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International Journal of Advanced Engineering Application

ISSN: 3048-6807

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Analyzing The Core: Algorithmic Framework for Bone Fracture Detection.

Author(s):Aditya Achawale�,Prof.Yogita More�, Pratik Ghuge�, Ganesh Zole?,5Ashwin Bnkar

Affiliation: 1,3,4,5Student, computer science engineering 2Prof, computer science engineering 1,2,3,4,5Shree Ramchandra college of engineering, Maharashtra, India.

Page No: 17-21

Volume issue & Publishing Year: Volume 1 Issue 3,July-2024

Journal: International Journal of Advanced Engineering Application (IJAEA)

ISSN NO: 3048-6807

DOI:

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Abstract:
This paper investigates novel algorithmic frameworks for bone fracture detection, emphasizing their feasibility and applicability. Inspired by synthetic aperture radar techniques, the study explores Microwave Imaging (MWI) for non-ionizing diagnosis of superficial bone fractures. This approach is particularly useful in emergency situations where X-rays are either unavailable or not recommended, such as for pregnant women or children. The method employs a single Vivaldi antenna operating within the 8.3-11.1 GHz frequency range to scan bones, collecting scattered fields and reconstructing images using the Kirchhoff migration algorithm. A key advantage is the system's operational simplicity in air, negating the need for immersion liquids. To enhance accuracy, Singular Value Decomposition (SVD) is used to mitigate skin and background artifacts. Testing through simulations and experiments on multilayer phantoms and ex-vivo animal bones demonstrated the technique's efficacy in detecting small bone transverse fractures (as narrow as 1 mm and up to 13 mm deep), even through a 2 mm thick skin layer. This highlights the system's potential to overcome conventional diagnostic limitations

Keywords: Microwave Imaging, Non-Ionizing Diagnosis, Superficial Bone Fractures, Synthetic Aperture Radar, Singular Value Decomposition (SVD), Bone Morphology

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