Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
461-03-015 ISMRM Abstract

Sampling Density Compensation using Fast Fourier Deconvolution

Primary: Acquisition & Reconstruction - Artifacts and Correction Strategies
Secondary: Acquisition & Reconstruction - Signal Modeling
461-03-015 · Artifact Correction Strategies in Brain and Body · Tuesday, 12 May, 1:40 PM–2:35 PM · Digital Posters Row B
Keywords: Image Reconstruction Non-cartesian Spiral MRI Point Spread Function Non-Cartesian MRI
Accepted
Rui Luo 1, Peng Hu1, Haikun Qi1
1School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China
Presenting Author: Rui Luo

Synopsis

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References

1. Delattre BMA, Heidemann RM, Crowe LA, Vallée JP, Hyacinthe JN. Spiral demystified. Magnetic Resonance Imaging. 2010 Jul;28(6):862–81. doi:10.1016/j.mri.2010.03.036 [doi]
2. Noll DC. Multishot rosette trajectories for spectrally selective MR imaging. IEEE Transactions on Medical Imaging. 1997 Aug;16(4):372–7. doi:10.1109/42.611345 [doi]
3. Gurney PT, Hargreaves BA, Nishimura DG. Design and analysis of a practical 3D cones trajectory. Magnetic Resonance in Medicine. 2006 Mar;55(3):575–82. doi:10.1002/mrm.20796 [doi]
4. Stobbe RW, Beaulieu C. Three-dimensional Yarnball k-space acquisition for accelerated MRI. Magnetic Resonance in Medicine. 2021 Apr;85(4):1840–54. doi:10.1002/mrm.28536 [doi]
5. Pipe JG, Menon P. Sampling density compensation in MRI: Rationale and an iterative numerical solution. Magnetic Resonance in Medicine. 1999 Jan;41(1):179–86. doi:10.1002/(SICI)1522-2594(199901)41:1<179::AID-MRM25>3.0.CO;2-V [doi]
6. Pruessmann KP, Weiger M, Börnert P, Boesiger P. Advances in sensitivity encoding with arbitrary k-space trajectories. Magnetic Resonance in Medicine. 2001 Oct;46(4):638–51. doi:10.1002/mrm.1241 [doi]
7. Zwart NR, Johnson KO, Pipe JG. Efficient sample density estimation by combining gridding and an optimized kernel. Magnetic Resonance in Medicine. 2012 Mar;67(3):701–710. doi:10.1002/mrm.23041 [doi]
8. Johnson KO, Pipe JG. Convolution kernel design and efficient algorithm for sampling density correction. Magnetic Resonance in Medicine. 2009 Feb;61(2):439–47. doi:10.1002/mrm.21840 [doi]
9. Barnett AH. Aliasing error of the exp(β√(1−z²)) kernel in the nonuniform fast Fourier transform. Applied and Computational Harmonic Analysis. 2021 Mar;51(1):1–16. doi:10.1016/j.acha.2020.10.002 [doi]
10. Barnett AH, Magland JF, af Klinteberg L. A parallel non-uniform fast Fourier transform library based on an ”exponential of semicircle” kernel. SIAM Journal on Scientific Computing. 2019;41(5):C479–C504. doi:10.1137/18M120885X [doi]

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http://echo.ismrm.org/p/ISMRM2026/461-03-015