Deep-learning-based separation of shallow and deep layer blood flow rates in diffuse correlation spectroscopy

Diffuse correlation spectroscopy faces challenges concerning the contamination of cutaneous and deep tissue blood flow. We propose a long short-term memory network to directly quantify the flow rates of shallow and deep-layer tissues. By exploiting the different contributions of shallow and deep-lay...

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Veröffentlicht in:Biomedical optics express 2023-10, Vol.14 (10), p.5358-5375
Hauptverfasser: Nakabayashi, Mikie, Liu, Siwei, Broti, Nawara Mahmood, Ichinose, Masashi, Ono, Yumie
Format: Artikel
Sprache:eng
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