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Image quality evaluation of conventional brain MRI sequences on 1.5 T helium-free magnetic resonance imaging
YAN Dong  ZHOU Fengyun  LI Na  XU Xiaoming  YANG Fan  ZHANG Wei  GU Dalong  WANG Luyao  CHENG Xiaoguang 

DOI:10.12015/issn.1674-8034.2026.05.003.


[Abstract] Objective To compare the image quality of 1.5 T helium-free magnetic resonance imaging (MRI) with that of conventional 1.5 T MRI in brain imaging, assessing the clinical feasibility of 1.5 T helium-free MRI.Materials and Methods This retrospective study included 100 patients (50 examined with 1.5 T helium-free MRI and 50 with conventional 1.5 T MRI) who underwent non-contrast brain scans. Subjective scoring was performed on T2-weighted imaging (T2WI) of brain parenchyma and cerebrospinal fluid (CSF). Quantitative measurements included signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) from T1 fluid-attenuated inversion recovery (Flair) sequences, as well as apparent diffusion coefficient (ADC) values from diffusion-weighted imaging (DWI). Weighted Kappa coefficients were used to evaluate intra-observer consistency in subjective scoring, while independent sample t-tests compared SNR, CNR, and ADC values between the two systems.Results The average subjective scores for brain parenchyma and CSF were 3.85 and 4.94, respectively, for helium-free MRI, compared to 4.26 and 4.74 for conventional MRI. Although the differences were statistically significant (P < 0.05), all scores met clinical diagnostic requirements. Objective analysis showed no significant differences (P > 0.05) in SNR (parietal, frontal, occipital lobes, and cerebellum) or ADC values (parietal, frontal, temporal, and occipital lobes) between the two systems.Conclusions The brain image quality of the 1.5 T helium-free MRI is comparable to that of the traditional 1.5 T helium-based MRI, and it meets the requirements of clinical diagnosis,indicating that helium-free MRI equipment has application potential in clinical practice.
[Keywords] liquid helium-free;brain imaging;image quality;magnetic resonance imaging;signal-to-noise ratio;contrast-to-noise ratio

YAN Dong1   ZHOU Fengyun2   LI Na1   XU Xiaoming1   YANG Fan1   ZHANG Wei1   GU Dalong1   WANG Luyao1   CHENG Xiaoguang1*  

1 Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China

2 Department of Radiology, Chongqing University Cancer Hospital, Chongqing 400030, China

Corresponding author: CHENG X G, E-mail: xiao65@263.net

Conflicts of interest   None.

Received  2025-01-05
Accepted  2025-08-29
DOI: 10.12015/issn.1674-8034.2026.05.003
DOI:10.12015/issn.1674-8034.2026.05.003.

