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...
主要な著者: | , , , , , |
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フォーマット: | 論文 |
言語: | English |
出版事項: |
Elsevier
2019-09-01
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シリーズ: | Photoacoustics |
オンライン・アクセス: | http://www.sciencedirect.com/science/article/pii/S2213597918300260 |