Share:
Share this content in WeChat
X
Technical Article
Performance evaluation of metamaterials for rat T1/T2 weighted imaging in 5.0 T MRI: A validation study of image quality and imaging efficiency
GUO Sihui  LÜ Han  ZHANG Dong  ZHANG Yufan  LI Xinxin  CHI Zhonghai  WANG Zhenchang 

Cite this article as GUO S H, LÜ H, ZHANG D, et al. Performance evaluation of metamaterials for rat T1/T2 weighted imaging in 5.0 T MRI: A validation study of image quality and imaging efficiency[J]. Chin J Magn Reson Imaging, 2026, 17(6): 133-139. DOI:10.12015/issn.1674-8034.2026.06.017.


[Abstract] Objective To compare the image quality and scanning efficiency with the currently widely used rat clinical magnetic resonance imaging protocol, and systematically evaluate the feasibility of using metamaterials for 5.0 T MRI of the rat brain.Materials and Methods The imaging accuracy of the metamaterial was first validated by performing T1 mapping and T2 mapping on a uniform inorganic solution phantom, comparing the measured T1 and T2 values. Ten-week-old healthy male Sprague-Dawley rats (n = 5) were included. Each rat was scanned under two imaging conditions: one using a rat coil, and the other using a 48-channel head coil combined with the metamaterial. The signal-to-noise ratio (SNR) of MR images was evaluated and compared between the two conditions while maintaining identical scan times and spatial resolution. To further investigate the potential of the metamaterial for improving imaging efficiency, metamaterial's scanning parameters were adjusted to achieve the equivalent image SNR with the rat coil parameters, and the differences in scan time were then compared.Results The T1 mapping and T2 mapping results of the phantom indicated that the metamaterial didn't compromise imaging accuracy. Under conditions of same scan time and spatial resolution, the metamaterial group showed significantly higher SNR compared to the rat coil group in T1-weighted imaging (T1WI) (t = 21.57, P < 0.001), T2-weighted imaging (T2WI) (t = 24.175, P < 0.001), T1WI-FLAIR (P = 0.043), and T2WI-FLAIR sequences (t = 8.728, P = 0.001). When adjusted to achieve equivalent image SNR, the scan times for the T2WI, T1WI-FLAIR, and T2WI-FLAIR sequences using the metamaterial were also significantly shorter than those with the rat coil.Conclusions Compared to existing clinical MRI protocols for animals, the metamaterial significantly enhances the SNR and improves scanning efficiency, thereby advancing the imaging capabilities of animal models within clinical MR systems.
[Keywords] metamaterials;clinical ultra-high field magnetic resonance;rats;imaging performance;T1-weighted imaging;T2-weighted imaging

GUO Sihui1   LÜ Han1   ZHANG Dong2   ZHANG Yufan1   LI Xinxin3   CHI Zhonghai3*   WANG Zhenchang1*  

1 Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China

2 Precision and Intelligence Medical Imaging Lab, Beijing Clinical Research Institute, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China

3 TsingMeta Medical Technology Co., Ltd., Beijing 100024, China

Corresponding author: CHI Z H, E-mail: chizh@tsingmeta.com WANG Z C, E-mail: cjr.wzhch@vip.163.com

Conflicts of interest   None.

Received  2026-02-12
Accepted  2026-05-13
DOI: 10.12015/issn.1674-8034.2026.06.017
Cite this article as GUO S H, LÜ H, ZHANG D, et al. Performance evaluation of metamaterials for rat T1/T2 weighted imaging in 5.0 T MRI: A validation study of image quality and imaging efficiency[J]. Chin J Magn Reson Imaging, 2026, 17(6): 133-139. DOI:10.12015/issn.1674-8034.2026.06.017.

