Intelligent frequency-division modulation type multichannel near infrared spectrum cerebral function imaging method

Abstract

The invention discloses an intelligent frequency-division modulation type multichannel near infrared spectrum cerebral function imaging method and relates to the technical field of medical imaging. The method comprises the steps of frequency band division, original frequency generation, space frequency modulation and other wave length light source frequency modulation. During imaging, all alight sources are lightened at the same time according to modulation frequency, parallel detection frequency can be improved remarkably, and time resolution can be improved. Space frequency modulation is conducted according to parameters including spatial distance and channel connection, the characteristic that the strength of photonic signals is weakened exponentially as detection distance increases is considered, the interference of spectrum leakage between the light sources is reduced, and signal-to-noise ratio can be increased. Due to the fact that space frequency modulation is conducted, parallel modulation of frequencies of multiple light sources is achieved, leakage between frequency components is avoided, and the method has incomparable application advantages in multichannel fNIRS imaging.

Description

technical field [0001] The invention relates to the technical field of medical imaging, in particular to a multi-channel near-infrared spectrum brain function imaging method with intelligent frequency division modulation. Background technique [0002] In recent years, among brain functional imaging methods, near-infrared spectroscopy (Functional near-infrared spectroscopy, fNIRS) has developed into an indispensable new generation of imaging modality in brain function research and clinical diagnosis. fNIRS uses near-infrared spectroscopy with a wavelength in the range of 650-1000nm to detect changes in optical absorption characteristics caused by brain metabolism, and calculates the deoxygenated hemoglobin (HbR) and oxygen-carrying hemoglobin (HbO 2 ) relative change in concentration. Compared with other brain functional imaging methods, such as EEG and functional magnetic resonance imaging, fNIRS has the advantages of high cost performance, high temporal resolution, moderat...

AI Technical Summary

Problems solved by technology

However, in the existing methods, the light sources to be modulated at the same time should not be too many, otherwise there will be leakage between various frequency components, resulting in crosstalk between detection channels

For the fNIRS imaging system that can cover the whole brain, the number of light sources is large, which is limited by factors such as noise, digital-to-analog converter (AD) performance, and cost. Leakage causes crosstalk between adjacent detection channels, reducing the accuracy and signal-to-noise ratio of signal acquisition

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