Academic Journal
High-Accelerated Parallel Imaging With the Inherent Local Feature in PE-xSPEN MRI.
| Τίτλος: | High-Accelerated Parallel Imaging With the Inherent Local Feature in PE-xSPEN MRI. |
|---|---|
| Συγγραφείς: | Dai K; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China., Solomon E; Faculty of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, Israel., Lee PK; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China., Tao G; Department of Radiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Qiu Y; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China., Chen H; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China., Frydman L; Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel., Zhang Z; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China. |
| Πηγή: | Magnetic resonance in medicine [Magn Reson Med] 2026 Mar; Vol. 95 (3), pp. 1560-1571. Date of Electronic Publication: 2025 Oct 22. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Wiley Country of Publication: United States NLM ID: 8505245 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-2594 (Electronic) Linking ISSN: 07403194 NLM ISO Abbreviation: Magn Reson Med Subsets: MEDLINE |
| Imprint Name(s): | Publication: 1999- : New York, NY : Wiley Original Publication: San Diego : Academic Press |
| Ιατρικοί όροι (MeSH): | Magnetic Resonance Imaging*/methods , Brain*/diagnostic imaging , Image Processing, Computer-Assisted*/methods, Algorithms ; Phantoms, Imaging ; Humans ; Fourier Analysis |
| Περίληψη: | Purpose: To achieve highly accelerated high-resolution imaging with PE-xSPEN that efficiently utilizes the spatiotemporal encoded signals to physically distinguish contributions from distinct spatial locations prior to k-space acquisition, enabling the differentiation of aliased localized information in k-space. Methods: In the conventional k-space, undersampling along the phase-encoding dimension results in aliasing and overlapping replicas of the object along the INLINEMATH spatial direction. The modulated hyperbolic phase arising from the PE-xSPEN encoding induces coupling between the INLINEMATH and INLINEMATH dimensions. So that for a given k-space location, the signal is predominantly contributed by local voxels. While undersampling along the PE dimension still causes aliased spatial replicas, these replicas remain distinguishable even without multi-channel coils after applying the traditional inverse Fourier transform along the undersampled dimension. Combining with parallel imaging, this approach enhances unfolding efficiency compared to traditional Fourier-encoded signals. Results: Combining with GRAPPA, the undersampled signals along the INLINEMATH dimension can be reconstructed with fewer residual aliasing in PE-xSPEN compared to the traditional Fourier-encoded signals. The performance gain is demonstrated by MRI simulation, phantom tests, and in vivo brain experiments on 3T scanner. Conclusion: The proposed PE-xSPEN GRAPPA framework utilizes hyperbolic phase modulation to control aliasing artifacts and generate INLINEMATH -dependent coil response, reducing artifacts and noise amplification. (© 2025 International Society for Magnetic Resonance in Medicine.) |
| References: | K. P. Pruessmann, M. Weiger, M. B. Scheidegger, and P. Boesiger, “SENSE: Sensitivity Encoding for Fast MRI,” Magnetic Resonance in Medicine 42 (1999): 952–962. M. Uecker, P. Lai, M. J. Murphy, et al., “ESPIRiT—an Eigenvalue Approach to Autocalibrating Parallel MRI: Where SENSE Meets GRAPPA,” Magnetic Resonance in Medicine 71 (2014): 990–1001. M. Lustig and J. M. Pauly, “SPIRiT: Iterative Self‐Consistent Parallel Imaging Reconstruction From Arbitrary k‐Space,” Magnetic Resonance in Medicine 64 (2010): 457–471. M. A. Griswold, P. M. Jakob, R. M. Heidemann, et al., “Generalized Autocalibrating Partially Parallel Acquisitions (GRAPPA),” Magnetic Resonance in Medicine 47 (2002): 