A trauma parameter detection system and method based on photoacoustic imaging

Abstract

The application claims a trauma parameter detection system and method based on photoacoustic imaging, belonging to the field of medical instruments. It comprises an input module, a trauma detection module, a trauma evaluation module and a result output module. The input module comprises a computer, an OPO high-frequency laser and an optical fiber, the output end of which is unidirectionally electrically connected with the input end of the trauma detection module; the trauma detection module comprises a concave ultrasonic array detector and an acquisition card to realize rapid data acquisition and real-time imaging, the output end of which is unidirectionally electrically connected with the input end of the trauma evaluation module; the output end of the trauma evaluation module is unidirectionally electrically connected with the input end of the result output module. The trauma scene diagnosis system based on photoacoustic imaging integrates the delay superposition algorithm and the multispectral photoacoustic quantitative image reconstruction algorithm in the computer, which simultaneously provides high-resolution real-time images of the internal structure of the tissue, tissue perfusion and tissue metabolic parameters, and can be used as a new type of image system for trauma scene diagnosis.

Description

Technical Field

[0001] This invention belongs to the field of medical devices, and specifically relates to a trauma parameter detection system based on photoacoustic imaging. Background Technology

[0002] With the rapid development of society and economy, the continuous progress of science and technology, and the improvement of people's living standards, trauma caused by earthquakes, construction site accidents, traffic accidents, military exercises, and battlefields occurs frequently, even though human intervention has not yet been able to effectively control them.

[0003] Among numerous natural disasters, earthquakes are the most severe, causing massive casualties. Strong earthquakes often trap large numbers of people under collapsed buildings. The construction industry is characterized by labor intensity, multiple trades operating simultaneously, high labor intensity, and a high risk factor, making safety hazards ubiquitous. Building collapses occur frequently, resulting in heavy casualties. With the continuous and rapid development of transportation infrastructure and the accelerating pace of motorization in my country, road traffic accidents are frequent and cause numerous casualties. Military exercises present complex situations, and even with numerous rules, errors and casualties are inevitable. Due to the widespread use of advanced and high-energy explosive weapons, as well as joint operations by multiple branches of the armed forces, the patterns and forms of modern warfare have undergone tremendous changes; however, bleeding remains the leading cause of death from battlefield trauma.

[0004] Modern trauma is characterized by severe injuries, multiple injuries, and simultaneous injuries to multiple individuals. Severe trauma can cause dysfunction of vital organs such as the heart, brain, lungs, and spinal cord, as well as excessive bleeding leading to shock and death. At the scene of a sudden trauma accident, medical rescue resources are often limited, especially in the initial stages when emergency medical personnel may be severely scarce. Therefore, limited emergency resources must be used efficiently, prioritizing the treatment of critically injured individuals. On-site diagnosis of the severity of trauma and classification based on injury can quickly identify critically injured individuals from the large number of casualties, securing precious time for immediate rescue and preventing death at the scene due to lack of timely treatment.

[0005] Medical imaging techniques include X-ray imaging, functional magnetic resonance imaging (fMRI), ultrasound imaging, and near-infrared functional imaging. X-ray imaging provides clear images and the equipment is reasonably priced; however, it emits ionizing radiation and cannot provide real-time, continuous monitoring of patients at the trauma scene. FMRI is superior to X-ray imaging for trauma examination; however, it typically requires a long scan time, necessitates the patient being still and immobilized, and requires the removal of metal from the body. The equipment is generally bulky, making it unsuitable for real-time detection at the trauma scene. Ultrasound imaging offers convenience, visualization, and non-invasiveness; however, it cannot provide direct evidence of the extent of limb damage and requires a high level of skill from the physician. Near-infrared functional imaging can diagnose early-stage trauma at the scene; however, its limited spatial resolution prevents precise localization of injuries and makes it difficult to detect minute lesions. Summary of the Invention

[0006] This invention aims to solve the problems of the prior art. It proposes a method for detecting trauma parameters based on photoacoustic imaging. The technical solution of this invention is as follows:

[0007] A trauma parameter detection system based on photoacoustic imaging includes: an input module, a trauma detection module, a trauma assessment module, and a result output module; the output terminal of the input module is connected to the input terminal of the trauma detection module; the output terminal of the trauma detection module is connected to the input terminal of the trauma assessment module; the output terminal of the trauma assessment module is connected to the input terminal of the result output module; wherein,

[0008] The input module includes a computer, an OPO high-frequency laser, and an optical fiber. The computer controls the OPO high-frequency laser to emit pulsed laser light, which is transmitted through the optical fiber to irradiate the biological tissue being tested and generate an ultrasonic signal, i.e., a photoacoustic signal.

