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GRACE-MORE: A Motion-Resolved Golden-Angle Radial CEST MRI Technique for Free-Breathing Abdominal Imaging.

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Τίτλος: GRACE-MORE: A Motion-Resolved Golden-Angle Radial CEST MRI Technique for Free-Breathing Abdominal Imaging.
Συγγραφείς: Fan Y; Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, School of Electronic Science and Engineering, National Model Microelectronics College, Xiamen University, Xiamen, Fujian, China., Bie C; Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China., Jiang X; Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, School of Electronic Science and Engineering, National Model Microelectronics College, Xiamen University, Xiamen, Fujian, China., Chen Z; Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, School of Electronic Science and Engineering, National Model Microelectronics College, Xiamen University, Xiamen, Fujian, China., Li M; Department of Cardiovascular Medicine, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China., Zhou Y; Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China., Chen L; Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, School of Electronic Science and Engineering, National Model Microelectronics College, Xiamen University, Xiamen, Fujian, China.
Πηγή: Magnetic resonance in medicine [Magn Reson Med] 2026 Sep; Vol. 96 (3), pp. 1443-1457. Date of Electronic Publication: 2026 May 14.
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 , Abdomen*/diagnostic imaging , Image Processing, Computer-Assisted*/methods, Algorithms ; Humans ; Respiration ; Motion ; Phantoms, Imaging ; Animals ; Movement ; Reproducibility of Results ; Computer Simulation ; Principal Component Analysis
Περίληψη: Purpose: To develop a motion-resolved acquisition and reconstruction framework for motion-robust and spectrally reliable abdominal CEST imaging under free-breathing conditions.
Theory and Methods: A framework termed Golden-angle RAdial CEST MRI with MOtion-REsolved reconstruction (GRACE-MORE) was developed to improve acquisition, respiratory-phase binning, and reconstruction. An interleaved steady-state saturation module with golden-angle radial sampling was adopted to enhance saturation efficiency and ensure uniform k-space coverage. Respiratory-phase binning was performed using a self-gated strategy, in which respiratory amplitude and phase were extracted from central k-space via principal component analysis, followed by hybrid empirical mode decomposition-continuous wavelet transform sorting to correct baseline drift and irregular breathing. Reconstruction was performed using a deep unrolled network constrained by low-rank and sparsity priors, which incorporated a modified U-Net with channel attention and a sliding-window grouping scheme to capture spatio-spectral correlations across saturation offsets.
Results: Validation on simulated, preclinical, and clinical datasets demonstrated more than a threefold improvement in binning accuracy compared with conventional methods. GRACE-MORE reduced reconstruction error, yielded a higher structural similarity index and peak signal-to-noise ratio in simulations, and achieved improved anatomical fidelity, effective motion suppression, and up to a fourfold increase in Z-spectral signal-to-noise ratio in vivo.
Conclusion: GRACE-MORE enables motion-robust and spectrally reliable abdominal CEST imaging under free-breathing conditions.
(© 2026 International Society for Magnetic Resonance in Medicine.)
References: S. Mayer, H. Rolletschek, V. Radchuk, et al., “Metabolic Imaging in Living Plants: A Promising Field for Chemical Exchange Saturation Transfer (CEST) MRI,” Science Advances 10, no. 38 (2024): eadq4424.
C. Bie, Y. Ma, P. C. M. van Zijl, et al., “In Vivo Imaging of Glycogen in Human Muscle,” Nature Communications 15, no. 1 (2024): 10826.
L. Chen, M. Schär, K. W. Y. Chan, et al., “In Vivo Imaging of Phosphocreatine With Artificial Neural Networks,” Nature Communications 11, no. 1 (2020): 1072.
Y. Zhou, P. C. M. van Zijl, X. Xu, et al., “Magnetic Resonance Imaging of Glycogen Using Its Magnetic Coupling With Water,” Proceedings of the National Academy of SciencesUSA 117, no. 6 (2020): 3144–3149.
