Abstract

Nanomedicine is a rapidly developing field of science that has the potential to treat a wide range of complicated ailments. This paper uses a mouse with an inflamed calf and iron oxide nanoparticles (IO-NPs) attached to the therapeutic medicine and put into the mouse’s eye to investigate drug delivery efficiency. The idea is to track and quantify drug delivered to the inflamed calf of the mouse. A high-resolution MRI approach was used to capture images of the inflammatory calf area. Knowing that iron oxide has a high magnetic strength in MRI, image processing techniques were used to calculate the position and number of IO-NPs linked to the administered medication. This paper proposes an image processing approach for detecting and extracting IO-NPs. The images go through pre-processing steps that includes noise filtering and background removal. IO-NPs are isolated from the surrounding tissues using Otsu’s method. The number of IO-NPs grouped in the region, as well as the quantity of medications supplied to the region of interest, can be estimated using IO-NPs extraction. The findings on nanoparticle detection and extraction appear to be a potential method for estimating the amount of medicine targeting a specific location.

Highlights

  • When complicated image processing tasks, such as spatiotemporal tracking, counting, and classifying huge numbers of cells, are required, computerized viewing and monitoring of biological cells in multiple imaging modalities is becoming increasingly critical

  • Cell recognition and spatiotemporal tracking have become popular in recent years [1]

  • To boost contrast and identify cells from tissues, cells must be injected with a contrast agent

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Summary

Introduction

When complicated image processing tasks, such as spatiotemporal tracking, counting, and classifying huge numbers of cells, are required, computerized viewing and monitoring of biological cells in multiple imaging modalities is becoming increasingly critical. Cell recognition and spatiotemporal tracking have become popular in recent years [1] Because it needs the use of specialized computer procedures, it is a difficult task to complete. MRI, hyperthermia treatment [3], tissue healing [4], and drug delivery systems (DDSs) are all examples of biological applications where NPs exhibit unique features. Because of their biocompatibility, acceptable surface design, and simplicity of conjugation with targeted ligands, SPIOs are employed as intracellular contrast agents. The distribution of high-resolution MRI images in the region of interest remains a difficult problem to solve [6]

Method
Image processing and quantification
Background subtraction
Contrast enhancement
Segmentation
Morphological operations
Quantification of NPs
Results
Conclusion
Discussion
Full Text
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