465-01-003 ISMRM Abstract

Accelerating hyperpolarized 13C urea brain perfusion imaging using L+S reconstruction with dual-tree wavelet regularization

Primary: Acquisition & Reconstruction - Subsampling: Parallel imaging, compressed sensing and low-rank modeling

Secondary: Contrast Mechanisms - Perfusion

465-01-003 · Hyperpolarization: Novel Applications · Tuesday, 12 May, 8:20 AM–9:15 AM · Digital Posters Row F

Keywords: Hyperpolarized MR (Non-Gas) Low-rank sparse modelling Acceleration Dynamic MRI Reconstruction Cerebral blood flow perfusion

Accepted

Minjie Zhu ¹, Yaewon Kim¹, Dan Vigneron¹, Jeremy W Gordon¹

¹Department of Radiology and Biomedical Imaging, University Of California, San Francisco (UCSF), United States of America

Presenting Author: Minjie Zhu

Synopsis

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References

1. Zhu, Minjie, et al. "Highly under-sampled 3D Dynamic Hyperpolarized 13 C Spiral Chemical Shift Imaging with Low Rank Plus Local Sparse Reconstruction." Proc Int Soc Zhu, Minjie, et al. "Highly under-sampled 3D Dynamic Hyperpolarized 13 C Spiral Chemical Shift Imaging with Low Rank Plus Local Sparse Reconstruction." Proc Int Soc Mag Reson Med 2024. (Vol. 32, p. 3036). https://doi.org/10.58530/2024/3036 [doi]

2. Kim, Yaewon, et al. "Translation of hyperpolarized [13C, 15N2] urea MRI for novel human Kim, Yaewon, et al. "Translation of hyperpolarized [13C, 15N2] urea MRI for novel human brain perfusion studies." npj Imaging 3.1 (2025): 11. https://doi.org/10.1038/s44303-025-00073-3 [doi]

3. Ting, Chee-Ming, et al. "Dynamic MRI reconstruction using low-rank plus sparse decomposition with smoothness regularization." 2024 IEEE International Conference on Image Processing (ICIP). IEEE, 2024.https://doi.org/10.1109/ICIP51287.2024.10647616 [doi]

4. Liu, Xiaotong, et al. "Low-rank plus sparse joint smoothing model based on tensor singular value decomposition for dynamic MRI reconstruction." Magnetic Resonance Imaging 104 (2023): 52-60.https://doi.org/10.1016/j.mri.2023.09.003 [doi]

5. Kingsbury, Nick. "Complex wavelets for shift invariant analysis and filtering of signals." Applied and computational harmonic analysis 10.3 (2001): 234-253. https://doi.org/10.1006/acha.2000.0343 [doi]

6. Zhu, Zangen, et al. "Compressed Sensing‐Based MRI Reconstruction Using Complex Double‐Density Dual‐Tree DWT." International Journal of Biomedical Imaging 2013.1 (2013): 907501. https://doi.org/10.1155/2013/907501 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/465-01-003