N. Seo, H. K. Jeong, J. Y. Choi, M. S. Park, M. J. Kim, and Y. E. Chung, “Liver MRI With Amide Proton Transfer Imaging: Feasibility and Accuracy for the Characterization of Focal Liver Lesions,” European Radiology 31, no. 1 (2021): 222–231.
Y. Tang, G. Xiao, Z. Shen, et al., “Noninvasive Detection of Extracellular pH in Human Benign and Malignant Liver Tumors Using CEST MRI,” Frontiers in Oncology 10 (2020): 578985.
E. Vinogradov, J. Keupp, I. E. Dimitrov, S. Seiler, and I. Pedrosa, “CEST‐MRI for Body Oncologic Imaging: Are We There Yet?,” NMR in Biomedicine 36, no. 6 (2023): e4906.
G. L. Simegn, P. Z. Sun, J. Zhou, et al., “Motion and Magnetic Field Inhomogeneity Correction Techniques for Chemical Exchange Saturation Transfer (CEST) MRI: A Contemporary Review,” NMR in Biomedicine 38, no. 1 (2025): e5294.
Z. Chen, C. Liu, Y. Wang, et al., “Free‐Breathing Abdominal Chemical Exchange Saturation Transfer Imaging Using Water Presaturation and Respiratory Gating at 3.0 T,” NMR in Biomedicine 37, no. 8 (2024): e5134.
D. Zhang, J. Sun, P. H. Pretorius, M. King, and G. S. P. Mok, “Clinical Evaluation of Three Respiratory Gating Schemes for Different Respiratory Patterns on Cardiac SPECT,” Medical Physics 47, no. 9 (2020): 4223–4232.
K. Wang, L. Ju, Y. Song, et al., “Whole‐Cerebrum Guanidino and Amide CEST Mapping at 3 T by a 3D Stack‐Of‐Spirals Gradient Echo Acquisition,” Magnetic Resonance in Medicine 92, no. 4 (2024): 1456–1470.
L. Chen, Z. Wei, K. W. Y. Chan, et al., “Protein Aggregation Linked to Alzheimer's Disease Revealed by Saturation Transfer MRI,” NeuroImage 188 (2019): 380–390.
P. Metze, H. Frantz, F. Straubmueller, et al., “Non‐Uniform Self‐Gating in 2D Lung Imaging,” Frontiers in Physics 10 (2022): 836178.
P. F. Ferreira, P. D. Gatehouse, R. H. Mohiaddin, and D. N. Firmin, “Cardiovascular Magnetic Resonance Artefacts,” Journal of Cardiovascular Magnetic Resonance 15, no. 1 (2013): 41.
Z. van Kesteren, A. van der Horst, O. J. Gurney‐Champion, et al., “A Novel Amplitude Binning Strategy to Handle Irregular Breathing During 4DMRI Acquisition: Improved Imaging for Radiotherapy Purposes,” Radiation Oncology 14, no. 1 (2019): 80.
L. Feng, R. Grimm, K. T. Block, et al., “Golden‐Angle Radial Sparse Parallel MRI: Combination of Compressed Sensing, Parallel Imaging, and Golden‐Angle Radial Sampling for Fast and Flexible Dynamic Volumetric MRI,” Magnetic Resonance in Medicine 72, no. 3 (2014): 707–717.
Y. Zhang, H. Y. Heo, D. H. Lee, et al., “Chemical Exchange Saturation Transfer (CEST) Imaging With Fast Variably‐Accelerated Sensitivity Encoding (vSENSE),” Magnetic Resonance in Medicine 77, no. 6 (2017): 2225–2238.
R. Heckel, M. Jacob, A. Chaudhari, O. Perlman, and E. Shimron, “Deep Learning for Accelerated and Robust MRI Reconstruction,” Magnetic Resonance Materials in Physics, Biology and Medicine 37, no. 3 (2024): 335–368.