[1]
XING H X. Application value analysis of magnetic resonance brain plain scan and diffusion imaging in the diagnosis of cerebral infarction[J]. J Imag Res Med Appl, 2023, 7(8): 117-119. DOI: 10.3969/j.issn.2096-3807.2023.08.038.
[2]
HUANG H X, CHEN J, DAI R, et al. Application of MRI contrast-enhanced FLAIR sequence in the evaluation of brain metastases[J]. J Jiangsu Univ Med Ed, 2023, 33(6): 528-533. DOI: 10.13312/j.issn.1671-7783.y230125.
[3]
XIAO H, ZHAO F, SUN L. Guiding significance of thrombolytic therapy in patients with acute ischemic stroke in dwi-flair mismatch unknown time window group[J]. J Med Forum, 2023, 44(18): 106-109, 113.
[4]
JIANG M, YAO D W, DENG W, et al. Preliminary observation of the anatomical structure of the brain in hu-sheep by 1.5 T magnetic resonance imaging system[J]. Chin J Anim Vet Sci, 2020, 51(1): 170-178. DOI: 10.11843/j.issn.0366-6964.2020.01.019.
[5]
ZHANG L A, LIAO Y, LIU C L, et al. Comparison of image quality of brain between birdcage head coils and CTL spine coil[J]. J Med Imag, 2021, 31(3): 397-401.
[6]
SUZUKI M, FUSHIMI Y, OKADA T, et al. Quantitative and qualitative evaluation of sequential PET/MRI using a newly developed mobile PET system for brain imaging[J]. Jpn J Radiol, 2021, 39(7): 669-680. DOI: 10.1007/s11604-021-01105-9.
[7]
LI A A. Application of magnetic resonance brain plain scan and diffusion imaging in the diagnosis of cerebral infarction[J]. China Science and Technology Periodical Database-Medicine, 2024(3): 96-99. DOI: 10.3969/j.issn.2096-3807.2023.08.038.
[8]
ZHOU F G. Application value of magnetic resonance imaging in the diagnosis of craniocerebral glioma[J]. Shenzhen J Integr Tradit Chin West Med, 2023, 33(8): 57-60. DOI: 10.16458/j.cnki.1007-0893.2023.08.018.
[9]
CHEN Y Q, WU S J. Application value of magnetic resonance imaging in the diagnosis of craniocerebral glioma[J]. Med Equip, 2023, 36(3): 74-76. DOI: 10.3969/j.issn.1002-2376.2023.03.021.
[10]
Bianjibu.. Hospital magnetic resonance imaging: towards the era of liquid helium-free[J]. China Hosp CEO, 2020, 16(13): 82-83.
[11]
YU H X. Feasibility and technical essentials of developing MRI helium-free superconducting magnets[J]. Chin J Med Instrum, 2018, 42(5): 345-349. DOI: 10.3969/j.issn.1671-7104.2018.05.010.
[12]
LIU Y, HUO R, LIU J F, et al. Evaluation of image quality of brain injury in preterm infants by pediatric 3.0 T special magnetic resonance imaging[J]. Chin J Magn Reson Imag, 2022, 13(3): 61-65. DOI: 10.12015/issn.1674-8034.2022.03.012.
[13]
TAKATSU Y, HARADA S, MURAYAMA K, et al. Comparative analysis of synthetic and conventional magnetic resonance imaging features across various brain regions[J/OL]. Eur J Radiol, 2025, 185: 111947 [2025-01-04]. https://pubmed.ncbi.nlm.nih.gov/40036930/. DOI: 10.1016/j.ejrad.2025.111947.
[14]
LEE Y, WILM B J, BRUNNER D O, et al. On the signal-to-noise ratio benefit of spiral acquisition in diffusion MRI[J]. Magn Reson Med, 2021, 85(4): 1924-1937. DOI: 10.1002/mrm.28554.
[15]
MARQUES J P, SIMONIS F F J, WEBB A G. Low-field MRI: an MR physics perspective[J]. J Magn Reson Imaging, 2019, 49(6): 1528-1542. DOI: 10.1002/jmri.26637.
[16]
BRUNNER P, SCHNEIDER J, BORRADORI-TOLSA C, et al. Transient tone anomalies in very preterm infants: Association with term-equivalent brain magnetic resonance imaging and neurodevelopment at 18 months[J/OL]. Early Hum Dev, 2020, 143: 104998 [2025-01-04]. https://pubmed.ncbi.nlm.nih.gov/32145503/. DOI: 10.1016/j.earlhumdev.2020.104998.
[17]
