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Erschienen in: Russian Journal of Nondestructive Testing 2/2023

01.12.2023 | THERMAL METHODS

Applicability of Nanoparticle Coating in Bone Density Evaluation Using Gaussian-Weighted Linear Frequency-Modulated Thermal Wave Imaging

verfasst von: Sancita Dass, Juned A Siddiqui, Ravibabu Mulaveesala

Erschienen in: Russian Journal of Nondestructive Testing | Ausgabe 2/2023

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Abstract

Active infrared thermography (IRT) helps address the constraints of conventional bone density diagnostic tactics, such as various bones requiring different testing methods, unilateral diagnosis, radiation exposure, testing duration, etc. Although active IRT provides promising diagnostic outcomes, it has limited depth penetration into the body, resulting in limited resolution. Despite the fact that numerous post-processing techniques are utilized to boost the intensity penetration of modulated thermal excitation, it is by no means restricted. Consequently, we tend to employ a nanoparticle coating approach in this study. We have coated iron oxide and titanium oxide nanoparticles with two promising excitations, linear frequency modulated (LFM) and Gaussian-weighted linear frequency- modulated (GWLFM). This research aimed to determine the effect of nanoparticle coating in conjunction with GWLFM as it offers increased compression qualities, sensitivity, and resolution. This is accomplished by constructing bone LFM models with varying bone densities and forms. As in the current study, nanoparticles and GWLFM are utilized to attain high depth resolution. Using signal-to-noise ratio, we evaluated diverse coating outcomes with LFM and GWLFM (SNR). In conjunction with GWLFM, titanium- and iron-based nanoparticle coatings are capable of enhancing the depth penetration for bone density measurement, according to our analysis.

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Metadaten
Titel
Applicability of Nanoparticle Coating in Bone Density Evaluation Using Gaussian-Weighted Linear Frequency-Modulated Thermal Wave Imaging
verfasst von
Sancita Dass
Juned A Siddiqui
Ravibabu Mulaveesala
Publikationsdatum
01.12.2023
Verlag
Pleiades Publishing
Erschienen in
Russian Journal of Nondestructive Testing / Ausgabe 2/2023
Print ISSN: 1061-8309
Elektronische ISSN: 1608-3385
DOI
https://doi.org/10.1134/S106183092260109X

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