Z. Yang, D. Shen, K. W. Y. Chan, and J. Huang, “Attention‐Based Multioffset Deep Learning Reconstruction of Chemical Exchange Saturation Transfer (AMO‐CEST) MRI,” IEEE Journal of Biomedical and Health Informatics 28, no. 8 (2024): 4636–4647.
J. Xu, T. Zu, Y. C. Hsu, X. Wang, K. W. Y. Chan, and Y. Zhang, “Accelerating CEST Imaging Using a Model‐Based Deep Neural Network With Synthetic Training Data,” Magnetic Resonance in Medicine 91, no. 2 (2024): 583–599.
K. Hammernik, T. Küstner, B. Yaman, et al., “Physics‐Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining Physics and Machine Learning for Improved Medical Imaging,” IEEE Signal Processing Magazine 40, no. 1 (2023): 98–114.
L. Feng, L. Axel, H. Chandarana, K. T. Block, D. K. Sodickson, and R. Otazo, “XD‐GRASP: Golden‐Angle Radial MRI With Reconstruction of Extra Motion‐State Dimensions Using Compressed Sensing,” Magnetic Resonance in Medicine 75, no. 2 (2016): 775–788.
T. Zhang, J. Y. Cheng, Y. Chen, D. G. Nishimura, J. M. Pauly, and S. S. Vasanawala, “Robust Self‐Navigated Body MRI Using Dense Coil Arrays,” Magnetic Resonance in Medicine 76, no. 1 (2016): 197–205.
M. A. Motin, C. K. Karmakar, and M. Palaniswami, “Selection of Empirical Mode Decomposition Techniques for Extracting Breathing Rate From PPG,” IEEE Signal Processing Letters 26, no. 4 (2019): 592–596.
M. C. Wu and C. K. Hu, “Empirical Mode Decomposition and Synchrogram Approach to Cardiorespiratory Synchronization,” Physical Review E 73, no. 5 (2006): 051917.
A. Silik, M. Noori, W. A. Altabey, R. Ghiasi, and Z. Wu, “Comparative Analysis of Wavelet Transform for Time‐Frequency Analysis and Transient Localization in Structural Health Monitoring,” Structural Durability & Health Monitoring 15, no. 1 (2021): 1–22.
R. Otazo, E. Candès, and D. K. Sodickson, “Low‐Rank Plus Sparse Matrix Decomposition for Accelerated Dynamic MRI With Separation of Background and Dynamic Components,” Magnetic Resonance in Medicine 73, no. 3 (2015): 1125–1136.
X. Chen, J. Wu, Y. Yang, et al., “Boosting Quantification Accuracy of Chemical Exchange Saturation Transfer MRI With a Spatial‐Spectral Redundancy‐Based Denoising Method,” NMR in Biomedicine 37, no. 1 (2024): e5027.
Z. He, Y. N. Zhu, Y. Chen, et al., “A Deep Unrolled Neural Network for Real‐Time MRI‐Guided Brain Intervention,” Nature Communications 14, no. 1 (2023): 8257.
W. C. Lo, Y. Chen, Y. Jiang, et al., “Realistic 4D MRI Abdominal Phantom for the Evaluation and Comparison of Acquisition and Reconstruction Techniques,” Magnetic Resonance in Medicine 81, no. 3 (2019): 1863–1875.
F. Quinton, R. Popoff, B. Presles, et al., “A Tumour and Liver Automatic Segmentation (ATLAS) Dataset on Contrast‐Enhanced Magnetic Resonance Imaging for Hepatocellular Carcinoma,” Data 8, no. 5 (2023): 79.
S. K. Prabhakar and D. O. Won, “HISET: Hybrid Interpretable Strategies With Ensemble Techniques for Respiratory Sound Classification,” Heliyon 9, no. 8 (2023): e18466.
W. Zhou, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, “Image Quality Assessment: From Error Visibility to Structural Similarity,” IEEE Transactions on Image Processing 13, no. 4 (2004): 600–612.
