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...

詳細記述

書誌詳細
主要な著者: M.U. Arabul, M.C.M. Rutten, P. Bruneval, M.R.H.M. van Sambeek, F.N. van de Vosse, R.G.P. Lopata
フォーマット: 論文
言語:English
出版事項: Elsevier 2019-09-01
シリーズ:Photoacoustics
オンライン・アクセス:http://www.sciencedirect.com/science/article/pii/S2213597918300260