Photoacoustic component resolution imaging method and device based on spectral encoding
An imaging method and coding technology, which are applied in the field of spectral coding photoacoustic imaging devices, can solve the problems that the concentration and distribution of the constituent elements of the mixture cannot be reflected well, and achieve the effect of getting rid of inaccurate images.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0059] Embodiment 1 Device of the present invention
[0060] figure 1 It is a schematic diagram of the structure of the device of the present invention. The device of the present invention includes an excitation light source component, a signal collection component, and a computer component, and the above components are electrically connected in sequence. The LABVIEW acquisition program controls each component to realize the following workflow. While the excitation light component outputs laser pulses, it simultaneously outputs a trigger signal, which drives the acquisition component to collect photoacoustic signals. The collected photoacoustic signals are transmitted to the computer component for real-time recording. After completion, drive the stepper motor to rotate a certain angle for the next collection. Among them, the pulsed laser beam emitted by the tunable laser 1-1 in the excitation light source component is divided into two beams at the beam splitter 1-2 (the refle...
Embodiment 3
[0063] In Example 3, the photoacoustic image of the dye-pigment mixed system obtained in Example 2 is processed by using the quantitative analysis algorithm of the mixed system elements.
[0064] The photoacoustic image is processed by the quantitative analysis algorithm of the elements of the mixed system, and the absorption spectra of the three elements in the mixed system are measured by a spectrophotometer in advance, and the extinction coefficient spectrum is obtained by calculation, such as figure 2 As shown in (b), then calculate the extinction coefficients of the three elements at 532nm, 750nm and 800nm (in this example, indocyanine green 1818&64325&80270, heme 41307.2&507.9&821.7, methylene blue 7466.9&860.2&1299.4 ), assign the value to the corresponding position of the algorithm, and then use the algorithm to solve the two photoacoustic images point by point, and finally get the concentration distribution of the three elements at each point, and express it in the ...
Embodiment 5
[0067] Example 5 The photoacoustic image of the mixed system of biological tissues obtained in Example 4 is processed by applying the quantitative analysis algorithm of the elements of the mixed system.
[0068] The photoacoustic image is processed by the quantitative analysis algorithm of the elements of the mixed system, and the absorption spectrum of the two elements in the mixed system is measured by a spectrophotometer in advance, and the extinction coefficient spectrum is obtained by calculation, such as Figure 4 As shown in (b), then calculate the extinction coefficients of the two elements at 1064nm and 532nm (in this example, blood 0.393&0.976, muscle 0.2384&0.143), assign them to the corresponding positions of the algorithm, and then use the algorithm to compare the two A photoacoustic image is solved point by point, and finally the concentration distribution of the two elements at each point is obtained, and it is expressed in the form of an image, such as Figure ...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 