F. Wilcoxon, “Individual Comparisons by Ranking Methods,” Biometrics Bulletin 1, no. 6 (1945): 80–83.
V. A. Magnotta and L. Friedman, “Measurement of Signal‐To‐Noise and Contrast‐To‐Noise in the fBIRN Multicenter Imaging Study,” Journal of Digital Imaging 19, no. 2 (2006): 140–147.
K. P. McGee, A. Manduca, J. P. Felmlee, S. J. Riederer, and R. L. Ehman, “Image Metric‐Based Correction (Autocorrection) of Motion Effects: Analysis of Image Metrics,” Journal of Magnetic Resonance Imaging 11, no. 2 (2000): 174–181.
L. Chen, P. B. Barker, R. G. Weiss, P. C. M. van Zijl, and J. Xu, “Creatine and Phosphocreatine Mapping of Mouse Skeletal Muscle by a Polynomial and Lorentzian Line‐Shape Fitting CEST Method,” Magnetic Resonance in Medicine 81, no. 1 (2019): 69–78.
A. Abdelnour, S. Nehmeh, T. Pan, et al., “Phase and Amplitude Binning for 4D‐CT Imaging,” Physics in Medicine and Biology 52, no. 12 (2007): 3515–3529.
W. Huang, Z. Ke, Z. X. Cui, et al., “Deep Low‐Rank Plus Sparse Network for Dynamic MR Imaging,” Medical Image Analysis 73 (2021): 102190.
B. K. Teo, B. Saboury, R. Munbodh, et al., “The Effect of Breathing Irregularities on Quantitative Accuracy of Respiratory Gated PET/CT,” Medical Physics 39, no. 12 (2012): 7390–7397.
Z. Deng, J. Pang, W. Yang, et al., “Four‐Dimensional MRI Using Three‐Dimensional Radial Sampling With Respiratory Self‐Gating to Characterize Temporal Phase‐Resolved Respiratory Motion in the Abdomen,” Magnetic Resonance in Medicine 75, no. 4 (2016): 1574–1585.
X. Xu, R. Leforestier, D. Xia, K. T. Block, and L. Feng, “MRI of GlycoNOE in the Human Liver Using GraspNOE‐Dixon,” Magnetic Resonance in Medicine 93, no. 2 (2025): 507–518.
L. Feng, “Golden‐Angle Radial MRI: Basics, Advances, and Applications,” Journal of Magnetic Resonance Imaging 56, no. 1 (2022): 45–62.
L. Feng, S. Coppo, D. Piccini, et al., “5D Whole‐Heart Sparse MRI,” Magnetic Resonance in Medicine 79, no. 2 (2018): 826–838.
J. Liu, P. Spincemaille, N. C. Codella, T. D. Nguyen, M. R. Prince, and Y. Wang, “Respiratory and Cardiac Self‐Gated Free‐Breathing Cardiac CINE Imaging With Multiecho 3D Hybrid Radial SSFP Acquisition,” Magnetic Resonance in Medicine 63, no. 5 (2010): 1230–1237.
F. Han, S. Rapacchi, and P. Hu, “Prospective Cardiac Motion Self‐Gating,” Quantitative Imaging in Medicine and Surgery 7, no. 2 (2017): 215–226.
P. L. Bazin, A. Alkemade, W. van der Zwaag, M. Caan, M. Mulder, and B. U. Forstmann, “Denoising High‐Field Multi‐Dimensional MRI With Local Complex PCA,” Frontiers in Neuroscience 13 (2019): 1066.
L. Cnockaert, P.‐F. Migeotte, L. Daubigny, G. K. Prisk, F. Grenez, and R. C. Sa, “A Method for the Analysis of Respiratory Sinus Arrhythmia Using Continuous Wavelet Transforms,” IEEE Transactions on Biomedical Engineering 55, no. 5 (2008): 1640–1642.
