Theoretical analysis of crosstalk between oxygenated and deoxygenated haemoglobin in focal brain-activation measurements by near-infrared topography

2008 ◽  
Vol 16 (4) ◽  
Author(s):  
H. Kawaguchi ◽  
N. Okui ◽  
K. Sakaguchi ◽  
E. Okada

AbstractThe crosstalk between concentration changes in oxygenated haemoglobin and deoxygenated haemoglobin calculated by the modified Lambert-Beer law in near-infrared topography is theoretically investigated. The changes in intensity detected with probe pairs on the scalp caused by the concentration change in either oxygenated or deoxygenated haemoglobin induced by the focal brain activation is predicted by Monte Carlo simulation. The topographic images of the changes in oxygenated and deoxygenated haemoglobin are obtained from the changes in the intensity of light at two wavelengths detected by probe pairs to evaluate the crosstalk. The crosstalk slightly depends on the positional relationship between the probe arrangement and the focal brain activation and is minimised when the focal brain activation is located below a measurement point that is the midpoint between a probe pair. The 690-/830-nm wavelength pair is practically effective for reducing the crosstalk, especially the crosstalk from oxygenated haemoglobin to deoxygenated haemoglobin, in the NIR topography.

2011 ◽  
Vol 105 (3) ◽  
pp. 183-189 ◽  
Author(s):  
Shuang Wang ◽  
Jianhua Zhao ◽  
Harvey Lui ◽  
Qingli He ◽  
Haishan Zeng

The Analyst ◽  
2018 ◽  
Vol 143 (18) ◽  
pp. 4306-4315 ◽  
Author(s):  
Pham K. Duy ◽  
Seulah Chun ◽  
Yoonjeong Lee ◽  
Hoeil Chung

The origin of particle size-induced near-infrared (NIR) spectral variation, which is fundamental for robust quantitative analysis, was systematically studied in conjunction with Monte Carlo simulation.


1997 ◽  
Vol 07 (06) ◽  
pp. 599-606
Author(s):  
Ming Jian ◽  
Alex C. Kot ◽  
Meng H. Er

A theoretical analysis of the performance of the maximum likelihood (ML) time delay estimate in a multi-path propagation is proposed. An expression for the probability of anomaly of the ML time delay estimate is obtained. Percentages of anomalous time delay estimates obtained through Monte Carlo simulation are shown to be in close agreement with theoretically predicted values.


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