Cargando…

Calibration Alignment Sensitivity in Corneal Terahertz Imaging

Improving the longitudinal modes coupling in layered spherical structure contributes significantly to corneal terahertz sensing, which plays a crucial role in the early diagnosis of cornea dystrophies. Using a steel sphere to calibrate reflection from the cornea sample assists in enhancing the resol...

Descripción completa

Detalles Bibliográficos
Autores principales: Zarrinkhat, Faezeh, Baggio, Mariangela, Lamberg, Joel, Tamminen, Aleksi, Nefedova, Irina, Ala-Laurinaho, Juha, Khaled, Elsayed E. M., Rius, Juan M., Romeu, Jordi, Taylor, Zachary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105978/
https://www.ncbi.nlm.nih.gov/pubmed/35590925
http://dx.doi.org/10.3390/s22093237
_version_ 1784708170287939584
author Zarrinkhat, Faezeh
Baggio, Mariangela
Lamberg, Joel
Tamminen, Aleksi
Nefedova, Irina
Ala-Laurinaho, Juha
Khaled, Elsayed E. M.
Rius, Juan M.
Romeu, Jordi
Taylor, Zachary
author_facet Zarrinkhat, Faezeh
Baggio, Mariangela
Lamberg, Joel
Tamminen, Aleksi
Nefedova, Irina
Ala-Laurinaho, Juha
Khaled, Elsayed E. M.
Rius, Juan M.
Romeu, Jordi
Taylor, Zachary
author_sort Zarrinkhat, Faezeh
collection PubMed
description Improving the longitudinal modes coupling in layered spherical structure contributes significantly to corneal terahertz sensing, which plays a crucial role in the early diagnosis of cornea dystrophies. Using a steel sphere to calibrate reflection from the cornea sample assists in enhancing the resolution of longitudinal modes. The requirement and challenges toward applying the calibration sphere are introduced and addressed. Six corneas with different properties are spotted to study the effect of perturbations in the calibration sphere in a frequency range from 100 GHz to 600 GHz. A particle-swarm optimization algorithm is employed to quantify corneal characteristics considering cases of accurately calibrated and perturbed calibrated scenarios. For the first case, the study is carried out with signal-to-noise values of 40 dB, 50 dB and 60 dB at waveguide bands WR- [Formula: see text] , WR- [Formula: see text] , and WR- [Formula: see text]. As expected, better estimation is achieved in high-SNR cases. Furthermore, the lower waveguide band is revealed as the most proper band for the assessment of corneal features. For perturbed cases, the analysis is continued for the noise level of 60 dB in the three waveguide bands. Consequently, the error in the estimation of corneal properties rises significantly (around [Formula: see text]).
format Online
Article
Text
id pubmed-9105978
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-91059782022-05-14 Calibration Alignment Sensitivity in Corneal Terahertz Imaging Zarrinkhat, Faezeh Baggio, Mariangela Lamberg, Joel Tamminen, Aleksi Nefedova, Irina Ala-Laurinaho, Juha Khaled, Elsayed E. M. Rius, Juan M. Romeu, Jordi Taylor, Zachary Sensors (Basel) Communication Improving the longitudinal modes coupling in layered spherical structure contributes significantly to corneal terahertz sensing, which plays a crucial role in the early diagnosis of cornea dystrophies. Using a steel sphere to calibrate reflection from the cornea sample assists in enhancing the resolution of longitudinal modes. The requirement and challenges toward applying the calibration sphere are introduced and addressed. Six corneas with different properties are spotted to study the effect of perturbations in the calibration sphere in a frequency range from 100 GHz to 600 GHz. A particle-swarm optimization algorithm is employed to quantify corneal characteristics considering cases of accurately calibrated and perturbed calibrated scenarios. For the first case, the study is carried out with signal-to-noise values of 40 dB, 50 dB and 60 dB at waveguide bands WR- [Formula: see text] , WR- [Formula: see text] , and WR- [Formula: see text]. As expected, better estimation is achieved in high-SNR cases. Furthermore, the lower waveguide band is revealed as the most proper band for the assessment of corneal features. For perturbed cases, the analysis is continued for the noise level of 60 dB in the three waveguide bands. Consequently, the error in the estimation of corneal properties rises significantly (around [Formula: see text]). MDPI 2022-04-22 /pmc/articles/PMC9105978/ /pubmed/35590925 http://dx.doi.org/10.3390/s22093237 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Zarrinkhat, Faezeh
Baggio, Mariangela
Lamberg, Joel
Tamminen, Aleksi
Nefedova, Irina
Ala-Laurinaho, Juha
Khaled, Elsayed E. M.
Rius, Juan M.
Romeu, Jordi
Taylor, Zachary
Calibration Alignment Sensitivity in Corneal Terahertz Imaging
title Calibration Alignment Sensitivity in Corneal Terahertz Imaging
title_full Calibration Alignment Sensitivity in Corneal Terahertz Imaging
title_fullStr Calibration Alignment Sensitivity in Corneal Terahertz Imaging
title_full_unstemmed Calibration Alignment Sensitivity in Corneal Terahertz Imaging
title_short Calibration Alignment Sensitivity in Corneal Terahertz Imaging
title_sort calibration alignment sensitivity in corneal terahertz imaging
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105978/
https://www.ncbi.nlm.nih.gov/pubmed/35590925
http://dx.doi.org/10.3390/s22093237
work_keys_str_mv AT zarrinkhatfaezeh calibrationalignmentsensitivityincornealterahertzimaging
AT baggiomariangela calibrationalignmentsensitivityincornealterahertzimaging
AT lambergjoel calibrationalignmentsensitivityincornealterahertzimaging
AT tamminenaleksi calibrationalignmentsensitivityincornealterahertzimaging
AT nefedovairina calibrationalignmentsensitivityincornealterahertzimaging
AT alalaurinahojuha calibrationalignmentsensitivityincornealterahertzimaging
AT khaledelsayedem calibrationalignmentsensitivityincornealterahertzimaging
AT riusjuanm calibrationalignmentsensitivityincornealterahertzimaging
AT romeujordi calibrationalignmentsensitivityincornealterahertzimaging
AT taylorzachary calibrationalignmentsensitivityincornealterahertzimaging