S. Jayalakshmy and G. F. Sudha, “Scalogram Based Prediction Model for Respiratory Disorders Using Optimized Convolutional Neural Networks,” Artificial Intelligence in Medicine 103 (2020): 101809.
H. K. Aggarwal, M. P. Mani, and M. Jacob, “MoDL: Model‐Based Deep Learning Architecture for Inverse Problems,” IEEE Transactions on Medical Imaging 38, no. 2 (2019): 394–405.
L. Chen, S. Cao, R. C. Koehler, P. C. M. van Zijl, and J. Xu, “High‐Sensitivity CEST Mapping Using a Spatiotemporal Correlation‐Enhanced Method,” Magnetic Resonance in Medicine 84, no. 6 (2020): 3342–3350.
H. Lee, J. J. Chung, J. Lee, S. G. Kim, J. H. Han, and J. Park, “Model‐Based Chemical Exchange Saturation Transfer MRI for Robust Z‐Spectrum Analysis,” IEEE Transactions on Medical Imaging 39, no. 2 (2020): 283–293.
H. Chen, X. Chen, L. Lin, et al., “Learned Spatiotemporal Correlation Priors for CEST Image Denoising Using Incorporated Global‐Spectral Convolution Neural Network,” Magnetic Resonance in Medicine 90, no. 5 (2023): 2071–2088.
L. Chen, H. Xu, T. Gong, et al., “Accelerating Multipool CEST MRI of Parkinson's Disease Using Deep Learning‐Based Z‐Spectral Compressed Sensing,” Magnetic Resonance in Medicine 92, no. 6 (2024): 2616–2630.
G. Kwiatkowski and S. Kozerke, “Accelerating CEST MRI in the Mouse Brain at 9.4 T by Exploiting Sparsity in the Z‐Spectrum Domain,” NMR in Biomedicine 33, no. 9 (2020): e4360.
M. A. Lindquist, Y. Xu, M. B. Nebel, and B. S. Caffo, “Evaluating Dynamic Bivariate Correlations in Resting‐State fMRI: A Comparison Study and a New Approach,” NeuroImage 101 (2014): 531–546.
W. Li, Z. Zhang, K. Li, et al., “Respiratory Self‐Gating for Free‐Breathing Magnetization Transfer MRI of the Abdomen,” Magnetic Resonance in Medicine 73, no. 6 (2015): 2249–2254.
Z. van Kesteren, J. Veldman, M. Parkes, et al., “Quantifying the Reduction of Respiratory Motion by Mechanical Ventilation With MRI for Radiotherapy,” Radiation Oncology 17, no. 1 (2022): 99.
S. Chung, E. Breton, L. Mannelli, and L. Axel, “Liver Stiffness Assessment by Tagged MRI of Cardiac‐Induced Liver Motion,” Magnetic Resonance in Medicine 65, no. 4 (2011): 949–955.
F. Mostafaei, A. Tai, E. Omari, et al., “Variations of MRI‐Assessed Peristaltic Motions During Radiation Therapy,” PLoS One 13, no. 10 (2018): e0205917.
L. Di Sopra, D. Piccini, S. Coppo, M. Stuber, and J. Yerly, “An Automated Approach to Fully Self‐Gated Free‐Running Cardiac and Respiratory Motion‐Resolved 5D Whole‐Heart MRI,” Magnetic Resonance in Medicine 82, no. 6 (2019): 2118–2132.
I. Montón Quesada, A. C. Ogier, M. Ishida, et al., “Self‐Gated Free‐Running 5D Whole‐Heart MRI Using Blind Source Separation for Automated Cardiac Motion Extraction,” Magnetic Resonance in Medicine 93, no. 3 (2025): 961–974.
J. Coll‐Font, O. Afacan, J. S. Chow, et al., “Bulk Motion‐Compensated DCE‐MRI for Functional Imaging of Kidneys in Newborns,” Journal of Magnetic Resonance Imaging 52, no. 1 (2020): 207–216.
