46 results about "Ct technology" patented technology

The present invention discloses a low-frequency large-span electromagnetic wave CT data correction method, which comprises the following steps: Step 1, obtaining the initial emission field strength, the ground surface absorption coefficient and the absorption coefficient in the borehole: using the initial emission field strength obtained in Step 1, the distance from the emission antenna in the borehole to the hole mouth, and the distance from the receiving antenna in the borehole to the hole mouth, to obtain the field strength propagating along the borehole and the field strength propagating along the borehole, and the field strength of the corrected low-frequency electromagnetic wave propagating in a straight line at the shortest distance in the medium. The correction method disclosed by the present invention solves the problem of poor inversion effect of the measured data of the low-frequency cross-hole electromagnetic wave CT, realizes the application of the low-frequency cross-hole electromagnetic wave CT technology in a large hole distance of 20-40 m, improves the detection efficiency and reduces the detection cost.

The invention discloses a soil moisture migration model optimization method considering a soil pore structure and water repellency, relates to the technical field of soil physicochemical properties, and solves the problem that the influence of the soil pore structure on water repellency soil moisture movement is not disclosed at present. Comprising the following steps: quantifying related indexes of a soil pore structure and water repellency, revealing a driving effect of the soil pore structure on the strength of the water repellency of the soil, and establishing and verifying a water movement model considering the water repellency of the soil. According to the method, the driving effect of the soil pore structure on the soil water repellency is researched by utilizing the micron-sized X-ray CT technology, indirect method evaluation in traditional research is improved to more accurate direct method research, a new angle is provided for water movement research of the water repellency soil, the method and the content are both substantially innovated, and the method is worthy of popularization and application. The method is of great significance in expanding the calculation method of the water-repellent soil moisture movement and improving the simulation precision of the water-repellent soil moisture movement.

The present invention belongs to the technical field of three-dimensional reconstruction modeling of the mesoscopic structure of materials, and particularly relates to a three-dimensional reconstruction modeling method for fiber-reinforced composite materials based on CT slice images, which comprises the following steps: 1) Using CT technology to obtain mesoscopic slice images of fiber-reinforced composite materials and convert them into grayscale images; 2) Binarizing the mesoscopic CT slice grayscale images of the composite materials; 3) Identifying the fiber bundle contours of the binarized material grayscale images; 4) Smoothing the fiber bundle contours of the material grayscale images; 5) Three-dimensional reconstruction of the mesoscopic structure of the fiber-reinforced composite materials. The present invention provides a method for three-dimensional reconstruction modeling at the mesoscopic scale, which greatly reduces the cost and error of manual three-dimensional reconstruction modeling, can accurately and efficiently quantify and characterize the changes in the morphology and size of the mesoscopic structure of materials, and has good engineering popularization prospects.

The application provides a product internal flow channel profile extraction method based on industrial CT. The method comprises: obtaining an industrial CT three-dimensional image of a product to be detected; slicing the industrial CT three-dimensional image to obtain a plurality of two-dimensional slices; obtaining a plurality of flow channel contours in the plurality of two-dimensional slices; splicing the plurality of flow channel contours to form a three-dimensional model; and extracting the flow channel profile based on the three-dimensional model. The method directly extracts the flow channel structure by using a segmentation technique in three-dimensional CT volume data, reconstructs the flow channel structure into a three-dimensional point cloud model, and thus intuitively and quickly analyzes parameters such as the wall thickness, size, shape and directionality of the flow channel. The method solves the problem that the existing industrial CT technology cannot directly evaluate the blockage, size and integrity of the flow channel through volume data.

The invention discloses a method for testing the concentration of chloride ions in reinforced concrete based on micron-sized X-CT and comsol finite element technologies. The method comprises the following steps: S1, preparing the reinforced concrete: treating reinforcing steel bars: selecting Q235 carbon round steel with the length of 20-30mm and the diameter of 5-8mm; and placing the reinforcing steel bar on a polishing machine, and polishing for 5-8 minutes by using SiC abrasive paper. According to the method, the micron-sized X-CT technology and the comsol finite element technology are combined, the limitation of a traditional testing method is overcome, the micron-sized X-CT technology provides a real image of the internal microstructure of the concrete, accurate basic data are provided for simulation analysis of comsol software, the testing result is closer to the actual situation, and the accuracy of chloride ion concentration testing is improved.

The invention provides an underground cavern group geological analysis method based on a TGS technology and a CT technology, and the method comprises the steps: scanning the geological conditions of an underground cavern group in the horizontal direction through the TGS technology, and obtaining first geological data in the horizontal direction; forecasting the geological conditions of the underground cavern group in the vertical direction through a CT technology to obtain second geological data in the vertical direction; fusing the first geological data and the second geological data to generate a three-dimensional geological model; based on the three-dimensional geologic model, identifying the position and the distribution range of unfavorable geologic bodies in the underground cavern group, and analyzing the geological characteristics of the surrounding rock to obtain an analysis result; according to the analysis result, the spatial distribution information of the unfavorable geologic body and the corresponding geological phenomenon description are output, the misjudgment risk caused by data discontinuity of a traditional method is overcome, and the recognition capacity for complex geological phenomena such as inclined strata and cross fractures is improved.

