Open AccessAnalysis and inspection techniques for mouse liver injury based on terahertz spectroscopy
Author(s) -
Pingjie Huang,
Yuqi Cao,
Jiani Chen,
Weiting Ge,
Dibo Hou,
Guangxin Zhang
Publication year - 2019
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.27.026014
Subject(s) - terahertz radiation , terahertz spectroscopy and technology , liver tissue , attenuation coefficient , spectroscopy , adaboost , liver injury , computer science , artificial intelligence , refractive index , optics , absorption (acoustics) , materials science , biomedical engineering , pattern recognition (psychology) , medical physics , physics , medicine , quantum mechanics , classifier (uml)
At present, researchers are exploring biological tissue detection method using terahertz techniques. In this paper, techniques to inspect mouse liver injury by using terahertz spectroscopy were studied. The boxplots were applied to remove abnormal data, and the maximal information coefficient was employed to select crucial features from the absorption coefficient and refractive index spectra. Random Forests and AdaBoost were applied to recognize different levels of liver injury. We found that AdaBoost had better performance on low-level injury classification. This work suggests that terahertz techniques have the potential to detect liver injury at an early stage and evaluate liver treatment strategies.