Generalized Image Reconstruction in Optical Coherence Tomography Using Redundant and Non-Uniformly-Spaced Samples

In this paper, we use Frame Theory to develop a generalized OCT image reconstruction method using redundant and non-uniformly spaced frequency domain samples that includes using non-redundant and uniformly spaced samples as special cases. We also correct an important theoretical error in the previou...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Karim Nagib, Biniyam Mezgebo, Namal Fernando, Behzad Kordi, Sherif S. Sherif
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
Acceso en línea:https://doaj.org/article/f4244208704e4684800b9d3d2e416594
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:f4244208704e4684800b9d3d2e416594
record_format dspace
spelling oai:doaj.org-article:f4244208704e4684800b9d3d2e4165942021-11-11T19:04:53ZGeneralized Image Reconstruction in Optical Coherence Tomography Using Redundant and Non-Uniformly-Spaced Samples10.3390/s212170571424-8220https://doaj.org/article/f4244208704e4684800b9d3d2e4165942021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7057https://doaj.org/toc/1424-8220In this paper, we use Frame Theory to develop a generalized OCT image reconstruction method using redundant and non-uniformly spaced frequency domain samples that includes using non-redundant and uniformly spaced samples as special cases. We also correct an important theoretical error in the previously reported results related to OCT image reconstruction using the Non-uniform Discrete Fourier Transform (NDFT). Moreover, we describe an efficient method to compute our corrected reconstruction transform, i.e., a <i>scaled</i> NDFT, using the Fast Fourier Transform (FFT). Finally, we demonstrate different advantages of our generalized OCT image reconstruction method by achieving (1) theoretically corrected OCT image reconstruction directly from non-uniformly spaced frequency domain samples; (2) a novel OCT image reconstruction method with a higher signal-to-noise ratio (SNR) using redundant frequency domain samples. Our new image reconstruction method is an improvement of OCT technology, so it could benefit all OCT applications.Karim NagibBiniyam MezgeboNamal FernandoBehzad KordiSherif S. SherifMDPI AGarticleoptical coherence tomographynon-uniform discrete fourier transformredundant samplesChemical technologyTP1-1185ENSensors, Vol 21, Iss 7057, p 7057 (2021)
institution DOAJ
collection DOAJ
language EN
topic optical coherence tomography
non-uniform discrete fourier transform
redundant samples
Chemical technology
TP1-1185
spellingShingle optical coherence tomography
non-uniform discrete fourier transform
redundant samples
Chemical technology
TP1-1185
Karim Nagib
Biniyam Mezgebo
Namal Fernando
Behzad Kordi
Sherif S. Sherif
Generalized Image Reconstruction in Optical Coherence Tomography Using Redundant and Non-Uniformly-Spaced Samples
description In this paper, we use Frame Theory to develop a generalized OCT image reconstruction method using redundant and non-uniformly spaced frequency domain samples that includes using non-redundant and uniformly spaced samples as special cases. We also correct an important theoretical error in the previously reported results related to OCT image reconstruction using the Non-uniform Discrete Fourier Transform (NDFT). Moreover, we describe an efficient method to compute our corrected reconstruction transform, i.e., a <i>scaled</i> NDFT, using the Fast Fourier Transform (FFT). Finally, we demonstrate different advantages of our generalized OCT image reconstruction method by achieving (1) theoretically corrected OCT image reconstruction directly from non-uniformly spaced frequency domain samples; (2) a novel OCT image reconstruction method with a higher signal-to-noise ratio (SNR) using redundant frequency domain samples. Our new image reconstruction method is an improvement of OCT technology, so it could benefit all OCT applications.
format article
author Karim Nagib
Biniyam Mezgebo
Namal Fernando
Behzad Kordi
Sherif S. Sherif
author_facet Karim Nagib
Biniyam Mezgebo
Namal Fernando
Behzad Kordi
Sherif S. Sherif
author_sort Karim Nagib
title Generalized Image Reconstruction in Optical Coherence Tomography Using Redundant and Non-Uniformly-Spaced Samples
title_short Generalized Image Reconstruction in Optical Coherence Tomography Using Redundant and Non-Uniformly-Spaced Samples
title_full Generalized Image Reconstruction in Optical Coherence Tomography Using Redundant and Non-Uniformly-Spaced Samples
title_fullStr Generalized Image Reconstruction in Optical Coherence Tomography Using Redundant and Non-Uniformly-Spaced Samples
title_full_unstemmed Generalized Image Reconstruction in Optical Coherence Tomography Using Redundant and Non-Uniformly-Spaced Samples
title_sort generalized image reconstruction in optical coherence tomography using redundant and non-uniformly-spaced samples
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/f4244208704e4684800b9d3d2e416594
work_keys_str_mv AT karimnagib generalizedimagereconstructioninopticalcoherencetomographyusingredundantandnonuniformlyspacedsamples
AT biniyammezgebo generalizedimagereconstructioninopticalcoherencetomographyusingredundantandnonuniformlyspacedsamples
AT namalfernando generalizedimagereconstructioninopticalcoherencetomographyusingredundantandnonuniformlyspacedsamples
AT behzadkordi generalizedimagereconstructioninopticalcoherencetomographyusingredundantandnonuniformlyspacedsamples
AT sherifssherif generalizedimagereconstructioninopticalcoherencetomographyusingredundantandnonuniformlyspacedsamples
_version_ 1718431680441614336