Visualization of quantitative lipid distribution in mouse liver through near-infrared hyperspectral imaging

Kyohei Okubo; Yuichi Kitagawa; Naoki Hosokawa; Masakazu Umezawa; Masao Kamimura; Tomonori Kamiya; Naoko Ohtani; Kohei Soga

doi:10.1364/BOE.413712

Visualization of quantitative lipid distribution in mouse liver through near-infrared hyperspectral imaging

Biomed Opt Express. 2021 Jan 12;12(2):823-835. doi: 10.1364/BOE.413712. eCollection 2021 Feb 1.

Authors

Kyohei Okubo¹, Yuichi Kitagawa¹, Naoki Hosokawa¹, Masakazu Umezawa¹, Masao Kamimura¹, Tomonori Kamiya², Naoko Ohtani², Kohei Soga¹

Affiliations

¹ Department of Materials Science and Technology, Faculty of Industrial Science and Technology, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo 125-8585, Japan.
² Department of Pathophysiology, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan.

Abstract

Lipid distribution in the liver provides crucial information for diagnosing the severity of fatty liver and fatty liver-associated liver cancer. Therefore, a noninvasive, label-free, and quantitative modality is eagerly anticipated. We report near-infrared hyperspectral imaging for the quantitative visualization of lipid content in mouse liver based on partial least square regression (PLSR) and support vector regression (SVR). Analysis results indicate that SVR with standard normal variate pretreatment outperforms PLSR by achieving better root mean square error (15.3 mg/g) and higher determination coefficient (0.97). The quantitative mapping of lipid content in the mouse liver is realized using SVR.