Debye parameter extraction for characterizing interaction of terahertz radiation with human skin tissue

Truong, BCQ; Tuan, HD; Kha, HH; Nguyen, HT

Debye parameter extraction for characterizing interaction of terahertz radiation with human skin tissue

Truong, BCQ Tuan, HD

Kha, HH Nguyen, HT

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Biomedical Engineering, 2013, 60 (6), pp. 1528 - 1537
Issue Date:: 2013-05-23

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Field	Value	Language
dc.contributor.author	Truong, BCQ	en_US
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.contributor.author	Kha, HH	en_US
dc.contributor.author	Nguyen, HT https://orcid.org/0000-0003-3373-8178	en_US
dc.date.issued	2013-05-23	en_US
dc.identifier.citation	IEEE Transactions on Biomedical Engineering, 2013, 60 (6), pp. 1528 - 1537	en_US
dc.identifier.issn	0018-9294	en_US
dc.identifier.uri	http://hdl.handle.net/10453/23630
dc.description.abstract	This paper is concerned with parameter extraction for the double Debye model, which is used for analytically determining human skin permittivity. These parameters are thought to be the origin of contrast in terahertz (THz) images of skin cancer. The existing extraction methods could generate Debye models, which track their measurements accurately at frequencies higher than 1 THz but poorly at lower frequencies, where the majority of permittivity contrast between healthy and diseased skin tissues is actually observed. We propose a global optimization-based parameter extraction, which results in globally accurate tracking and thus supports the full validity of the Debye model for simulating human skin permittivity in the whole usable THz frequencies. Numerical results confirm viability of our novel methodology. © 1964-2012 IEEE.	en_US
dc.relation.ispartof	IEEE Transactions on Biomedical Engineering	en_US
dc.relation.isbasedon	10.1109/TBME.2013.2237908	en_US
dc.subject.classification	Biomedical Engineering	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Spectrum Analysis	en_US
dc.subject.mesh	Algorithms	en_US
dc.subject.mesh	Thermodynamics	en_US
dc.subject.mesh	Models, Theoretical	en_US
dc.subject.mesh	Computer Simulation	en_US
dc.subject.mesh	Skin Physiological Phenomena	en_US
dc.subject.mesh	Terahertz Radiation	en_US
dc.title	Debye parameter extraction for characterizing interaction of terahertz radiation with human skin tissue	en_US
dc.type	Journal Article
utslib.citation.volume	6	en_US
utslib.citation.volume	60	en_US
utslib.for	0903 Biomedical Engineering	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.issue	6	en_US
pubs.publication-status	Published	en_US
pubs.volume	60	en_US

Abstract:

This paper is concerned with parameter extraction for the double Debye model, which is used for analytically determining human skin permittivity. These parameters are thought to be the origin of contrast in terahertz (THz) images of skin cancer. The existing extraction methods could generate Debye models, which track their measurements accurately at frequencies higher than 1 THz but poorly at lower frequencies, where the majority of permittivity contrast between healthy and diseased skin tissues is actually observed. We propose a global optimization-based parameter extraction, which results in globally accurate tracking and thus supports the full validity of the Debye model for simulating human skin permittivity in the whole usable THz frequencies. Numerical results confirm viability of our novel methodology. © 1964-2012 IEEE.

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http://hdl.handle.net/10453/23630