Presentation + Paper
1 August 2021 Hyperspectral terahertz imaging for human bone biometrics
Suzanna Freer, Cong Sui, Pavel Penchev, Stefan Dimov, Andrei Gorodetsky, Stephen M. Hanham, Liam M. Grover, Miguel Navarro-Cía
Author Affiliations +
Abstract
The realisation of hyperspectral terahertz imaging is a significant step towards understanding of the life sciences on all scales. A key to this understanding is the retrieval of dielectric properties from such images, a task which is plagued by experimental limitations, challenging the terahertz community for more than two decades. In this contribution, we propose a new combined retrieval methodology to overcome misalignments and Fabry-Pérot effects on the extraction of the dielectric properties of human bone samples through the combination of the Kramers-Kronig relations and Fabry-Pérot reflection modelling. Results extracted from ∼100 µm human bone slices composed largely of collagen are consistent with those measured for pristine collagen samples. This represents another stepping-stone towards the adoption of terahertz imaging into pre- and clinical practice.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Suzanna Freer, Cong Sui, Pavel Penchev, Stefan Dimov, Andrei Gorodetsky, Stephen M. Hanham, Liam M. Grover, and Miguel Navarro-Cía "Hyperspectral terahertz imaging for human bone biometrics", Proc. SPIE 11827, Terahertz Emitters, Receivers, and Applications XII, 118270T (1 August 2021); https://doi.org/10.1117/12.2595921
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KEYWORDS
Bone

Biometrics

Dielectrics

Millimeter wave imaging

Refractive index

Algorithm development

Collagen

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