Assessment of Image Quality for Optimal MRI Diagnostic Device Applied to Parameter Changes with 3D FRE at 1.5 T and 3.0 T

AUTHORS

Eun-Hoe Goo,Department of Radiological Science, Cheongju University, Cheongju, Chungbuk,360-764, Republic of Korea

ABSTRACT

The data analysis in this study was conducted to compare the advantages and disadvantages of the 1.5 T 3D TOF HSR method and the 3.0 T 3D TOF SR method, in order to determine whether 1.5 T can complement the image quality of intracranial vessels For SNRs and CNRs, significant results were obtained owing to the high scores of 3.0 T (p<0.05). In the qualitative analysis, significant results were obtained for the A3, M3-M4, and P3-P4 segments owing to the high scores of 1.5 T (p<0.05). However, both 1.5 T and 3.0 T 3D FFE TOF methods provided images that allowed qualitative assessment. The findings of this study confirmed that 1.5 T 3D HRS MRI can complement 3.0 T 3D SR MRI.

 

KEYWORDS

High spatial resolution, Standard resolution

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CITATION

  • APA:
    Goo,E.H.(2019). Assessment of Image Quality for Optimal MRI Diagnostic Device Applied to Parameter Changes with 3D FRE at 1.5 T and 3.0 T. International Journal of Multimedia and Ubiquitous Engineering, 14(2), 1-6. http://dx.doi.org/10.21742/IJMUE.2019.14.2.01
  • Harvard:
    Goo,E.H.(2019). "Assessment of Image Quality for Optimal MRI Diagnostic Device Applied to Parameter Changes with 3D FRE at 1.5 T and 3.0 T". International Journal of Multimedia and Ubiquitous Engineering, 14(2), pp.1-6. doi:http://dx.doi.org/10.21742/IJMUE.2019.14.2.01
  • IEEE:
    [1]E.H.Goo, "Assessment of Image Quality for Optimal MRI Diagnostic Device Applied to Parameter Changes with 3D FRE at 1.5 T and 3.0 T". International Journal of Multimedia and Ubiquitous Engineering, vol.14, no.2, pp.1-6, Nov. 2019
  • MLA:
    Goo Eun-Hoe. "Assessment of Image Quality for Optimal MRI Diagnostic Device Applied to Parameter Changes with 3D FRE at 1.5 T and 3.0 T". International Journal of Multimedia and Ubiquitous Engineering, vol.14, no.2, Nov. 2019, pp.1-6, doi:http://dx.doi.org/10.21742/IJMUE.2019.14.2.01

ISSUE INFO

  • Volume 14, No. 2, 2019
  • ISSN(p):1975-0080
  • ISSN(o):2652-1954
  • Published:Nov. 2019

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