF-encoding and q-space dimensions via physics-driven neural fields for accelerated gSlider diffusion MRI View Presentation Video A. Topcu, C. Liao, T. Çukur, K. Setsompop, E. Saritas Bilkent University, Ankara, Turkey Impact: sq-QUCCI enables collection of whole-brain high-spatial/angular-resolution, high-SNR diffusion MRI data in a 15-min scan by super-resolving across RF-encoding and q-space dimensions of undersampled gSlider acquisitions, overcoming the efficiency barrier for adoption in clinical settings.
		Computer Number: 25 4451. A Comparison between Low Rank Reduced FOV and Region Optimized Virtual Coils Reconstructions View Presentation Video F. Ali, J. Kim, Z. Zhang, M. Bydder, J. P. Finn, X. Li The Cleveland Clinic Foundation, Cleveland, United States Impact: LR-rFOV provides better outside signal suppression and better preserves ROI signal than ROVir. This approach enables one to save time at the scanner by only prescribing the FOV over the desired ROI.
		Computer Number: 26 4452. Myelin water imaging from an 8 minute scan at 64mT via image reconstruction and multicomponent T2 fitting in a low-rank space View Presentation Video N. Wiley, S. Balaji, M. Poorman, R. Teixeira, F. Padormo, H. Liu, A. Dvorak, A. Traboulsee, S. Williams, S. Deoni, A. Mackay, S. Kolind University of British Columbia, Vancouver, Canada Impact: Reconstruction and multi-component fitting in a low-rank space allows myelin water fraction mapping at 64mT, permitting quantitative ultra low-field measurements of brain development in infants and children and demyelination during the course of diseases like multiple sclerosis.
		Computer Number: 27 4453. Low Rank Reconstruction Enabled Partial Fourier 2D Dynamic Variable Resolution Hyperpolarized 13C Imaging View Presentation Video T. Nickles, H-Y Chen, Y. Kim, X. Lui, P. Larson, D. Vigneron, J. Gordon University of California San Francisco , San Francisco, United States Impact: Asymmetrical PF encoding of 2D dynamic HP [1-¹³C]pyruvate MRI benefits from low-rank recovery reconstruction methods to ensure image fidelity, and to increase SNR by reducing T₂* weighting.
		Computer Number: 28 4454. Fast multi-contrast MRI using joint multiscale energy model View Presentation Video N. Yaghoobi, J. Rikhab Chand, Y. Chen, S. Kecskemeti, J. Holmes, M. Jacob University of Virginia, Charlottesville, United States Impact: The algorithm offers a 4x reduction in scan time and is over 10 times faster than current gridding-based non-linear fitting methods. J-MuSE is a good fit for general multicontrast applications by exploiting the correlations between contrasts, while enabling fast recovery.
		Computer Number: 29 4455. Model-Based Reconstruction for Joint Estimation of Multiple Quantitative Maps in the Liver Using Single-Shot IR Multi-Echo Radial FLASH View Presentation Video V. Telezki, D. Mackner, N. Scholand, Z. Tan, M. Blumenthal, P. Schaten, X. Wang, M. Uecker University Medical Center Göttingen, Göttingen, Germany Impact: By combining a highly sensitive sequence with model-based reconstructions, this work reduces acquisition times for quantitative water-specific $$$T_1$$$, $$$R_2^∗$$$, $$$B_0$$$ field and fat-fraction maps to 4s and makes quantitative multi-parametric MRI more accessible and convenient for diagnostic purposes.
		Computer Number: 30 4456. Robust nonlinear parameter estimation with physics-enforced spectral-spatial priors for multi-pool CEST analysis View Presentation Video C. Nguyen, R-E Yoo, S. H. Choi, J. Park Sungkyunkwan University, Suwon, Korea, Republic of Impact: The proposed method yields robust multi-pool CEST spectral analysis even with highly incomplete measurements, enabling whole brain CEST MRI (1.8mm$$$^3$$$) in less than 4 minutes.
		Computer Number: 31 4457. A Morphology-Enabled Predictor Corrector Algorithm for Gradient Echo MRI Phase Unwrapping View Presentation Video D. Kurian, G. Hagberg, K. Scheffler, S. Maurya, J. Paul Digital University Kerala, Trivandrum, India Impact: The MEST-PCU method enhances phase unwrapping by integrating morphological information, providing a more accurate and robust solution, particularly at high magnetic field strengths. This method improves QSM estimation even from later echoes, enabling effective susceptibility source separation.
		Computer Number: 32 4458. Volume reconstruction and view synthesis from 2D projection MRI using 3D Gaussian Splatting View Presentation Video E. Yagiz, B. Tasdelen, N. Lee, K. Nayak University of Southern California, Los Angeles, United States Impact: We demonstrate a new approach for MRI volume synthesis based on multiple projections (e.g. spiral projection imaging), using noise-less neuroimaging simulations. This has the potential to enable shorter scans and/or better imaging in low signal-to-noise settings.

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