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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Detalhes bibliográficos

Principais autores:	Yixuan Wu, Jeeun Kang, Wojciech G. Lesniak, Ala Lisok, Haichong K. Zhang, Russell H. Taylor, Martin G. Pomper, Emad M. Boctor
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2022-09-01
coleção:	Photoacoustics
Assuntos:	Spectroscopic photoacoustic imaging Prostate cancer Spectral unmixing Spectral system error Frame averaging Wavelength selection
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S221359792200043X
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