SOTARDI S, GOLLUB R L, BATES S V, et al. Voxelwise and regional brain apparent diffusion coefficient changes on MRI from birth to 6 years of age[J]. Radiology, 2021, 298(2): 415-424. DOI: 10.1148/radiol.2020202279.
[18]
YANG C B, YANG Q, DANG S, et al. Effect of two different diffusion weighted imaging with ultra-high b values on image quality in postate cancer MRI[J]. Chin J Med Imag, 2018, 26(8): 606-611. DOI: 10.3969/j.issn.1005-5185.2018.08.012.
[19]
HALES P W, D'ARCO F, COOPER J, et al. Arterial spin labelling and diffusion-weighted imaging in paediatric brain tumours[J/OL]. Neuroimage Clin, 2019, 22: 101696 [2025-01-04]. https://pubmed.ncbi.nlm.nih.gov/30735859/. DOI: 10.1016/j.nicl.2019.101696.
[20]
ZHAO T T, HUANG J, CHI W. The diagnostic advantages of MRI in cerebral infarction: multi-sequence imaging and improved sensitivity in early detection[J/OL]. Altern Ther Health Med, 2024: AT10598 [2025-01-04]. https://pubmed.ncbi.nlm.nih.gov/39038319/.
[21]
ZHAO H, SUN Y J, WANG B T, et al. Effect of different B values on texture feature parameters of diffusion-weighted imaging in brain[J]. China Med Devices, 2022, 37(7): 89-92. DOI: 10.3969/j.issn.1674-1633.2022.07.019.
[22]
YOU R F. The Application Research of 3D-ASL Combined with Multi-b-Value DWI in the Preoperative Grading of Brain Glioma[D]. Hengyang: University of South China, 2019. DOI: 10.27234/d.cnki.gnhuu.2019.000096.
[23]
ZHANG H, HUANG H J, ZHANG Y Y, et al. Diffusion-weighted MRI to assess sacroiliitis: improved image quality and diagnostic performance of readout-segmented echo-planar imaging (EPI) over conventional single-shot EPI[J]. AJR Am J Roentgenol, 2021, 217(2): 450-459. DOI: 10.2214/AJR.20.23953.
[24]
ZHU Q Q, CHEN X Y, JIN Q, et al. Leveraging professional radiologists' expertise to enhance LLMs' evaluation for AI-generated radiology reports[J/OL]. Proc (IEEE Int Conf Healthc Inform), 2024, 2024: 402-411 [2025-01-04]. https://pubmed.ncbi.nlm.nih.gov/39691157/. DOI: 10.1109/ichi61247.2024.00058.
[25]
ALMANSOUR H, AFAT S, FRITZ V, et al. Prospective image quality and lesion assessment in the setting of MR-guided radiation therapy of prostate cancer on an MR-linac at 1.5 T: a comparison to a standard 3 T MRI[J/OL]. Cancers (Basel), 2021, 13(7): 1533 [2025-01-04]. https://pubmed.ncbi.nlm.nih.gov/33810410/. DOI: 10.3390/cancers13071533.
[26]
XU C L, MA W T, ZHANG Y X, et al. A controlled study on the impacts of different scanning protocols on image quality and radiation dose in chest CT[J]. Chin J Radiol Med Prot, 2024, 44(9): 789-796. DOI: 10.3760/cma.j.cn112271-20240101-00001.
[27]
SUH P S, PARK J E, ROH Y H, et al. Improving diagnostic performance of MRI for temporal lobe epilepsy with deep learning-based image reconstruction in patients with suspected focal epilepsy[J]. Korean J Radiol, 2024, 25(4): 374-383. DOI: 10.3348/kjr.2023.0842.
[28]
ZU W Q, XIE S H, ZHAO Q, et al. Embedded prompt tuning: Towards enhanced calibration of pretrained models for medical images[J/OL]. Med Image Anal, 2024, 97: 103258 [2025-01-04]. https://pubmed.ncbi.nlm.nih.gov/38996667/. DOI: 10.1016/j.media.2024.103258.
[29]
NOCUM D J, ROBINSON J, HALAKI M, et al. Comparison of image quality assessments between interventional radiographers and interventional radiologists using digital subtraction angiography[J/OL]. J Med Imaging (Bellingham), 2023, 10(2): 025501 [2025-01-04]. https://pubmed.ncbi.nlm.nih.gov/36910881/. DOI: 10.1117/1.JMI.10.2.025501.

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