Drug Delivery Control Using Iron Oxide Nanoparticles in Three-Dimensional Magnetic Resonance Imaging: A Descriptive Approach

Authors

  • Mohammed Almijalli Department of Biomedical Technology, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, Riyadh 11433, Saudi Arabia.
  • Khalid Alhussaini Department of Biomedical Technology, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, Riyadh 11433, Saudi Arabia.
  • Adham Aleid Department of Biomedical Technology, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, Riyadh 11433, Saudi Arabia.
  • Abdullatif Alwasel Department of Biomedical Technology, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, Riyadh 11433, Saudi Arabia.
  • Ali Saad Department of Biomedical Technology, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, Riyadh 11433, Saudi Arabia.

DOI:

https://doi.org/10.9734/bpi/rtcams/v9/2341B

Keywords:

Drug delivery, MRI, FCM algorithm, nanoparticle mining, nanomedicine

Abstract

The goal of this chapter is to explain how iron oxide nanoparticles are employed in 3D MRI to control drug distribution. It explains how to use MRI scans to detect and differentiate the cluster intensity produced by Iron oxide nanoparticles (IO-NPs) in order to assess medication delivery efficacy. The infected mouse's calf's eye was injected with IO-NPs linked to macrophages. The situation was difficult due to the limited resolution of MRI and the small size of the IO-NPs. Because of their high intensity in MRI, IO-NPs serve as a marker, allowing us to track the macrophages' progress. The location and amount of IO-NPs propagating into the inflamed mouse leg were calculated using an image processing approach. To choose the region of interest, a fuzzy Clustering technique was used (ROI). The detection and extraction of IO-NPs in MRI images were done using a 3D model of the femoral area. The obtained results show that the proposed strategy is effective in improving the control process of targeted drug delivery. It aids in therapy optimization and opens up a viable new research avenue for nanomedicine applications.

Published

2022-06-22

How to Cite

Mohammed Almijalli, Khalid Alhussaini, Adham Aleid, Abdullatif Alwasel, & Ali Saad. (2022). Drug Delivery Control Using Iron Oxide Nanoparticles in Three-Dimensional Magnetic Resonance Imaging: A Descriptive Approach . Recent Trends in Chemical and Material Sciences Vol. 9, 1–15. https://doi.org/10.9734/bpi/rtcams/v9/2341B

Issue

Recent Trends in Chemical and Material Sciences Vol. 9

Section

Chapters