[0009] The trauma detection module includes an acquisition module and an image display module. The acquisition module includes a concave ultrasonic array detector, a omnidirectional robotic arm, and a multi-channel data acquisition card. By adjusting the omnidirectional robotic arm, the center of the handheld concave ultrasonic array detector is placed vertically on the biological tissue being tested, enabling the concave ultrasonic array detector to quickly receive the photoacoustic signal caused by the excitation light emitted from the output end of the input module. The concave ultrasonic array detector is unidirectionally electrically connected to the acquisition card. The multi-channel data acquisition card acquires the photoacoustic signal received by the concave ultrasonic transducer and transmits the acquired photoacoustic information to the computer.

[0010] The hardware of the image display module includes a computer; the software is based on LabVIEW for real-time image display; the algorithm includes a delay overlay algorithm; the computer is unidirectionally electrically connected to a multi-channel data acquisition card, which receives photoacoustic signals acquired by the acquisition card and combines them with LabVIEW software and the delay overlay algorithm to display images in real time.

[0011] If the trauma assessment module is in a state of trauma, it uses a multispectral photoacoustic quantitative reconstruction algorithm to calculate abnormal hemodynamic parameters of the traumatized tissue.

[0012] Furthermore, the OPO high-frequency laser can achieve rapid wavelength switching, with rapid switching between three wavelengths of 760nm, 840nm and 930nm when the pulse frequency is 100Hz, that is, only the wavelength is changed while the other experimental conditions remain unchanged.

[0013] Furthermore, the optical fiber is split into ten and symmetrically fixed on both sides of the concave ultrasonic array detector along a semi-circular direction to achieve photoacoustic coaxiality.

[0014] Furthermore, the concave ultrasonic array detector has 256 chips; the multi-channel data acquisition card has 256 channels.

[0015] Furthermore, the concave ultrasonic array detector receives photoacoustic signals in conjunction with a semi-annular ultrasonic coupling pad. Embedding the semi-annular ultrasonic coupling pad between the tested biological tissue and the detector can eliminate air between the probe and the tested biological tissue, allowing the photoacoustic signal to be transmitted to the tested biological tissue with maximum coupling.

[0016] Furthermore, the real-time image display can determine whether the tissue has surface and internal trauma; the determination rule for whether there is trauma is as follows: in the soft tissue imaging area shown, the delay superposition algorithm is used to determine whether there is ischemia, hemorrhage, edema on the tissue surface and whether the internal structure will be displaced; the delay superposition algorithm works on the principle that different parts of the object to be imaged will generate photoacoustic signals with different time delays. When performing image inversion, the photoacoustic signals collected at each position are back-projected onto the circle centered on the probe for reconstruction, which can provide the internal structure and functional characteristics of biological tissue.

[0017] Furthermore, the rule for determining the degree of trauma is as follows: in the region of the tissue trauma shown, the specific values ​​of oxygenated hemoglobin, deoxygenated hemoglobin, total hemoglobin, blood flow velocity, oxygen saturation, oxygen metabolism rate, and water content parameters calculated by the multispectral photoacoustic quantitative image reconstruction algorithm.

[0018] Furthermore, the multispectral photoacoustic quantitative image reconstruction algorithm specifically involves: clearly imaging the internal vascular system of the lesion site of the traumatic limb using three wavelengths of 760nm, 840nm, and 930nm, respectively; then substituting these wavelengths into the formula relating endogenous contrast agents to calculate oxygenated hemoglobin, deoxygenated hemoglobin, total hemoglobin, blood flow velocity, oxygen saturation, oxygen metabolism rate, and water content. These indicators can all serve as direct criteria for the early diagnosis of the severity of limb trauma.

[0019] A method for detecting trauma parameters based on any one of the systems described above, comprising the following steps:

[0020] Step 1: Turn on all devices and set the parameters for laser pulse and sampling card;

[0021] Step 2: Insert the semi-circular ultrasonic coupling pad between the biological tissue being tested and the detector, and move the omnidirectional robotic arm so that the traumatic biological tissue area is located at the center of the concave ultrasonic array detector.

