Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
430-03-009 ISMRM Abstract

Back to Basis: Spatially Continuous MRF with Adaptive Gaussians

Primary: Acquisition & Reconstruction - Image Reconstruction: Non-AI
Secondary: Acquisition & Reconstruction - Non-AI methods
430-03-009 · Advanced Image Reconstruction · Tuesday, 12 May, 1:40 PM–3:30 PM · Meeting Room 2.60
Keywords: MR Fingerprinting Non-AI Image reconstruction Non-Cartesian reconstruction Reconstruction Continuous Reconstruction
Accepted
Imraj R Singh 1, Andrew Dupuis1,2, Simran Kukran1, Chaitra Badve2, Mark Griswold1,2,3,4,5
1Department of Radiology, Case Western Reserve University, Cleveland, United States of America
2Department of Radiology, University Hospitals, Cleveland, United States of America
3Department of Biomedical Engineering, Case Western Reserve University, Cleveland, United States of America
4University Hospitals Cleveland Medical Center, Cleveland, Ohio, United States of America
5Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, United States of America
Presenting Author: Imraj R Singh

Synopsis

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References

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2. Kerbl B, Kopanas G, Leimkuehler T, Drettakis G. 3D Gaussian Splatting for Real-Time Radiance Field Rendering. ACM Trans Graph [Internet]. 2023 July 26;42(4):1–14. Available from: http://dx.doi.org/10.1145/3592433 [doi]
3. Fessler JA, Sutton BP. Nonuniform fast fourier transforms using min-max interpolation. IEEE Trans Signal Process [Internet]. 2003 Feb;51(2):560–74. Available from: http://dx.doi.org/10.1109/TSP.2002.807005 [doi]
4. Diolatzis S, Zirr T, Kuznetsov A, Kopanas G, Kaplanyan A. N-Dimensional Gaussians for Fitting of High Dimensional Functions [Internet]. Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers 24. ACM; 2024. p. 1–11. Available from: http://dx.doi.org/10.1145/3641519.3657502 [doi]
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6. Dupuis A, Chen Y, Hansen M, Chow K, Sun JEP, Badve C, et al. Quantifying 3D MR fingerprinting (3D‐MRF) reproducibility across subjects, sessions, and scanners automatically using MNI atlases. Magnetic Resonance in Med [Internet]. 2024 Jan 9;91(5):2074–88. Available from: http://dx.doi.org/10.1002/mrm.29983 [doi]
7. Singh I, Kereta Z, Denker A, Barbano R, Jin B, Thielemans K, Arridge S. MR-blob: Coordinate-Transformed Blobs for Parallel MRI Reconstruction. ISMRM 32nd Annual Meeting. 2024 May 04-09; Abstract Number 1911
8. McGivney DF, Pierre E, Ma D, Jiang Y, Saybasili H, Gulani V, et al. SVD Compression for Magnetic Resonance Fingerprinting in the Time Domain. IEEE Trans Med Imaging [Internet]. 2014 Dec;33(12):2311–22. Available from: http://dx.doi.org/10.1109/TMI.2014.2337321 [doi]
9. Walsh DO, Gmitro AF, Marcellin MW. Adaptive reconstruction of phased array MR imagery. Magn Reson Med [Internet]. 2000 May;43(5):682–90. Available from: http://dx.doi.org/10.1002/(sici)1522-2594(200005)43:5<682::aid-mrm10>3.0.co;2-g [doi]
10. McGiveney D, Boyacioglu R, Jiang Y, Wang C, Ma D, Griswold M. Towards Continuous Dictionary Resolution in MR Fingerprinting using a Quadratic Inner Product Model. ISMRM 27th Annual Meeting. 2019 May 10-13; Abstract Number 4526
11. Dupuis A, Bolding R, Sun J, Chen Y, Boyacioglu R, Griswold M. mrftools: A research framework for integrated design, simulation, acquisition, and reconstruction of Magnetic Resonance Fingerprinting (MRF). ISMRM 32nd Annual Meeting. 2024 May 04-09; Abstract Number 4674
12. Dupuis A, Bolding R, Chen Y, Boyacioglu R, Griswold MA. mrftools: A research framework for integrated design, simulation, acquisition, and reconstruction of Magnetic Resonance Fingerprinting (MRF) [Internet]. Zenodo; 2024. Available from: https://zenodo.org/doi/10.5281/zenodo.11118985

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http://echo.ismrm.org/p/ISMRM2026/430-03-009