Literature DB >> 24298417

Quantitative comparison of analysis methods for spectroscopic optical coherence tomography.

Nienke Bosschaart1, Ton G van Leeuwen, Maurice C G Aalders, Dirk J Faber.   

Abstract

Spectroscopic optical coherence tomography (sOCT) enables the mapping of chromophore concentrations and image contrast enhancement in tissue. Acquisition of depth resolved spectra by sOCT requires analysis methods with optimal spectral/spatial resolution and spectral recovery. In this article, we quantitatively compare the available methods, i.e. the short time Fourier transform (STFT), wavelet transforms, the Wigner-Ville distribution and the dual window method through simulations in tissue-like media. We conclude that all methods suffer from the trade-off in spectral/spatial resolution, and that the STFT is the optimal method for the specific application of the localized quantification of hemoglobin concentration and oxygen saturation.

Entities:  

Keywords:  (030.1640) Coherence; (070.4790) Spectrum analysis; (160.4760) Optical properties; (170.6510) Spectroscopy, tissue diagnostics

Year:  2013        PMID: 24298417      PMCID: PMC3829551          DOI: 10.1364/BOE.4.002570

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  15 in total

1.  Fourier-domain low-coherence interferometry for light-scattering spectroscopy.

Authors:  Adam Wax; Changhuei Yang; Joseph A Izatt
Journal:  Opt Lett       Date:  2003-07-15       Impact factor: 3.776

2.  Near-infrared dyes as contrast-enhancing agents for spectroscopic optical coherence tomography.

Authors:  Chenyang Xu; Jian Ye; Daniel L Marks; Stephen A Boppart
Journal:  Opt Lett       Date:  2004-07-15       Impact factor: 3.776

3.  In vivo low-coherence spectroscopic measurements of local hemoglobin absorption spectra in human skin.

Authors:  Nienke Bosschaart; Dirk J Faber; Ton G van Leeuwen; Maurice C G Aalders
Journal:  J Biomed Opt       Date:  2011-10       Impact factor: 3.170

4.  Estimation of oxygen saturation from erythrocytes by high-resolution spectroscopic optical coherence tomography.

Authors:  Ji Yi; Xu Li
Journal:  Opt Lett       Date:  2010-06-15       Impact factor: 3.776

5.  Comparative performance analysis of time-frequency distributions for spectroscopic optical coherence tomography.

Authors:  Chenyang Xu; Farzad Kamalabadi; Stephen A Boppart
Journal:  Appl Opt       Date:  2005-04-01       Impact factor: 1.980

6.  Spectral measurement of absorption by spectroscopic frequency-domain optical coherence tomography.

Authors:  R Leitgeb; M Wojtkowski; A Kowalczyk; C K Hitzenberger; M Sticker; A F Fercher
Journal:  Opt Lett       Date:  2000-06-01       Impact factor: 3.776

7.  Temporal coherence and time-frequency distributions in spectroscopic optical coherence tomography.

Authors:  Robert N Graf; Adam Wax
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2007-08       Impact factor: 2.129

8.  Imaging a full set of optical scattering properties of biological tissue by inverse spectroscopic optical coherence tomography.

Authors:  Ji Yi; Vadim Backman
Journal:  Opt Lett       Date:  2012-11-01       Impact factor: 3.776

9.  Molecular imaging true-colour spectroscopic optical coherence tomography.

Authors:  Francisco E Robles; Christy Wilson; Gerald Grant; Adam Wax
Journal:  Nat Photonics       Date:  2011-10-23       Impact factor: 38.771

10.  Dual window method for processing spectroscopic optical coherence tomography signals with simultaneously high spectral and temporal resolution.

Authors:  Francisco Robles; Robert N Graf; Adam Wax
Journal:  Opt Express       Date:  2009-04-13       Impact factor: 3.894

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  11 in total

1.  In vivo analysis of burns in a mouse model using spectroscopic optical coherence tomography.

Authors:  Jason R Maher; Volker Jaedicke; Manuel Medina; Howard Levinson; Maria Angelica Selim; William J Brown; Adam Wax
Journal:  Opt Lett       Date:  2014-10-01       Impact factor: 3.776

2.  Quantitative microvascular hemoglobin mapping using visible light spectroscopic Optical Coherence Tomography.

Authors:  Shau Poh Chong; Conrad W Merkle; Conor Leahy; Harsha Radhakrishnan; Vivek J Srinivasan
Journal:  Biomed Opt Express       Date:  2015-03-24       Impact factor: 3.732

3.  Comment on "Quantitative comparison of analysis methods for spectroscopic optical coherence tomography".

Authors:  Maciej Kraszewski; Michał Trojanowski; Marcin R Strąkowski
Journal:  Biomed Opt Express       Date:  2014-08-12       Impact factor: 3.732

4.  Quantitative comparison of analysis methods for spectroscopic optical coherence tomography: reply to comment.

Authors:  Nienke Bosschaart; Ton G van Leeuwen; Maurice C G Aalders; Dirk J Faber
Journal:  Biomed Opt Express       Date:  2014-08-12       Impact factor: 3.732

5.  Design and optimization of line-field optical coherence tomography at visible wavebands.

Authors:  Fangjian Xing; Jang-Hoon Lee; Collin Polucha; Jonghwan Lee
Journal:  Biomed Opt Express       Date:  2021-02-09       Impact factor: 3.732

6.  Molecular Imaging in Optical Coherence Tomography.

Authors:  Scott P Mattison; Wihan Kim; Jesung Park; Brian E Applegate
Journal:  Curr Mol Imaging       Date:  2014-07-01

Review 7.  Functional optical coherence tomography: principles and progress.

Authors:  Jina Kim; William Brown; Jason R Maher; Howard Levinson; Adam Wax
Journal:  Phys Med Biol       Date:  2015-05-08       Impact factor: 3.609

8.  An Efficient Adaptive Window Size Selection Method for Improving Spectrogram Visualization.

Authors:  Shibli Nisar; Omar Usman Khan; Muhammad Tariq
Journal:  Comput Intell Neurosci       Date:  2016-08-24

9.  Structural and Functional Sensing of Bio-Tissues Based on Compressive Sensing Spectral Domain Optical Coherence Tomography.

Authors:  Luying Yi; Xiangyu Guo; Liqun Sun; Bo Hou
Journal:  Sensors (Basel)       Date:  2019-09-27       Impact factor: 3.576

Review 10.  Visible-light optical coherence tomography: a review.

Authors:  Xiao Shu; Lisa Beckmann; Hao Zhang
Journal:  J Biomed Opt       Date:  2017-12       Impact factor: 3.170

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