FIELD: medical equipment.
SUBSTANCE: invention relates to medicine, namely to medical technology, and is intended to determine the type of biological tissue based on the method of laser fluorescence spectroscopy. Method includes carrying out laser fluorescence spectroscopy when fluorescence is excited by laser radiation from the ultraviolet spectrum and recording the fluorescence emitted from the tissue using discriminant analysis for processing the received data. Excitation of fluorescence is carried out at a wavelength of 365 nm. Recording of autofluorescence spectra is carried out in the form of a data array consisting of n values of the fluorescence intensity {I1, I2…Ii…In} for a sequence of wavelengths {λ1, λ2…λi…λn} in the range from 420 to 720 nm. For the entire array of fluorescence intensities, an array of fluorescence contrast coefficients {K1, K2…Ki…Kn}, where where Imax – the maximum intensity of the backscattered signal at the original wavelength of the laser radiation illuminating the tissue. Using the method of principal components form a 1-dimensional array of principal components {PC1, PC2…PCi *…PC1}, which is defined as where {ai*j}1×n – matrix of coefficients of the principal component method, where i* = 1,2…1, j = 1,2…n. Further, on the basis of linear discriminant analysis, Fisher calculates an array of discriminant functions {f1, f2…fi**} of size m, where m is the number of types of fabric being classified – leather, bone marrow, periosteum, bone, muscle, fat, connective tissue, defined as , where {bi**j*}m×1 – matrix of coefficients of linear discriminant analysis of Fisher, where i** = 1,2…m, j* = 1,2…1, {c1, c2…cm} – an array of constant coefficients of the linear discriminant analysis of Fisher. Next, calculate the array of probabilities of belonging of the surveyed tissue to a particular class of tissue types {P1, P2…Pi**} of size m, where each of the probabilities refers to the corresponding classification of the type of biological tissue, according to the formula , where Pi** – probability of belonging of the examined tissue to class i**, maxfi** – the maximum value of the discriminant function in the array {f1, f2…fi**}. Next, find the maximum value of the probability of the array {P1, P2…Pi **} and based on it make a conclusion about the type of fabric, to which the study area belongs. Invention provides improved accuracy, reliability and medical informational content of diagnostic procedures, as well as enhanced functionality of diagnostic procedures.
EFFECT: invention is intended to determine the type of biological tissue based on the method of laser fluorescence spectroscopy.
1 cl, 2 dwg, 3 ex
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Authors
Dates
2019-01-09—Published
2017-08-03—Filed