Research Article
Classification of Bone Fracture Widths using CST-based Microwave Imaging Simulations
@INPROCEEDINGS{10.4108/eai.25-10-2023.2348745, author={Ebenezer Adjei and Prince O. Siaw and Joaquim M.C.S. Bastos and Ahmad Aldelemy}, title={Classification of Bone Fracture Widths using CST-based Microwave Imaging Simulations }, proceedings={Proceedings of the 3rd International Multi-Disciplinary Conference: “Integrated Sciences and Technologies”, IMDC-IST 2023, 25-27 October 2023, Yola, Nigeria}, publisher={EAI}, proceedings_a={IMDC-IST}, year={2024}, month={8}, keywords={fracture monopole antenna microwave imaging s-parameter fairfield bone phantom hematoma cst modelling}, doi={10.4108/eai.25-10-2023.2348745} }- Ebenezer Adjei
Prince O. Siaw
Joaquim M.C.S. Bastos
Ahmad Aldelemy
Year: 2024
Classification of Bone Fracture Widths using CST-based Microwave Imaging Simulations
IMDC-IST
EAI
DOI: 10.4108/eai.25-10-2023.2348745
Abstract
Human fracture has gained much popularity in the healthcare system due to its high rate of occurrences via conditions such as osteoporosis, accidents, and pressure exertion, particularly in the aged population. In this research, a low-cost and non-invasive microwave sensor technique is proposed as a medical imaging technique for bone fracture detection. A frequency range of 1 – 3 GHz for a patch antenna was designed for this research. The sensor was used to detect fracture depths of 0.2mm, 0.5mm, 1mm, and 2mm. The findings were compared to the S-parameter of the antenna when tested in free space and a bone without fracture. The results obtained from the S–S-parameter proved the concept of using the microwave sensor technique as an alternate cost-effective method in human fracture detection.
