Conference Paper
BibTex RIS Cite
Year 2023, Volume: 25, 134 - 149, 01.12.2023
https://doi.org/10.55549/epstem.1404322

Abstract

References

  • Albrecht, R., Sebag, D., & Verrecchia, E. (2015). Organic matter decomposition: bridging the gap between rock–eval pyrolysis and chemical characterization (CPMAS 13C NMR). Biogeochemistry, 122(1), 101-111.
  • Awojoyogbe, O. B., Dada, O. M., Faromika, O. P., & Dada, O. E. (2011). Mathematical concept of the Bloch flow equations for general magnetic resonance imaging: A review. Concepts in Magnetic Resonance Part A, 38(3), 85-101.
  • Becker, E. D. (1993). A brief history of nuclear magnetic resonance. Analytical chemistry, 65(6), 295-302.
  • Cooley, C. Z., Stockmann, J. P., Armstrong, B. D., Sarracanie, M., Lev, M. H., Rosen, M. S., & Wald, L. L. (2015). Two‐dimensional imaging in a lightweight portable MRI scanner without gradient coils. Magnetic Eesonance in Medicine, 73(2), 872-883.

Numerical Computation of NMR Magnetization for Various Tissues in the Human Body Using Oringinpro

Year 2023, Volume: 25, 134 - 149, 01.12.2023
https://doi.org/10.55549/epstem.1404322

Abstract

Nuc1ear magnetic resonance (NMR) spectroscopy and imaging arexarguab1y the most versati1e techniques use in biomedica1 research today. NMR spectroscopy is a powerfu1 and theoretica1 ana1ytica1 too1s. Since the deve1opment of NMR spectroscopy it is has become a very important too1s in the fie1d of medicine because of it being safer than the X-ray crysta11ography which has radiation effects on the human body. The most attractive features of NMR techniques are the wide range of bio1ogica1 processes that can be investigated using these methods and the variety and versati1ity of the specific MR techniques that can be app1ied. diagnosis of diseases. With the advent of computer programme, different computer programme has a1so being deve1oped for NMR spectroscopy for performing different ana1ysis on how e1ectromagnetic radiation interact with various form of matter. This research perform NMR ana1ysis of different tissue in the human body using Originpro. The research investigates various tissues of the human body, with the aid of Bloch flow equation the research obtained the transverse magnetization equation that was used for the tranverse magnetization map for the different tissues. Three different relaxation times consider for the different biological tissues are 0.5 T, 1.0 T and 1.5 T. The transverse magnetization for the various tissues are ca1cu1ated at different magnetic f1ux density, at range of 0-0.02 seconds and a length for the tissues were in the range of 4.5x10-12 to 4.5x10-m. The result shows that transverse magnetization was greater at 0.5 T for the tissues considered at the range of 4.5x10-12 to 4.5x10-5 m.

References

  • Albrecht, R., Sebag, D., & Verrecchia, E. (2015). Organic matter decomposition: bridging the gap between rock–eval pyrolysis and chemical characterization (CPMAS 13C NMR). Biogeochemistry, 122(1), 101-111.
  • Awojoyogbe, O. B., Dada, O. M., Faromika, O. P., & Dada, O. E. (2011). Mathematical concept of the Bloch flow equations for general magnetic resonance imaging: A review. Concepts in Magnetic Resonance Part A, 38(3), 85-101.
  • Becker, E. D. (1993). A brief history of nuclear magnetic resonance. Analytical chemistry, 65(6), 295-302.
  • Cooley, C. Z., Stockmann, J. P., Armstrong, B. D., Sarracanie, M., Lev, M. H., Rosen, M. S., & Wald, L. L. (2015). Two‐dimensional imaging in a lightweight portable MRI scanner without gradient coils. Magnetic Eesonance in Medicine, 73(2), 872-883.
There are 4 citations in total.

Details

Primary Language English
Subjects Environmental and Sustainable Processes
Journal Section Articles
Authors

Bilyaminu Usman

Ahmed Jimoh

Early Pub Date December 14, 2023
Publication Date December 1, 2023
Published in Issue Year 2023Volume: 25

Cite

APA Usman, B., & Jimoh, A. (2023). Numerical Computation of NMR Magnetization for Various Tissues in the Human Body Using Oringinpro. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 25, 134-149. https://doi.org/10.55549/epstem.1404322