The Silent Acoustic Noise Protocol of Magnetic Resonance Imaging Examination in the Case of Head Image

Document Type : Original Paper

Authors

1 Faculty of Science and Technology, Postgraduate School, Universitas Airlangga, Surabaya, Indonesia

2 Biomedical Engineering Master Degree, Department of Physics, Faculty of Science and Technology, Universitas Airlangga, Surabaya, Indonesia

3 Department of Physics, Faculty of Science and Technology, Universitas Airlangga, Surabaya, Indonesia

Abstract

Introduction: Health examinations are performed every six months. X-rays, magnetic resonance imaging (MRI), ECGs, and blood tests are all part of health examinations. In this investigation, the silent T2 Fast-Spin-Echo (FSE) and Gradient-Recalled Echo (GRE) MRI head examination sequences are compared. Noise is produced during an MRI test in addition to images.
Material and Methods: This research was conducted by adjusting the parameters on the MRI, such as time repeat (TR), time echo (TE), and echo train length (ETL). Then, the resulting silent sequence image is simulated with a simulation program.
Results: The variation of TR 440 with TE 24 in the GRE sequence for the white matter (WM) tissue has the highest signal to noise ratio (SNR) value. The cerebispinal fluid (CSF) tissue is also in the TR 560/TE 20 variant at the same time. Then, variations of TR 3360, TE 97, and ETL 33.6 have the highest peak signal to noise ratio (PSNR) measurement results in the WM or CSF tissue.
Conclusion: According to the study's findings, the average sound intensity level and mean square error (MSE) value produced by the GRE sequence protocol are less than those produced by the T2 FSE sequence protocol. While this is the case, the GRE sequence protocol generates an average PSNR value that is higher than the FSE T2 sequence protocol. The T2 FSE sequence with variations of TR 3360, TE 97, and ETL 33.6 may then be observed to be the best with the ideal noise level and SNR value.

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Main Subjects

References

  1. Ramani R. Basic Principles and Emerging Clinical Applications for Anesthesiology and the Neurological Sciences. Oxford University Press. 2018.
  2. Ravicz ME, Melcher JR. Isolating the auditory system from acoustic noise during functional magnetic resonance imaging: examination of noise conduction through the ear canal, head, and body. The Journal of the Acoustical Society of America. 2001 Jan 1;109(1):216-31.
  3. Kurdila HR, Zaidi T, Zhang T, Maruvada S, Rajan S. Survey of Acoustic Output in Neonatal Brain Protocols. Journal of Magnetic Resonance Imaging. 2021 Oct 1;54(4):1119–
  4. Ott M, Blaimer M, Grodzki DM, Breuer FA, Roesch J, Dörfler A, Heismann B, Jakob PM. Acoustic-noise-optimized diffusion-weighted imaging. Magnetic Resonance Materials in Physics, Biology and Medicine. 2015 Dec 1;28(6):511–
  5. Mohan J, Krishnaveni V, Guo Y. A survey on the magnetic resonance image denoising methods. Biomedical signal processing and control. 2014 Jan 1;9:56-69.
  6. Corcuera-Solano I, Doshi A, Pawha PS, Gui D, Gaddipati A, Tanenbaum LJ. Quiet PROPELLER MRI techniques match the quality of conventional PROPELLER brain imaging techniques. American Journal of Neuroradiology. 2015 Jun 1;36(6):1124-7.
  7. Nan J, Zong N, Chen Q, Zhang L, Zheng Q, Xia Y. A Structure Design Method for Reduction of MRI Acoustic Noise. Comput Math Methods Med. 2017;2017.
  8. Yamashiro T, Morita K, Nakajima K. Evaluation of magnetic resonance imaging acoustic noise reduction technology by magnetic gradient waveform control. Magn Reson Imaging. 2019 Nov 1;63:170–
  9. Lim TY, Kudchadker RJ, Wang J, Stafford RJ, Maclellan C, Rao A, et al. Effect of pulse sequence parameter selection on signal strength in positive-contrast MRI markers for MRI-based prostate postimplant assessment. Med Phys. 2016 Jul 1;43(7):4312–
  10. Verhappen MH, Pouwels PJW, Ljumanovic R, van der Putten L, Knol DL, de Bree R, et al. Diffusion-weighted MR imaging in head and neck cancer: Comparison between half-Fourier acquired single-shot turbo spin-echo and EPI techniques. American Journal of Neuroradiology. 2012 Aug;33(7):1239–
  11. Heismann B, Ott M, Grodzki D. Sequence‐based acoustic noise reduction of clinical MRI scans. Magnetic resonance in medicine. 2015 Mar;73(3):1104-9.
  12. Harrington SG, Jaimes C, Weagle KM, Greer ML, Gee MS. Strategies to perform magnetic resonance imaging in infants and young children without sedation. Pediatric radiology. 2022 Feb 1:1-8.
  13. Dong SZ, Zhu M, Bulas D. Techniques for minimizing sedation in pediatric MRI. Journal of Magnetic Resonance Imaging. 2019 Oct;50(4):1047-54.
Iranian Journal of Medical Physics
Volume 20, Issue 6 - Serial Number 6
November and December 2023
Pages 351-358

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History

  • Receive Date: 07 September 2022
  • Revise Date: 24 February 2023
  • Accept Date: 04 March 2023

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