Unmixing multi-spectral photoacoustic sources in human carotid plaques using non-negative independent component analysis
Multi-spectral photoacoustic imaging (MSPAI) is promising for morphology assessment of carotid plaques; however, obtaining unique spectral characteristics of chromophores is cumbersome. We used MSPAI and non-negative independent component analysis (ICA) to unmix distinct signal sources in human caro...
Главные авторы: | M.U. Arabul, M.C.M. Rutten, P. Bruneval, M.R.H.M. van Sambeek, F.N. van de Vosse, R.G.P. Lopata |
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Формат: | Статья |
Язык: | English |
Опубликовано: |
Elsevier
2019-09-01
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Серии: | Photoacoustics |
Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S2213597918300260 |
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