[1]
CHI X T, YANG W, ZHANG J B, et al. A cross-sectional and longitudinal integrated study on brain functional changes in a neuropathic pain rat model[J/OL]. eNeuro, 2024, 11(3): ENEURO.0272-ENEURO.0223.2024[2026-02-11]. https://pubmed.ncbi.nlm.nih.gov/38346901/. DOI: 10.1523/ENEURO.0272-23.2024.
[2]
ZENG B F, FU X, YANG L M, et al. Cognitive impairment of cerebral small vessel disease in rat model longitudinal study of the changes of brain structure[J]. J Clin Radiol, 2021, 40(6): 1216-1221. DOI: 10.13437/j.cnki.jcr.2021.06.038.
[3]
BASKAYA F, LEMAINQUE T, KLINKHAMMER B, et al. Pathophysiologic mapping of chronic liver diseases with longitudinal multiparametric MRI in animal models[J]. Invest Radiol, 2024, 59(10): 699-710. DOI: 10.1097/RLI.0000000000001075.
[4]
PALANIVELU L, CHEN Y Y, CHANG C J, et al. Investigating brain–gut microbiota dynamics and inflammatory processes in an autistic-like rat model using MRI biomarkers during childhood and adolescence[J/OL]. NeuroImage, 2024, 302: 120899 [2026-02-11]. https://www.sciencedirect.com/science/article/pii/S1053811924003963via%3Dihub. DOI: 10.1016/j.neuroimage.2024.120899.
[5]
MYSTKOWSKA D, TUTAS A, JEZIERSKA-WOŹNIAK K, et al. High resolution small animals dedicated magnetic resonance scanners as a tool for laboratory rodents central nervous system imaging[J]. Pol Ann Med, 2013, 20(1): 62-68. DOI: 10.1016/j.poamed.2013.07.007.
[6]
FARRAR C T, KAMOUN W S, LEY C D, et al. In vivo validation of MRI vessel caliber index measurement methods with intravital optical microscopy in a U87 mouse brain tumor model[J]. Neuro Oncol, 2010, 12(4): 341-350. DOI: 10.1093/neuonc/nop032.
[7]
HARGREAVES B A, WORTERS P W, PAULY K B, et al. Metal-induced artifacts in MRI[J]. AJR Am J Roentgenol, 2011, 197(3): 547-555. DOI: 10.2214/AJR.11.7364.
[8]
GEETHANATH S, VAUGHAN J T. Accessible magnetic resonance imaging: a review[J/OL]. Magnetic Resonance Imaging, 2019, 49(7) [2026-02-11]. https://onlinelibrary.wiley.com/doi/10.1002/jmri.26638. DOI: 10.1002/jmri.26638.
[9]
LU H F, MIAO X Y, WANG D, et al. Feasibility and clinical application of 5-T noncontrast Dixon whole-heart coronary MR angiography: a prospective study[J/OL]. Radiology, 2024, 313(1): e240389 [2026-02-11]. https://pubmed.ncbi.nlm.nih.gov/39436288/. DOI: 10.1148/radiol.240389.
[10]
WEI Z D, CHEN Q Y, HAN S H, et al. 5T magnetic resonance imaging: radio frequency hardware and initial brain imaging[J]. Quant Imaging Med Surg, 2023, 13(5): 3222-3240. DOI: 10.21037/qims-22-945.
[11]
LIU J X, GAN J. 5.0T ultra-high-field whole-body magnetic resonance imaging: technological breakthroughs and challenges[J]. Chin J Med Imaging, 2025, 33(7): 689-693. DOI: 10.3969/j.issn.1005-5185.2025.07.001.
[12]
FRANK D, GRUENBAUM B F, ZVENIGORODSKY V, et al. Establishing a 3-tesla magnetic resonance imaging method for assessing diffuse axonal brain injury in rats[J/OL]. Int J Mol Sci, 2024, 25(8): 4234 [2026-02-11]. https://www.mdpi.com/1422-0067/25/8/4234. DOI: 10.3390/ijms25084234.
[13]
OLESHKO A, GRUENBAUM B F, ZVENIGORODSKY V, et al. The role of isolated diffuse axonal brain injury on post-traumatic depressive- and anxiety-like behavior in rats[J/OL]. Transl Psychiatry, 2025, 15(1): 113 [2026-02-11]. https://pubmed.ncbi.nlm.nih.gov/40164582/. DOI: 10.1038/s41398-025-03333-3.
[14]
HONG N. Clinical application value and research progresses of 5.0T MRI[J]. Chin J Med Imaging Technol, 2024, 40(5): 641-642. DOI: 10.13929/j.issn.1003-3289.2024.05.001.
[15]
GIOVANNETTI G, FRIJIA F, FLORI A, et al. Full-wave simulation of a solenoid RF coil for small animal magnetic resonance imaging with a clinical scanner[J/OL]. Sensors (Basel), 2025, 25(9): 2673 [2026-02-11]. https://pubmed.ncbi.nlm.nih.gov/40363112/. DOI: 10.3390/s25092673.