1202–1210. C. A. McKenzie, E. N. Yeh, M. A. Ohliger, M. D. Price, and D. K. Sodickson, “Self‐Calibrating Parallel Imaging With Automatic Coil Sensitivity Extraction,” Magnetic Resonance in Medicine 47 (2002): 529–538. K. P. Pruessmann, M. Weiger, P. Börnert, and P. Boesiger, “Advances in Sensitivity Encoding With Arbitrary k‐Space Trajectories,” Magnetic Resonance in Medicine 46 (2001): 638–651. R. M. Heidemann, M. A. Griswold, A. Haase, and P. M. Jakob, “VD‐AUTO‐SMASH Imaging,” Magnetic Resonance in Medicine 45 (2001): 1066–1074. P. M. Jakob, M. A. Grisowld, R. R. Edelman, and D. K. Sodickson, “AUTO‐SMASH: A Self‐Calibrating Technique for SMASH Imaging,” Magma (New York, N.Y.) 7 (1998): 42–54. D. K. Sodickson and W. J. Manning, “Simultaneous Acquisition of Spatial Harmonics (SMASH): Fast Imaging With Radiofrequency Coil Arrays,” Magnetic Resonance in Medicine 38 (1997): 591–603. C. Wu, F. Zhang, B. Wang, and K. R. Liu, “Msense: Towards Mobile Material Sensing With a Single Millimeter‐Wave Radio,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4 (2020): 1–20. M. Bydder, D. J. Larkman, and J. V. Hajnal, “Generalized SMASH Imaging,” Magnetic Resonance in Medicine 47 (2002): 160–170. W. E. Kyriakos, L. P. Panych, D. F. Kacher, et al., “Sensitivity Profiles From an Array of Coils for Encoding and Reconstruction in Parallel (SPACE RIP),” Magnetic Resonance in Medicine 44 (2000): 301–308. J.‐Y. Guo, E. G. Kholmovski, L. Zhang, E.‐K. Jeong, and D. L. Parker, “K‐Space Inherited Parallel Acquisition (KIPA): Application on Dynamic Magnetic Resonance Imaging Thermometry,” Magnetic Resonance Imaging 24 (2006): 903–915. J. Park, Q. Zhang, V. Jellus, O. Simonetti, and D. Li, “Artifact and Noise Suppression in GRAPPA Imaging Using Improved k‐Space Coil Calibration and Variable Density Sampling,” Magnetic Resonance in Medicine 53 (2005): 186–193. S. So, H. Seo, and H. Park, “A Locally Segmented Reconstruction Method for Parallel Imaging,” Magnetic Resonance in Medicine 84 (2020): 1638–1647. L.‐K. Tam, Nonlinear Encoding MRI: Multi‐slice and Oblique O‐Space Imaging, Null Space Imaging, and Pseudo‐random O‐Space Imaging for Accelerated Parallel Imaging (Yale University, 2013), 9–13. D. K. Sodickson, C. A. McKenzie, M. A. Ohliger, E. N. Yeh, and M. D. Price, “Recent Advances in Image Reconstruction, Coil Sensitivity Calibration, and Coil Array Design for SMASH and Generalized Parallel MRI,” Magma (New York, N.Y.) 13 (2001): 158–163. G. C. Wiggins, J. R. Polimeni, A. Potthast, M. Schmitt, V. Alagappan, and L. L. Wald, “96‐Channel Receive‐Only Head Coil for 3 Tesla: Design Optimization and Evaluation,” Magnetic Resonance in Medicine 62 (2009): 754–762. C. A. Cocosco, D. Gallichan, A. J. Dewdney, et al., “First In‐Vivo Results With a PatLoc Gradient Insert Coil for Human Head Imaging,” in Proceedings of the 19th Annual Meeting of ISMRM (Montréal, 2011), 714. F.‐H. Lin, P. Vesanen, T. Witzel, R. Ilmoniemi, and J. Hennig, “Parallel Imaging Technique Using Localized Gradients (PatLoc) Reconstruction Using Compressed Sensing (CS),” in Proceedings of the 18th Annual Meeting of ISMRM (Stockholm, 2010), 546. F.‐H. Lin, T. Witzel, J. Polimeni, et al., “Parallel Imaging Technique Using Localized Gradients (PatLoc) Reconstruction Using Orthogonal Mode Decomposition,” in Proceedings of the 17th Annual Meeting of ISMRM (Honolulu, HI, 2009), 4557. J. Hennig, M. Zaitsev, and O. Speck, “PatLoc: Imaging in Non‐Bijective, Curvilinear Magnetic Field Gradients,” in Proceedings of the 15th Annual Meeting of ISMRM (Berlin, 2007), 453. H. Wang, L. K. Tam, E. Kopanoglu, D. C. Peters, R. T. Constable, and G. Galiana, “O‐Space With High Resolution Readouts Outperforms Radial Imaging,” Magnetic Resonance Imaging 37 (2017): 107–115. L. K. Tam, G. Galiana, J. P. Stockmann, H. Tagare, D. C. Peters, and R. T. Constable, “Pseudo‐Random Center Placement O‐Space Imaging for Improved Incoherence Compressed Sensing Parallel MRI,” Magnetic Resonance in Medicine 