The invention belongs to the field of optical parameter measurement in
tissue optics research, and relates to a multi-
wavelength tissue optical parameter trans-construction method based on a neural network. The method comprises: using double
integrating sphere technology and a high-sensitivity photoelectric
detector to collect reflected light and
transmitted light on the surface of a tested sample, and using a method of relative measurement to obtain the
reflectivity,
diffuse transmittance and collimation
transmittance of the sample; using a Monte Carlo method to establish a mapping model of a tissue optical parameter (mua, mus and g) to a measurement amount (Rd, Td and Tc); establishing a BP neural network containing two buried
layers, and adopting a
gradient descent weight learning function to
train a BP network; and predicting the optical parameter of the measured sample through the (Rd, Td and Tc) obtained by measurement in real time, wherein an input
signal of the neural network is (Rd, Td and Tc), and an output
signal is (mua, mus and g). The invention provides a device adopted by the method at the same time. The method provided by the invention can quickly and accurately measure the tissue optical parameters under multi-
wavelength.