[16]
SOKOL S L, COLWELL Z A, KANDALA S K, et al. Flexible metamaterial wrap for improved head imaging at 3 T MRI with low-cost and easy fabrication method[J]. IEEE Antennas Wirel Propag Lett, 2022, 21(10): 2075-2079. DOI: 10.1109/lawp.2022.3190696.
[17]
KOLOSKOV V, BRINK W M, WEBB A G, et al. Flexible metasurface for improving brain imaging at 7T[J]. Magn Reson Med, 2024, 92(2): 869-880. DOI: 10.1002/mrm.30088.
[18]
LI B B, XIE R B, SUN Z C, et al. Nonlinear metamaterials enhanced surface coil array for parallel magnetic resonance imaging[J/OL]. Nat Commun, 2024, 15: 7949 [2026-02-11]. https://www.nature.com/articles/s41467-024-52423-1. DOI: 10.1038/s41467-024-52423-1.
[19]
CHI Z H, YI Y, WANG Y K, et al. Adaptive cylindrical wireless metasurfaces in clinical magnetic resonance imaging[J/OL]. Adv Mater, 2021, 33(40): 2102469 [2026-02-11]. https://advanced.onlinelibrary.wiley.com/doi/10.1002/adma.202102469. DOI: 10.1002/adma.202102469.
[20]
STOJA E, KONSTANDIN S, PHILIPP D, et al. Improving magnetic resonance imaging with smart and thin metasurfaces[J/OL]. Sci Rep, 2021, 11(1): 16179 [2026-02-11]. https://pubmed.ncbi.nlm.nih.gov/34376748/. DOI: 10.1038/s41598-021-95420-w.
[21]
ZHU X, WU K, ANDERSON S W, et al. Wearable coaxially-shielded metamaterial for magnetic resonance imaging[J/OL]. Adv Mater, 2024, 36(31): e2313692 [2026-02-11]. https://pubmed.ncbi.nlm.nih.gov/38569592/. DOI: 10.1002/adma.202313692.
[22]
ZHAO X G, DUAN G W, WU K, et al. Intelligent metamaterials based on nonlinearity for magnetic resonance imaging[J/OL]. Adv Mater, 2019, 31(49): e1905461 [2026-02-11]. https://pubmed.ncbi.nlm.nih.gov/31663651/. DOI: 10.1002/adma.201905461.
[23]
XIANG C, WEI S F, HE H Y, et al. Flexible ultrathin metasurface with open-ring spiral resonators for SNR enhancement in low-field 0.2 T MRI[J/OL]. Magn Reson Imaging, 2025, 123: 110493 [2026-02-11]. https://linkinghub.elsevier.com/retrieve/pii/S0730725X25001778. DOI: 10.1016/j.mri.2025.110493.
[24]
JACOBS P S, WILSON N, BRINK W, et al. Enhancement of in vivo 7T magnetic resonance neuroimaging via flexible metasurfaces[J/OL]. npj Imaging, 2026, 4(1): 29 [2026-02-11]. https://pubmed.ncbi.nlm.nih.gov/41991752/. DOI: 10.1038/s44303-026-00162-x.
[25]
DU F, LI N, YANG X, et al. Design and construction of an 8-channel transceiver coil array for rat imaging at 9.4 T[J/OL]. J Magn Reson, 2023, 351: 107302 [2026-02-11]. https://pubmed.ncbi.nlm.nih.gov/37116433/. DOI: 10.1016/j.jmr.2022.107302.
[26]
KONG X Z, XIAO X, LIU Y, et al. Compact metamaterial-inspired RF coil based on split-ring resonators to enhance the magnetic field for 1.5T magnetic resonance imaging[J/OL]. Opt Commun, 2024, 556: 130280 [2026-02-11]. https://linkinghub.elsevier.com/retrieve/pii/S0030401824000178. DOI: 10.1016/j.optcom.2024.130280.
[27]
KRETOV E I, SHCHELOKOVA A V, SLOBOZHANYUK A P. Control of the magnetic near-field pattern inside MRI machine with tunable metasurface[J/OL]. Appl Phys Lett, 2019, 115(6): 061604 [2026-02-11]. https://pubs.aip.org/aip/apl/article-abstract/115/6/061604/37940/Control-of-the-magnetic-near-field-pattern-insideredirectedFrom=fulltext. DOI: 10.1063/1.5099413.
[28]
SEYEDSAADAT S M, SEYED SAADAT S N, PATEL V, et al. Ultrahigh-field 7-T MRI in neuroradiology: a comprehensive clinical review[J/OL]. Radiographics, 2026, 46(1): e250194 [2026-02-11]. https://pubmed.ncbi.nlm.nih.gov/41411163/. DOI: 10.1148/rg.250194.
[29]
JIANG Z Y, SUN W B, XU D, et al. The feasibility of half-dose contrast-enhanced scanning of brain tumours at 5.0 T: a preliminary study[J/OL]. BMC Med Imaging, 2024, 24(1): 88 [2026-02-11]. https://link.springer.com/article/10.1186/s12880-024-01270-z. DOI: 10.1186/s12880-024-01270-z.
