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

Document Type : Original Paper

Authors

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

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

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

10.22038/ijmp.2023.67732.2179

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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Articles in Press, Accepted Manuscript
Available Online from 04 March 2023
  • Receive Date: 07 September 2022
  • Revise Date: 24 February 2023
  • Accept Date: 04 March 2023
  • First Publish Date: 04 March 2023