eprintid: 10053146
rev_number: 20
eprint_status: archive
userid: 608
dir: disk0/10/05/31/46
datestamp: 2018-11-14 14:35:40
lastmod: 2021-10-13 22:54:25
status_changed: 2018-11-14 14:35:40
type: article
metadata_visibility: show
creators_name: An, L
creators_name: Cox, BT
title: Estimating relative chromophore concentrations from multiwavelength photoacoustic images using independent component analysis
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F42
keywords: Independent component analysis, Chromophores, Absorption,
Photoacoustic spectroscopy, Error analysis, Tissues,
Photoacoustic imaging
note: This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
abstract: Independent component analysis (ICA) is an unmixing method based on a linear model. It has previously been applied in in vivo multiwavelength photoacoustic imaging studies to unmix the components representing individual chromophores by assuming that they are statistically independent. Numerically simulated and experimentally acquired two-dimensional images of tissue-mimicking phantoms are used to investigate the conditions required for ICA to give accurate estimates of the relative chromophore concentrations. A simple approximate fluence correction was applied to reduce but not completely remove the nonlinear fluence distortion, as might be possible in practice. The results show that ICA is robust against the residual effect of the partially corrected fluence distortion. ICA is shown to provide accurate unmixing of the chromophores when the absorption coefficient is within a certain range of values, where the upper absorption threshold is comparable to the absorption of blood. When the absorption is increased beyond these thresholds, ICA abruptly fails to unmix the chromophores accurately. The ICA approach was compared to a linear spectroscopic inversion (SI) with known absorption spectra. In cases where the mixing matrix with the specific absorption spectra is ill-conditioned, ICA is able to provide accurate unmixing when SI results in large errors.
date: 2018-07-10
date_type: published
publisher: SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
official_url: https://doi.org/10.1117/1.JBO.23.7.076007
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1567617
doi: 10.1117/1.JBO.23.7.076007
lyricists_name: Cox, Benjamin
lyricists_id: BTCOX21
actors_name: Cuccu, Clara
actors_id: CCCUC40
actors_role: owner
full_text_status: public
publication: Journal of Biomedical Optics
volume: 23
number: 7
article_number: 076007
pages: 10
issn: 1560-2281
citation:        An, L;    Cox, BT;      (2018)    Estimating relative chromophore concentrations from multiwavelength photoacoustic images using independent component analysis.                   Journal of Biomedical Optics , 23  (7)    , Article 076007.  10.1117/1.JBO.23.7.076007 <https://doi.org/10.1117/1.JBO.23.7.076007>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10053146/1/An_Lu_Estimating.pdf