[30]
SHEN L T, CHENG Y, LIU J, et al. Reduced FOV T2-weighted imaging, 2.5D T2-weighted imaging, and high b-value diffusion-weighted imaging of the prostate at 5 T: a comparative study with 3 T[J]. Abdom Radiol, 2025, 50(11): 5324-5337. DOI: 10.1007/s00261-025-04954-4.
[31]
MARKICEVIC M, SAVVATEEV I, GRIMM C, et al. Emerging imaging methods to study whole-brain function in rodent models[J/OL]. Transl Psychiatry, 2021, 11(1): 457 [2026-02-11]. https://pubmed.ncbi.nlm.nih.gov/34482367/. DOI: 10.1038/s41398-021-01575-5.
[32]
MONDRAGON-LOZANO R, DIAZ-RUIZ A, RÍOS C, et al. Feasibility of in vivo quantitative magnetic resonance imaging with diffusion weighted imaging, T2relaxometry-weighted, and diffusion tensor imaging in a clinical 3 tesla magnetic resonance scanner for the acute traumatic spinal cord injury of rats: technical note[J/OL]. Spine, 2013, 38(20): E1242-E1249 [2026-02-11]. https://journals.lww.com/spinejournal/pages/default.aspx. DOI: 10.1097/brs.0b013e31829ef69c.
[33]
FELDER J, CELIK A A, CHOI C H, et al. 9.4T small animal MRI using clinical components for direct translational studies[J/OL]. J Transl Med, 2017, 15(1): 264 [2026-02-11]. https://link.springer.com/article/10.1186/s12967-017-1373-7. DOI: 10.1186/s12967-017-1373-7.
[34]
ROAT S, NOHAVA L, LAISTLER E. Mechanically adjustable 4-channel RF transceiver coil array for rat brain imaging in a whole-body 7 T MR scanner[J/OL]. Sensors, 2024, 24(16): 5377 [2026-02-11]. https://www.mdpi.com/1424-8220/24/16/5377. DOI: 10.3390/s24165377.
[35]
HODGE R D, BAKKEN T E, MILLER J A, et al. Conserved cell types with divergent features in human versus mouse cortex[J]. Nature, 2019, 573(7772): 61-68. DOI: 10.1038/s41586-019-1506-7.
[36]
WANG Z S, LIU J X, LI Z Z, et al. Comparative analysis of image quality in routine cranial MRI scans: 5.0T vs 3.0T[J]. J Med Imaging, 2025, 35(8): 10-15. DOI: 10.20258/j.cnki.1006-9011.2025.08.003.
[37]
GU J Y, LIU C, LI Y, et al. Combined enriched environment and fluoxetine enhance myelin protein expression in the prefrontal cortex of a chronic unpredictable stress depression model[J/OL]. Behav Brain Funct, 2025, 21(1): 16 [2026-02-11]. https://link.springer.com/article/10.1186/s12993-025-00282-1. DOI: 10.1186/s12993-025-00282-1.
[38]
MENG P, LIU T T, ZHONG Z Y, et al. A novel rat model of cerebral small vessel disease based on vascular risk factors of hypertension, aging, and cerebral hypoperfusion[J]. Hypertens Res, 2024, 47(8): 2195-2210. DOI: 10.1038/s41440-024-01741-4.
[39]
PEREGO C, FUMAGALLI F, MOTTA F, et al. Evolution of brain injury and neurological dysfunction after cardiac arrest in the rat - A multimodal and comprehensive model[J]. J Cereb Blood Flow Metab, 2024, 44(11): 1316-1329. DOI: 10.1177/0271678X241255599.
[40]
GOZALO-MARCILLA M, REDONDO J I, BETTSCHART- WOLFENSBERGER R, et al. The Confidential Enquiry into Perioperative Equine Fatalities: phase 4 (CEPEF4)-a worldwide observational, prospective, multicentre cohort study in 2025[J]. Vet Anaesth Analg, 2025, 52(5): 525-538. DOI: 10.1016/j.vaa.2025.06.005.
[41]
LU X, YU L Z, ZHOU C Y, et al. General anesthetics commonly used for laboratory animals[J]. Lab Anim Comp Med, 2022, 42(1): 18-25. DOI: 10.12300/j.issn.1674-5817.2022.011.

PREV Application value of deep learning reconstruction algorithm in accelerated lumbar spine MRI: A clinical study on image quality and efficiency optimization
NEXT Research progress on resting-state functional magnetic resonance imaging in brain functional remodeling in patients with chronic insomnia
  



Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn