Academic Journal
Blind spectral unmixing for characterization of plaque composition based on multispectral photoacoustic imaging
| Τίτλος: | Blind spectral unmixing for characterization of plaque composition based on multispectral photoacoustic imaging |
|---|---|
| Συγγραφείς: | Cano, Camilo, Matos, Catarina, Gholampour, Amir, van Sambeek, Marc, Lopata, Richard, Wu, Min |
| Πηγή: | Cano, C, Matos, C, Gholampour, A, van Sambeek, M, Lopata, R & Wu, M 2023, 'Blind spectral unmixing for characterization of plaque composition based on multispectral photoacoustic imaging', Scientific Reports, vol. 13, no. 1, 4119. https://doi.org/10.1038/s41598-023-31343-y |
| Έτος έκδοσης: | 2023 |
| Θεματικοί όροι: | Humans, Photoacoustic Techniques/methods, Diagnostic Imaging, Plaque, Atherosclerotic/diagnostic imaging, Spectrum Analysis/methods, Carotid Arteries/diagnostic imaging |
| Περιγραφή: | To improve the assessment of carotid plaque vulnerability, a comprehensive characterization of their composition is paramount. Multispectral photoacoustic imaging (MSPAI) can provide plaque composition based on their absorption spectra. However, although various spectral unmixing methods have been developed to characterize different tissue constituents, plaque analysis remains a challenge since its composition is highly complex and diverse. In this study, we employed an adapted piecewise convex multiple-model endmember detection method to identify carotid plaque constituents. Additionally, we explore the selection of the imaging wavelengths in linear models by conditioning the coefficient matrix and its synergy with our unmixing approach. We verified our method using plaque mimicking phantoms and performed ex-vivo MSPAI on carotid endarterectomy samples in a spectral range from 500 to 1300 nm to identify the main spectral features of plaque materials for vulnerability assessment. After imaging, the samples were processed for histological analysis to validate the photoacoustic decomposition. Results show that our approach can perform spectral unmixing and classification of highly heterogeneous biological samples without requiring an extensive fluence correction, enabling the identification of relevant components to assess plaque vulnerability. |
| Τύπος εγγράφου: | article in journal/newspaper |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | English |
| ISSN: | 2045-2322 |
| Relation: | info:eu-repo/semantics/altIdentifier/pmid/36914717; info:eu-repo/semantics/altIdentifier/pissn/2045-2322 |
| DOI: | 10.1038/s41598-023-31343-y |
| Διαθεσιμότητα: | https://research.tue.nl/en/publications/bd4dda27-b1e9-40a8-8030-706c4baf29b9 https://doi.org/10.1038/s41598-023-31343-y https://pure.tue.nl/ws/files/345969304/s41598-023-31343-y.pdf https://www.scopus.com/pages/publications/85150087572 |
| Rights: | info:eu-repo/semantics/openAccess |
| Αριθμός Καταχώρησης: | edsbas.3F371A69 |
| Βάση Δεδομένων: | BASE |
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