Terahertz spectral unmixing based method for identifying gastric cancer. (25th January 2018)

• Record Type: Journal Article
• Authors: Cao, Yuqi; Huang, Pingjie; Li, Xian; Ge, Weiting; Hou, Dibo; Zhang, Guangxin
• Is Part Of: Physics in medicine & biology. Volume 63:Number 3(2018:Feb.)
• Publication Date: 2018-01-25
• Subjects: terahertz time-domain spectroscopy -- spectral unmixing -- modified HMFA method -- gastric cancer -- pathological mechanism; Biophysics -- Periodicals; Medical physics -- Periodicals; 610.153
• DOI: 10.1088/1361-6560/aa9e1a
• Languages: English
• ISSNs: 0031-9155

Abstract

Abstract: At present, many researchers are exploring biological tissue inspection using terahertz time-domain spectroscopy (THz-TDS) techniques. In this study, based on a modified hard modeling factor analysis method, terahertz spectral unmixing was applied to investigate the relationships between the absorption spectra in THz-TDS and certain biomarkers of gastric cancer in order to systematically identify gastric cancer. A probability distribution and box plot were used to extract the distinctive peaks that indicate carcinogenesis, and the corresponding weight distributions were used to discriminate the tissue types. The results of this work indicate that terahertz techniques have the potential to detect different levels of cancer, including benign tumors and polyps.