千葉大学　羽石研究室

Evaluation of Organ Blood Flow State Using the Spectral Information

(分光情報を利用した臓器血行状態の評価)

Improving color appearance of organ using spectrally tunable light source

M1：Yoko Kurabuchi

When surgeons determine the condition of the organs and make diagnosis, color difference is important information. However, the color difference is sometimes subtle.For the purpose of clarify the blood circulation,we designed the optimal white illuminant by combining with some kinds of LEDs.In order to realize the lightning condition in actual space, we propose the spectrally tunable light source by using some LEDs.the color difference under the optimal illumination is better than the conventional illuminant using these methods..

Intraoperative Oxygen Saturation Estimation of Gastrointestinal Tissue by Transmitted Light Intensity Analysis

Yoshitaka Minami(graduate)

In the reconstructive and resection surgery of hollow organs such as the small intestine, determination of the viability is very important. This determination has been performed by the surgeon’s visual inspection. However, it is subjective. For this reason, we study about the quantification of viability by estimating oxygen saturation using spectral information of organ. First, we prototyped an acquisition setup of organ transmission, and acquired spectral transmission from swine small intestines. Then, we built the organ absorbance model based on the Lambert-Beer law using acquired spectral data. Now, we are developing a method to estimate tissue oxygen saturation of organ using the built model.

共同研究者：フロンティア医工学センター　川平洋准教授

研究費：文部科学省科学研究費補助金基盤研究(B)（課題番号：25282151）千葉大学COEスタートアッププログラム

受賞：

外部発表リスト：
学会発表

南佳岳，大西峻，川平洋，羽石秀昭：透過光強度解析に基づく術中臓器の健常性定量化の基礎検討，電子情報通信学会技術報告， Vol.113，No.410，pp.295-300，メディカルイメージング連合フォーラム2014，那覇市ぶんかテンブス館 (2014.1.26-27)
南佳岳，大西峻，川平洋，羽石秀昭：透過光強度解析に基づく術中臓器の酸素飽和度推定，O2-2，情報フォトニクス研究会，電気通信大学（2014.3.4）

Quantitative evaluation of blood circulation in organ using near-infrared spectroscopic

Chie Tezuka(graduate)

When surgeons transplant the abdominal organ, it is necessary to judge whether the organ before and after transplantation is healthy. However it is difficult to discriminate a small difference of organ’s color visually. For the purpose of quantitative evaluation of blood circulation, we estimate tissue oxygen saturation of organ using near-infrared spectroscopic images. In the estimation method, we assume that the organ consist of three components, oxygenated hemoglobin, deoxygenated hemoglobin, and other tissues and model reflection of light by Lambert-Beer’s law. Concentration of each component is estimated and the oxygen saturation is calculated from the concentration of oxygenated hemoglobin and deoxygenated hemoglobin.