Near infrared noninvasive quantitative measurement of oxygen content in hepatic tissues

Zhicheng Wang; Yan Tian; Jinwen Tian; Jian Liu; Zeping Xie

doi:10.1117/12.710923

27 October 2006 Near infrared noninvasive quantitative measurement of oxygen content in hepatic tissues

Zhicheng Wang, Yan Tian, Jinwen Tian, Jian Liu, Zeping Xie

Proceedings Volume 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine; 604724 (2006) https://doi.org/10.1117/12.710923
Event: Fourth International Conference on Photonics and Imaging in Biology and Medicine, 2005, Tianjin, China

Abstract

A new noninvasive measurement of oxygen contents in hepatic tissues using near-infrared technique according to physiological characteristics is proposed. The procedure can be divided into three categories. First a quantitative formula is introduced to measure oxygen contents in hepatic tissues based on the relationship between absorption coefficient and typical wavelengths, where 760nm and 850nm infrared wavebands are utilized in this paper. Second, many characteristics such as waveforms of oxygen contents in hepatic tissues, cross correlation of blood-oxygen and power spectrum of oxygen contents, are analyzed detailedly with regard to different symptoms in hepatic tissues. Finally, a conclusion can be drawn that waveforms of oxygen contents, cross correlation and power spectrum are three main features, which can well depict the symptoms of hepatic tissues. The proposed method is applied to examine 143 people, including 40 normal people and 103 patients with different symptoms in hepatic tissues. The false probability is 8.3% and the missing probability is 13.7% under specified criterion. The clinical experiments show that our proposed method is simple but effective and can be used to routine examinations or intensive care units for liverish patients.

Citation Download Citation

Zhicheng Wang, Yan Tian, Jinwen Tian, Jian Liu, and Zeping Xie "Near infrared noninvasive quantitative measurement of oxygen content in hepatic tissues", Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 604724 (27 October 2006); https://doi.org/10.1117/12.710923

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