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...
| Autores principales: | , , , , , |
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| Formato: | Artículo |
| Lenguaje: | English |
| Publicado: |
Elsevier
2019-09-01
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| Colección: | Photoacoustics |
| Acceso en línea: | http://www.sciencedirect.com/science/article/pii/S2213597918300260 |
| _version_ | 1828914184095531008 |
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| author | M.U. Arabul M.C.M. Rutten P. Bruneval M.R.H.M. van Sambeek F.N. van de Vosse R.G.P. Lopata |
| author_facet | M.U. Arabul M.C.M. Rutten P. Bruneval M.R.H.M. van Sambeek F.N. van de Vosse R.G.P. Lopata |
| author_sort | M.U. Arabul |
| collection | DOAJ |
| description | 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 carotid plaques blindly. The feasibility of the method was demonstrated on a plaque phantom with hemorrhage and cholesterol inclusions, and plaque endarterectomy samples ex vivo. Furthermore, the results were verified with histology using Masson's trichrome staining. Results showed that ICA could separate recent hemorrhages from old hemorrhages. Additionally, the signatures of cholesterol inclusion were also captured for the phantom experiment. Artifacts were successfully removed from signal sources. Histologic examinations showed high resemblance with the unmixed components and confirmed the morphologic distinction between recent and mature hemorrhages. In future pre-clinical studies, unmixing could be used for morphology assessment of intact human plaque samples. Keywords: Photoacoustic imaging, Blind unmixing, Independent component analysis, Atherosclerosis, Vulnerable plaques, Morphology, Histology |
| first_indexed | 2024-12-13T19:50:54Z |
| format | Article |
| id | doaj.art-b51a30f3fb3e47bca61990206ba33358 |
| institution | Directory Open Access Journal |
| issn | 2213-5979 |
| language | English |
| last_indexed | 2024-12-13T19:50:54Z |
| publishDate | 2019-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Photoacoustics |
| spelling | doaj.art-b51a30f3fb3e47bca61990206ba333582022-12-21T23:33:26ZengElsevierPhotoacoustics2213-59792019-09-0115Unmixing multi-spectral photoacoustic sources in human carotid plaques using non-negative independent component analysisM.U. Arabul0M.C.M. Rutten1P. Bruneval2M.R.H.M. van Sambeek3F.N. van de Vosse4R.G.P. Lopata5Biomedical Engineering, Eindhoven University of Technology, 5612 AJ Eindhoven, The NetherlandsBiomedical Engineering, Eindhoven University of Technology, 5612 AJ Eindhoven, The NetherlandsService d’Anatomie Pathologique, Hôpital Européen Georges Pompidou, 20 rue Leblanc, 75015 Paris, FranceBiomedical Engineering, Eindhoven University of Technology, 5612 AJ Eindhoven, The Netherlands; Vascular Surgery, Catharina Hospital Eindhoven, 5623 EJ Eindhoven, The NetherlandsBiomedical Engineering, Eindhoven University of Technology, 5612 AJ Eindhoven, The NetherlandsBiomedical Engineering, Eindhoven University of Technology, 5612 AJ Eindhoven, The Netherlands; Corresponding author.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 carotid plaques blindly. The feasibility of the method was demonstrated on a plaque phantom with hemorrhage and cholesterol inclusions, and plaque endarterectomy samples ex vivo. Furthermore, the results were verified with histology using Masson's trichrome staining. Results showed that ICA could separate recent hemorrhages from old hemorrhages. Additionally, the signatures of cholesterol inclusion were also captured for the phantom experiment. Artifacts were successfully removed from signal sources. Histologic examinations showed high resemblance with the unmixed components and confirmed the morphologic distinction between recent and mature hemorrhages. In future pre-clinical studies, unmixing could be used for morphology assessment of intact human plaque samples. Keywords: Photoacoustic imaging, Blind unmixing, Independent component analysis, Atherosclerosis, Vulnerable plaques, Morphology, Histologyhttp://www.sciencedirect.com/science/article/pii/S2213597918300260 |
| spellingShingle | M.U. Arabul M.C.M. Rutten P. Bruneval M.R.H.M. van Sambeek F.N. van de Vosse R.G.P. Lopata Unmixing multi-spectral photoacoustic sources in human carotid plaques using non-negative independent component analysis Photoacoustics |
| title | Unmixing multi-spectral photoacoustic sources in human carotid plaques using non-negative independent component analysis |
| title_full | Unmixing multi-spectral photoacoustic sources in human carotid plaques using non-negative independent component analysis |
| title_fullStr | Unmixing multi-spectral photoacoustic sources in human carotid plaques using non-negative independent component analysis |
| title_full_unstemmed | Unmixing multi-spectral photoacoustic sources in human carotid plaques using non-negative independent component analysis |
| title_short | Unmixing multi-spectral photoacoustic sources in human carotid plaques using non-negative independent component analysis |
| title_sort | unmixing multi spectral photoacoustic sources in human carotid plaques using non negative independent component analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2213597918300260 |
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