System-level optimization in spectroscopic photoacoustic imaging of prostate cancer

This study presents a system-level optimization of spectroscopic photoacoustic (PA) imaging for prostate cancer (PCa) detection in three folds. First, we present a spectral unmixing model to segregate spectral system error (SSE). We constructed two noise models (NMs) for the laser spectrotemporal fl...

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Detalles Bibliográficos
Autores principales: Wu, Yixuan, Kang, Jeeun, Lesniak, Wojciech G., Lisok, Ala, Zhang, Haichong K., Taylor, Russell H., Pomper, Martin G., Boctor, Emad M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441267/
https://www.ncbi.nlm.nih.gov/pubmed/36068804
http://dx.doi.org/10.1016/j.pacs.2022.100378

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441267/
https://www.ncbi.nlm.nih.gov/pubmed/36068804
http://dx.doi.org/10.1016/j.pacs.2022.100378

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