[0022] Step 3: Use a computer to trigger the OPO high-frequency laser to emit pulsed laser light;

[0023] Step 4: The pulsed laser is irradiated onto the surface of the traumatic biological tissue through an optical fiber. After the biological tissue absorbs the laser energy, it is converted into heat energy, causing transient temperature changes. The biological tissue further generates ultrasonic signals, i.e., photoacoustic signals, due to thermal expansion and local pressure changes.

[0024] Step 5: Use a concave ultrasonic transducer to receive photoacoustic signals at multiple locations around the traumatic biological tissue;

[0025] Step 6: The photoacoustic signal received by the concave ultrasonic transducer is then acquired by a multi-channel data acquisition card.

[0026] Step 7: Keep all experimental conditions unchanged, use a computer to trigger the pulsed laser at wavelengths of 840nm and 930nm, and repeat steps 4-7.

[0027] Step 8: Combine the collected photoacoustic data with LabVIEW software and a delay overlay algorithm to qualitatively determine whether the tissue has been traumatized.

[0028] Step 9: If the condition is traumatic, further combine the multispectral quantitative photoacoustic reconstruction algorithm to quantitatively determine the degree of trauma;

[0029] Step 10: Output the results.

[0030] The advantages and beneficial effects of this invention are as follows:

[0031] Existing technologies often have limitations in imaging diagnosis of on-site trauma detection. Compared to X-ray diagnosis, this invention allows for continuous and dynamic examination of the patient's condition without the risk of ionizing radiation damage; compared to functional magnetic resonance imaging (fMRI), this invention enables rapid imaging; compared to ultrasound imaging, this invention combines the high contrast of optical imaging with the high penetration of ultrasound imaging, enabling rapid detection and classification of on-site trauma victims; for near-infrared functional imaging, the photoacoustic images of this invention are clear and precise, allowing for accurate localization of the injury site and providing valuable "golden ten minutes" for subsequent treatment.

[0032] The photoacoustic imaging-based trauma scene diagnosis system of this invention integrates a delay superposition algorithm and a multispectral photoacoustic quantitative image reconstruction algorithm into an automatic trauma detection module. It simultaneously provides high-resolution real-time images of internal tissue structure, tissue perfusion, and tissue metabolic parameters. It can classify numerous trauma patients into different levels and carry out on-site medical emergency care and tiered evacuation in an orderly manner according to the severity of the trauma. It can serve as a novel imaging system for trauma scene diagnosis in earthquake rescue sites, construction site accidents, traffic accidents, military exercises, battlefields, etc.

[0033] The ingenuity of this invention lies in: (1) the combination of the omnidirectional robotic arm and the concave ultrasonic array detector makes the imaging operation convenient; (2) the LabVIEW software combined with the delay superposition algorithm can quickly determine in real time whether there is ischemia, hemorrhage, edema on the surface of the tissue and whether the internal structure will be displaced; (3) the trauma parameters are reconstructed by combining the multispectral quantitative photoacoustic reconstruction algorithm, which can qualitatively and quantitatively determine the degree of trauma in the state of trauma. Attached Figure Description

[0034] Figure 1 This is a schematic diagram of the structure of a preferred embodiment of the trauma scene diagnosis system applicable to photoacoustic imaging provided by the present invention;

[0035] Figure 2 This is a schematic diagram of the trauma analysis module according to an embodiment of the present invention;

[0036] Figure 3 This is a schematic flowchart of a trauma scene diagnosis method applicable to photoacoustic imaging according to an embodiment of the present invention. Detailed Implementation

[0037] The technical solutions of the embodiments of the present invention will be clearly and thoroughly described below with reference to the accompanying drawings. The described embodiments are merely some embodiments of the present invention.

[0038] The technical solution of the present invention to solve the above-mentioned technical problems is:

[0039] like Figure 1 As shown, the photoacoustic imaging-based trauma scene diagnosis system of the present invention includes an input module 3, a trauma detection module 4, a trauma assessment module 5, and a result output module 6; wherein the output end of the input module 3 is connected to the input end of the trauma detection module 4; the output end of the trauma detection module 4 is connected to the input end of the trauma assessment module 5; and the output end of the trauma assessment module 5 is connected to the input end of the result output module 6.

