イチノセ　マサシ   ICHINOSE Masashi   一之瀬　真志    所属   明治大学  経営学部    職種   専任教授
言語種別	英語
発行・発表の年月	2023/10
形態種別	学術雑誌
査読	査読あり
標題	Deep-learning-based separation of shallow and deep layer blood flow rates in diffuse correlation spectroscopy.
執筆形態	共著(筆頭者以外)
掲載誌名	Biomedical optics express
掲載区分	国外
巻・号・頁	14(10),pp.5358-5375
国際共著	国際共著
著者・共著者	Mikie Nakabayashi, Siwei Liu, Nawara Mahmood Broti, Masashi Ichinose, Yumie Ono
概要	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-layer flow rates to auto-correlation functions, we accurately predict the shallow and deep-layer flow rates (RMSE = 0.047 and 0.034 ml/min/100 g of simulated tissue, R2 = 0.99 and 0.99, respectively) in a two-layer flow phantom experiment. This approach is useful in evaluating the blood flow responses of active muscles, where both cutaneous and deep-muscle blood flow increase with exercise.
DOI	10.1364/BOE.498693
ISSN	2156-7085
PMID	37854549