An, L;
Cox, B;
(2016)
Independent component analysis for unmixing multi-wavelength photoacoustic images.
In: Oraevsky, AA and Wang, LV, (eds.)
Proceedings of SPIE 9708, Photons Plus Ultrasound: Imaging and Sensing 2016.
SPIE: San Francisco, California, United States.
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Abstract
Independent component analysis (ICA) is a blind source unmixing method that may be used under certain circumstances to decompose multi-wavelength photoacoustic (PA) images into separate components representing individual chromophores. It has the advantages of being fast, easy to implement and computationally inexpensive. This study uses simulated multi-wavelength PA images to investigate the conditions required for ICA to be an accurate unmixing method and compares its performance to linear inversion. An approximate fluence adjustment based on spatially homogeneous optical properties equal to that of the background region was applied to the PA images before unmixing with ICA or LI. ICA is shown to provide accurate separation of the chromophores in cases where the absorption coefficients are lower than certain thresholds, some of which are comparable to physiologically relevant values. However, the results also show that the performance of ICA abruptly deteriorates when the absorption is increased beyond these thresholds. In addition, the accuracy of ICA decreases in the presence of spatially inhomogeneous absorption in the background. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
| Type: | Proceedings paper |
|---|---|
| Title: | Independent component analysis for unmixing multi-wavelength photoacoustic images |
| Event: | SPIE 9708, Photons Plus Ultrasound: Imaging and Sensing 2016 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1117/12.2208137 |
| Publisher version: | https://doi.org/10.1117/12.2208137 |
| Language: | English |
| Additional information: | Copyright © 2016 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. |
| Keywords: | spectral unmixing, ICA, linear inversion, photoacoustic imaging, quantitative photoacoustic tomography, fluence correction, blind source separation |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1522554 |
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