Unmixing multi-spectral photoacoustic sources in human carotid plaques using non-negative independent component analysis

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...

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Những tác giả chính: M.U. Arabul, M.C.M. Rutten, P. Bruneval, M.R.H.M. van Sambeek, F.N. van de Vosse, R.G.P. Lopata
Định dạng: Bài viết
Ngôn ngữ:English
Được phát hành: Elsevier 2019-09-01
Loạt:Photoacoustics
Truy cập trực tuyến:http://www.sciencedirect.com/science/article/pii/S2213597918300260

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http://www.sciencedirect.com/science/article/pii/S2213597918300260

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