73 (2015): 2212–2224. J. P. Stockmann, P. A. Ciris, G. Galiana, L. Tam, and R. T. Constable, “O‐Space Imaging: Highly Efficient Parallel Imaging Using Second‐Order Nonlinear Fields as Encoding Gradients With no Phase Encoding,” Magnetic Resonance in Medicine 64 (2010): 447–456. H. Wang, L. Tam, E. Kopanoglu, D. C. Peters, R. T. Constable, and G. Galiana, “Experimental O‐Space Turbo Spin Echo Imaging,” Magnetic Resonance in Medicine 75 (2016): 1654–1661. G. Galiana, D. Peters, L. K. Tam, and R. T. Constable, “Multiecho Acquisition of O‐Space Data,” Magnetic Resonance in Medicine 72 (2014): 1648–1657. F. A. Breuer, M. Blaimer, R. M. Heidemann, M. F. Mueller, M. A. Griswold, and P. M. Jakob, “Controlled Aliasing in Parallel Imaging Results in Higher Acceleration (CAIPIRINHA) for Multi‐Slice Imaging,” Magnetic Resonance in Medicine 53 (2005): 684–691. F. Huang, Y. Li, S. Vijayakumar, S. Hertel, and G. R. Duensing, “High‐Pass GRAPPA: An Image Support Reduction Technique for Improved Partially Parallel Imaging,” Magnetic Resonance in Medicine 59 (2008): 642–649. S. Zhong, M. Chen, X. Wei, et al., “Understanding Aliasing Effects and Their Removal in SPEN MRI: A k‐Space Perspective,” Magnetic Resonance in Medicine 90 (2023): 166–176. A. Tal and L. Frydman, “Single‐scan multidimensional magnetic resonance,” Progress in Nuclear Magnetic Resonance Spectroscopy 57 (2010): 241–292. A. Tal and L. Frydman, “Spectroscopic Imaging From Spatially‐Encoded Single‐Scan Multidimensional MRI Data,” Journal of Magnetic Resonance 189 (2007): 46–58. Y. Shrot and L. Frydman, “Spatially Encoded NMR and the Acquisition of 2D Magnetic Resonance Images Within a Single Scan,” Journal of Magnetic Resonance 172 (2005): 179–190. G. Liberman, E. Solomon, M. Lustig, and L. Frydman, “Multiple‐Coil k‐Space Interpolation Enhances Resolution in Single‐Shot Spatiotemporal MRI,” Magnetic Resonance in Medicine 79 (2018): 796–805. Z. Zhang, M. Lustig, and L. Frydman, “Phase‐Encoded xSPEN: A Novel High‐Resolution Volumetric Alternative to RARE MRI,” Magnetic Resonance in Medicine 80 (2018): 1492–1506. Z. Zhang, A. Seginer, and L. Frydman, “Single‐Scan MRI With Exceptional Resilience to Field Heterogeneities,” Magnetic Resonance in Medicine 77 (2017): 623–634. Z. Zhang, A. Seginer, and L. Frydman, “xSPEN: Single‐Shot Magnetic Resonance Imaging With Exceptional Resilience to Field Heterogeneities,” in Proceedings of the 24th Annual Meeting of ISMRM (Singapore, 2016), 38. E. Solomon, G. Liberman, Z. Zhang, and L. Frydman, “Diffusion MRI Measurements in Challenging Head and Brain Regions via Cross‐Term Spatiotemporally Encoding,” Scientific Reports 7 (2017): 18010. Y. Chen, C. Cai, J. Zhong, and Z. Chen, “Water–Fat Separation From a Single Spatiotemporally Encoded Echo Based on Nominal k‐Space Peaking and Joint Regularized Estimation,” Magnetic Resonance in Medicine 73 (2015): 1441–1449. M. Uecker, F. Ong, J. I. Tamir, et al., “Berkeley Advanced Reconstruction Toolbox,” in Proceedings of the 23th Annual Meeting of ISMRM (Toronto, ON, 2015), 2486. W. Wu, P. J. Koopmans, R. Frost, and K. L. Miller, “Reducing Slab Boundary Artifacts in Three‐Dimensional Multislab Diffusion MRI Using Nonlinear Inversion for Slab Profile Encoding (NPEN),” Magnetic Resonance in Medicine 76 (2016): 1183–1195. |
| Grant Information: | 62301309 National Natural Science Foundation of China; 62471295 National Natural Science Foundation of China; YG2025LC01 Medical-Engineering Interdisciplinary Research Fund of Shanghai Jiao Tong University; 2024YFC2417703 National Key Research and Development Program of China |
| Contributed Indexing: | Keywords: PE‐xSPEN MRI; aliasing artifacts; parallel imaging; phase modulation; undersampling |
| Entry Date(s): | Date Created: 20251023 Date Completed: 20251229 Latest Revision: 20251229 |
| Update Code: | 20260130 |
| DOI: | 10.1002/mrm.70146 |
| PMID: | 41126547 |
| Βάση Δεδομένων: | MEDLINE |
καταχωρήστε σχόλιο πρώτοι!