Numerical simulation in magnetic resonance imaging radiofrequency dosimetry.

Christiana Subaar, Emmanuel Gyan, Kwadwo A Dompreh, Joseph K Amoako, George Edusei, Alfred Owusu
Author Information
  1. Christiana Subaar: Department of Physics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. ORCID
  2. Emmanuel Gyan: Department of Pharmaceutical Sciences, Faculty of Applied Sciences, Sunyani Technical University, Sunyani, Ghana.
  3. Kwadwo A Dompreh: Department of Physics, University of Cape Coast, Cape Coast, Ghana.
  4. Joseph K Amoako: Radiation Protection Institute, Ghana Atomic Energy Commission (GAEC), Accra, Ghana.
  5. George Edusei: University of Environment and Sustainable Development, Somanya, Ghana.
  6. Alfred Owusu: Department of Physics, University of Cape Coast, Cape Coast, Ghana.

Abstract

Magnetic Resonance Imaging (MRI) employs a radiofrequency electromagnetic field to create pictures on a computer. The prospective biological consequences of exposure to radiofrequency electromagnetic fields (RF EMFs) have not yet been demonstrated, and there is not enough evidence on biological hazards to offer a definite response concerning possible RF health dangers. Therefore, it is crucial to research the health concerns in reaction to RF EMFs, considering the entire exposure in terms of patients receiving MRI. Monitoring increases in temperaturethroughout MRI scan is extremely invasive and has resulted in a rise in the utilization of computational methods to estimate distributions of temperatures. The purpose of this study is to estimate the absorbed power of the brain exposed to RF in patients undergoing brain MRI scan. A three-dimensional Penne's bio-heat equation was modified to computationally analyze the temperature distributions and potential thermal effects within the brain during MRI scans in the 0.3 T to 1.5 T range (12.77 MHz to 63.87 MHz). The instantaneous temperature distributions of thetissue in the brain temperatures measured at a time, t = 20.62 s is 0.2 °C and t = 30.92 s is 0.4 °C, while the highest temperatures recorded at 1.03 min and 2.06 min were 0.4 °C and 0.6 °C accordingly. From the temperature distributions of thetissue in the brain temperatures measured, there is heat build-up in patients who are exposed to electromagnetic frequency ranges, and, consequently, temperature increases within patients are difficult to prevent. The study has, however, indicated that lengthier imaging duration appears to be related to increasing body temperature.

Keywords

MeSH Term

Magnetic Resonance Imaging
Humans
Radio Waves
Computer Simulation
Brain
Radiometry
Electromagnetic Fields
Temperature
Phantoms, Imaging

Word Cloud

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