[0040] The input module 3 includes a computer 1, an OPO high-frequency laser 9, and an optical fiber 10. The computer 1 controls the OPO high-frequency laser 9 to emit pulsed laser light, which is transmitted through the optical fiber 10 to irradiate the biological tissue being tested, generating an ultrasonic signal, i.e., a photoacoustic signal.

[0041] Based on the above embodiments, the OPO high-frequency laser 9 can achieve rapid wavelength switching, with rapid (10ms) switching of three wavelengths of 760nm, 840nm and 930nm when the pulse frequency is 100Hz, that is, only the wavelength is changed while the other experimental conditions remain unchanged.

[0042] Based on the above embodiment, the optical fiber 10 is divided into ten parts and symmetrically fixed on both sides of the concave ultrasonic array detector 11 along the semi-circular direction to achieve photoacoustic coaxiality.

[0043] The trauma detection module 4 includes an acquisition module 7 and an image display module 8. By adjusting the omnidirectional robotic arm 12, the center of the handheld concave ultrasonic array detector 11 is vertically positioned on the biological tissue being tested, enabling the concave ultrasonic array detector 11 to quickly receive the photoacoustic signal caused by the excitation light emitted from the output of the input module 3. The concave ultrasonic array detector 11 is unidirectionally electrically connected to the multi-channel data acquisition card 13. The multi-channel data acquisition card 13 acquires the photoacoustic signal received by the concave ultrasonic transducer 11 and transmits the acquired photoacoustic information to the computer 2. The computer then combines the LabVIEW software 14 and the delay superposition algorithm 15 to display the image in real time.

[0044] Based on the above embodiments, the acquisition module includes a concave ultrasonic array detector 11, a omnidirectional robotic arm 12, and a multi-channel data acquisition card 13; the image display module includes a computer 2, LabVIEW software 14, and a delay overlay algorithm 15.

[0045] Based on the above embodiments, the concave ultrasonic array detector 11 has 256 chips; the multi-channel data acquisition card 13 has 256 channels.

[0046] Based on the above embodiments, the concave ultrasonic array detector 11 receives photoacoustic signals in cooperation with a semi-annular ultrasonic coupling pad. Embedding the semi-annular ultrasonic coupling pad between the tested biological tissue and the detector can eliminate the air between the probe and the tested biological tissue, so that the photoacoustic signal can be transmitted to the tested biological tissue with maximum coupling.

[0047] Based on the above embodiments, real-time image display can determine whether the tissue has surface and internal trauma.

[0048] Furthermore, the criteria for determining whether there is trauma are as follows: in the soft tissue imaging area shown, the delayed superposition algorithm is used to determine whether there is ischemia, hemorrhage, edema on the tissue surface and whether there will be tissue structural misalignment in the internal structure.

[0049] Furthermore, the principle of the delay superposition algorithm 15 is that different parts of the object to be imaged will generate photoacoustic signals with different time delays. When performing image inversion, the photoacoustic signals collected at each position are back-projected onto the circle centered on the probe for reconstruction, which can provide the structural and functional characteristics of the biological tissue.

[0050] The trauma assessment module 5 includes a multispectral quantitative photoacoustic reconstruction algorithm 16.

[0051] Based on the above embodiments, the output terminal of the trauma detection module 4 is unidirectionally electrically connected to the input terminal of the trauma assessment module 5, such as... Figure 2 As shown, if it is a traumatic condition, the hemodynamic abnormal parameters of the traumatic tissue can be calculated by further combining the multispectral photoacoustic quantitative reconstruction algorithm 16, which is a direct criterion for assessing the degree of damage.

[0052] Furthermore, the rule for determining the degree of trauma is as follows: in the ischemic area of ​​the tissue damage shown, the specific values ​​of oxygenated hemoglobin, deoxygenated hemoglobin, total hemoglobin, blood flow velocity, oxygen saturation, oxygen metabolism rate, and water content parameters calculated by the multispectral photoacoustic quantitative image reconstruction algorithm 16 are used.