P. Guo, Y. Mei, J. Zhou, S. Jiang, and V. M. Patel, “Reconformer: Accelerated MRI Reconstruction Using Recurrent Transformer,” IEEE Transactions on Medical Imaging 43, no. 1 (2024): 582–593.
O. Cohen, S. Huang, M. T. McMahon, M. S. Rosen, and C. T. Farrar, “Rapid and Quantitative Chemical Exchange Saturation Transfer (CEST) Imaging With Magnetic Resonance Fingerprinting (MRF),” Magnetic Resonance in Medicine 80, no. 6 (2018): 2449–2463.
Z. Zhou, P. Han, B. Zhou, et al., “Chemical Exchange Saturation Transfer Fingerprinting for Exchange Rate Quantification,” Magnetic Resonance in Medicine 80, no. 4 (2018): 1352–1363.
O. Perlman, K. Herz, M. Zaiss, O. Cohen, M. S. Rosen, and C. T. Farrar, “CEST MR‐Fingerprinting: Practical Considerations and Insights for Acquisition Schedule Design and Improved Reconstruction,” Magnetic Resonance in Medicine 83, no. 2 (2020): 462–478.
P. C. M. van Zijl, C. K. Jones, J. Ren, C. R. Malloy, and A. D. Sherry, “MRI Detection of Glycogen In Vivo by Using Chemical Exchange Saturation Transfer Imaging (glycoCEST),” Proceedings of the National Academy of Sciences of the United States of America 104, no. 11 (2007): 4359–4364.
M. Deng, S.‐Z. Chen, J. Yuan, Q. Chan, J. Zhou, and Y. X. J. Wáng, “Chemical Exchange Saturation Transfer (CEST) MR Technique for Liver Imaging at 3.0 Tesla: An Evaluation of Different Offset Number and an After‐Meal and Over‐Night‐Fast Comparison,” Molecular Imaging and Biology 18, no. 2 (2016): 274–282.
C. Bie, S. Bo, N. N. Yadav, et al., “Simultaneous Monitoring of Glycogen, Creatine, and Phosphocreatine in Type II Glycogen Storage Disease Using Saturation Transfer MRI,” Magnetic Resonance in Medicine 93, no. 4 (2025): 1782–1792.
M. Kim, J. Gillen, B. A. Landman, J. Zhou, and P. C. M. van Zijl, “Water Saturation Shift Referencing (WASSR) for Chemical Exchange Saturation Transfer (CEST) Experiments,” Magnetic Resonance in Medicine 61, no. 6 (2009): 1441–1450.
P. Spincemaille, Z. Liu, S. Zhang, et al., “Clinical Integration of Automated Processing for Brain Quantitative Susceptibility Mapping: Multi‐Site Reproducibility and Single‐Site Robustness,” Journal of Neuroimaging 29, no. 6 (2019): 689–698.
F. Wright, M. Warncke, M. Sinn, et al., “Assessment of Aortic Diameter in Marfan Patients: Intraindividual Comparison of 3D‐Dixon and 2D‐SSFP Magnetic Resonance Imaging,” European Radiology 33, no. 3 (2023): 1687–1697.
Grant Information: JCYJ20220818101213029 Shenzhen Science and Technology Program; 20720240026 President Fund of Xiamen University; Xiamen University Nanqiang Outstanding Talents Program; 62501584 National Natural Science Foundation of China; 82302151 National Natural Science Foundation of China; 82572163 National Natural Science Foundation of China
Contributed Indexing: Keywords: chemical exchange saturation transfer; deep learning; free‐breathing; golden‐angle; image reconstruction; motion‐resolved
Entry Date(s): Date Created: 20260515 Date Completed: 20260702 Latest Revision: 20260702
Update Code: 20260703
DOI: 10.1002/mrm.70434
PMID: 42136143
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:1522-2594
DOI:10.1002/mrm.70434