[0053] Furthermore, the principle of the multispectral photoacoustic quantitative image reconstruction algorithm 16 is to clearly image the internal vascular system of the lesion site of the traumatic limb using three wavelengths (760nm, 840nm and 930nm). Then, it is substituted into the formula for the relationship between endogenous contrast agents to calculate oxygenated hemoglobin, deoxygenated hemoglobin, total hemoglobin, blood flow velocity, oxygen saturation, oxygen metabolism rate and water content. These indicators can all be used as direct criteria for early diagnosis of the degree of limb trauma.

[0054] The results output module 6 includes a computer 2, which can be used for real-time imaging in the image display module as well as for outputting the final results of whether there is trauma and the degree of trauma.

[0055] like Figure 3 As shown, the imaging method of the trauma scene diagnosis system based on photoacoustic imaging of the present invention includes the following steps:

[0056] Step 1: Turn on all devices and set the parameters for laser pulse and sampling card.

[0057] Step 2: Embed the semi-circular ultrasonic coupling pad between the biological tissue being tested and the detector, and move the omnidirectional robotic arm so that the traumatic biological tissue area is located at the exact center of the concave ultrasonic array detector.

[0058] Step 3: Use a computer to trigger the OPO high-frequency laser to emit pulsed laser light;

[0059] Step 4: The pulsed laser is irradiated onto the surface of the traumatic biological tissue through an optical fiber. The biological tissue absorbs the laser energy and converts it into heat energy, causing transient temperature changes. The biological tissue further generates ultrasonic signals (i.e., photoacoustic signals) due to local pressure changes caused by thermal expansion.

[0060] Step 5: Use a concave ultrasonic transducer to receive photoacoustic signals at multiple locations around the traumatic biological tissue.

[0061] The photoacoustic signal received by the concave ultrasonic transducer in step 6 is then acquired by a multi-channel data acquisition card.

[0062] Step 7: Keep all experimental conditions unchanged, use a computer to trigger the pulsed laser at wavelengths of 840nm and 930nm, and repeat steps 4-7.

[0063] Step 8 involves collecting photoacoustic data and using LabVIEW software and a delay overlay algorithm to qualitatively determine whether the tissue has been traumatized.

[0064] Step 9: If the condition is traumatic, further combine the multispectral quantitative photoacoustic reconstruction algorithm to quantitatively determine the degree of trauma.

[0065] Step 10 results output.

[0066] The systems, devices, modules, or units described in the above embodiments can be implemented by computer chips or entities, or by products with certain functions.

[0067] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0068] The above embodiments should be understood as illustrative only and not as limiting the scope of protection of the present invention. After reading the description of the present invention, those skilled in the art can make various alterations or modifications to the present invention, and these equivalent changes and modifications also fall within the scope defined by the claims of the present invention.

Claims

1. A trauma parameter detection system based on photoacoustic imaging, characterized in that, include: The system includes an input module, a trauma detection module, a trauma assessment module, and a result output module; the output terminal of the input module is connected to the input terminal of the trauma detection module. The output of the trauma detection module is connected to the input of the trauma assessment module; the output of the trauma assessment module is connected to the input of the result output module; wherein, The input module includes a computer, an OPO high-frequency laser, and an optical fiber. The computer controls the OPO high-frequency laser to emit pulsed laser light, which is transmitted through the optical fiber to irradiate the biological tissue being tested and generate an ultrasonic signal, i.e., a photoacoustic signal. The trauma detection module includes an acquisition module and an image display module. The acquisition module includes a concave ultrasonic array detector, a omnidirectional robotic arm, and a multi-channel data acquisition card. By adjusting the omnidirectional robotic arm, the center of the handheld concave ultrasonic array detector is placed vertically on the biological tissue being tested, enabling the concave ultrasonic array detector to quickly receive the photoacoustic signal caused by the excitation light emitted from the output end of the input module. The concave ultrasonic array detector is unidirectionally electrically connected to the acquisition card. The multi-channel data acquisition card acquires the photoacoustic signal received by the concave ultrasonic transducer and transmits the acquired photoacoustic information to the computer. The hardware of the image display module includes a computer; the software is based on LabVIEW for real-time image display; the algorithm includes a delay overlay algorithm; the computer is unidirectionally electrically connected to a multi-channel data acquisition card, which receives photoacoustic signals acquired by the acquisition card and combines them with LabVIEW software and the delay overlay algorithm to display images in real time. The trauma assessment module, if it is in the state of trauma, calculates the abnormal hemodynamic parameters of the trauma tissue by combining the multispectral photoacoustic quantitative reconstruction algorithm. The concave ultrasonic array detector receives photoacoustic signals in cooperation with a semi-circular ultrasonic coupling pad. Embedding the semi-circular ultrasonic coupling pad between the tested biological tissue and the detector can eliminate the air between the probe and the tested biological tissue, so that the photoacoustic signal can be transmitted to the tested biological tissue with maximum coupling. The real-time image display can determine whether the tissue has surface and internal trauma; the determination rule for whether there is trauma is as follows: in the soft tissue imaging area shown, the delay superposition algorithm is used to determine whether there is ischemia, hemorrhage, edema on the tissue surface and whether the internal structure will be displaced; the delay superposition algorithm works on the principle that different parts of the object to be imaged will generate photoacoustic signals with different time delays. When performing image inversion, the photoacoustic signals collected at each position are back-projected onto the circle centered on the probe for reconstruction, which can provide the internal structure and functional characteristics of biological tissue; The rule for determining the degree of trauma is as follows: in the area of ​​the tissue trauma shown, the specific values ​​of oxygenated hemoglobin, deoxygenated hemoglobin, total hemoglobin, blood flow velocity, oxygen saturation, oxygen metabolism rate and water content parameters calculated by the multispectral photoacoustic quantitative image reconstruction algorithm. The multispectral photoacoustic quantitative image reconstruction algorithm specifically involves: clearly imaging the internal vascular system of the lesion site of the traumatic limb using three wavelengths of 760 nm, 840 nm, and 930 nm, respectively; then substituting these wavelengths into the formula relating endogenous contrast agents to calculate oxygenated hemoglobin, deoxygenated hemoglobin, total hemoglobin, blood flow velocity, oxygen saturation, oxygen metabolism rate, and water content. These indicators can all serve as direct criteria for the early diagnosis of the severity of limb trauma.

2. The trauma parameter detection system based on photoacoustic imaging according to claim 1, characterized in that, The OPO high-frequency laser can achieve rapid wavelength switching, with rapid switching between three wavelengths of 760 nm, 840 nm and 930 nm when the pulse frequency is 100 Hz. That is, only the wavelength is changed while the other experimental conditions remain unchanged.

3. The trauma parameter detection system based on photoacoustic imaging according to claim 1, characterized in that, The optical fiber is split into ten and symmetrically fixed on both sides of the concave ultrasonic array detector along a semi-circular direction to achieve photoacoustic coaxiality.

4. The trauma parameter detection system based on photoacoustic imaging according to claim 1, characterized in that, The concave ultrasonic array detector has 256 chips; the multi-channel data acquisition card has 256 channels.

5. A method for detecting trauma parameters based on the system described in any one of claims 1-4, characterized in that, Includes the following steps: Step 1: Turn on all devices and set the parameters for laser pulse and sampling card; Step 2: Embed the semi-circular ultrasonic coupling pad between the biological tissue being tested and the detector, and move the omnidirectional robotic arm so that the traumatic biological tissue area is located at the center of the concave ultrasonic array detector. Step 3: Use a computer to trigger the OPO high-frequency laser to emit pulsed laser light; Step 4: The pulsed laser is irradiated onto the surface of the traumatic biological tissue through an optical fiber. After the biological tissue absorbs the laser energy, it is converted into heat energy, causing transient temperature changes. The biological tissue further generates ultrasonic signals, i.e., photoacoustic signals, due to thermal expansion and local pressure changes. Step 5: Use a concave ultrasonic transducer to receive photoacoustic signals at multiple locations around the traumatic biological tissue. Step 6: The photoacoustic signal received by the concave ultrasonic transducer is then acquired by a multi-channel data acquisition card. Step 7: Keep all experimental conditions unchanged, use a computer to trigger the pulsed laser at wavelengths of 840nm and 930nm, and repeat steps 4-7. Step 8: Combine the collected photoacoustic data with LabVIEW software and a delay overlay algorithm to qualitatively determine whether the tissue has been traumatized. Step 9: If the condition is traumatic, further combine the multispectral quantitative photoacoustic reconstruction algorithm to quantitatively determine the degree of trauma; Step 10: Output the results.

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