The present invention discloses a method for inversion of shockwave CT and rockburst early warning based on active and passive dual-source combined shockwave CT. The method comprises the following steps: 1. constructing a probabilistic non-uniform initial velocity distribution model of longitudinal and / or shear waves and an initial mesh model of a working face; 2. performing forward traveltime tomography to calculate the theoretical traveltime and residual of the theoretical longitudinal and / or shear waves; 3. solving the gradient of the objective function of the traveltime residual; 4. performing traveltime tomography inversion to iteratively adjust the velocity parameters of the source and longitudinal and / or shear waves of the shockwaves, so that the residual and RMS residual reach a stable state, and outputting the final source parameters and wave velocity; 5. testing the feasibility and accuracy of the inversion model through active CT numerical simulation, passive CT numerical simulation, and active and passive dual-source combined CT numerical simulation experiments. This method makes the inverted working face wave velocity distribution more accurate, thereby improving the efficiency and accuracy of the shockwave CT technology.

This invention belongs to the field of particulate materials technology and relates to a simulation method for the evolution of microscopic pore structure during the crushing process of porous and fragile particles. The method includes the following steps: sample preparation, high-resolution X-CT scanning, image processing to obtain the analysis volume, three-dimensional reconstruction to generate a three-dimensional rendering model, multi-scale simulation to establish the model, pore extraction, porosity analysis, pore connectivity analysis, connected porosity analysis, and pore structure parameter analysis. Based on X-CT technology and AVIZO software, using high-resolution tomographic data and combining the denoising, segmentation, and modeling functions of AVIZO software, the pore structure changes during particle crushing are accurately extracted. Through three-dimensional reconstruction and pore structure analysis of single particles at the microscale, and overall simulation of the crushing behavior of particle groups at the microscale, the evolution law of porosity and its key parameters is dynamically quantified, and a quantitative correlation model between the degree of crushing and porosity changes is established.

The invention belongs to the technical field of CT (Computed Tomography), and discloses an anti-backswing shielding curtain, which comprises a first curtain and a second curtain, the second curtain is formed by second curtain strips side by side; the first curtain and the second curtain are arranged in a laminated manner; the first resistance piece is fixedly arranged on the first curtain strip, and the second resistance piece is fixedly arranged on the second curtain strip; at least one first resistance piece is arranged on the first curtain strip, and the second resistance pieces and the first resistance pieces are arranged in a one-to-one correspondence mode and attract each other; security check articles pass through the shielding curtain from one side of the first curtain, and when the shielding curtain is suspended and is not subjected to external force, the fixing position of the first resistance piece is lower than that of the corresponding second resistance piece. The invention further discloses a CT security inspection machine comprising the anti-backswing shielding curtain. The technical problems that in an existing security inspection machine, the backswing amplitude of a shielding curtain is too large, and the internal space of the machine cannot be fully utilized are solved.

The application discloses a kind of based on CT scanning image's additive repair blade fatigue failure analysis method.Combining the way of CT technology and optical microscope is used to carry out defect test analysis and crack imaging to additive repair titanium alloy blade, establish the correlation law between the defect characteristics of titanium alloy blade additive repair area and fatigue performance.First, utilize high-resolution CT technology to carry out nondestructive testing to blade, carry out global defect reconstruction to the leading edge of additive repair titanium alloy blade, obtain the distribution characteristics of defect parameters by statistical analysis;Analysis of defect-related fatigue source and crack propagation behavior, combined with defect-dependent additive repair blade high-cycle fatigue life (limit) model, establish a kind of fatigue failure analysis method based on CT scanning image.Through the method, key defects can be accurately identified and its influence on blade service life is predicted, so as to provide scientific basis and theoretical guidance for repair and reuse of aero-engine blade.

The application is suitable for the field of vehicle-mounted CT technology, and provides an anti-collision protection structure for vehicle-mounted CT, which comprises a vehicle cabin, a CT machine and an anti-collision assembly slidingly arranged on the inner wall of the vehicle cabin; the inner wall of the vehicle cabin is symmetrically provided with guide sleeves on both sides of the CT machine; a lifting piece is slidingly arranged between the two guide sleeves; a first sliding rod is arranged on the side of the guide sleeve close to the bottom; the anti-collision assembly comprises a C-shaped protection plate, two side plates and a detection bed plate; the C-shaped protection plate is slidingly arranged on the lifting piece; the two side surfaces of the C-shaped protection plate are fixedly connected with arc-shaped sleeves; the two side plates are rotatably arranged on corresponding connecting shafts; the side plates are fixedly connected with arc-shaped rods; the arc-shaped rods are slidingly arranged in the arc-shaped sleeves; arc-shaped tension springs are arranged between the arc-shaped rods and the arc-shaped sleeves; and the detection bed plate is slidingly arranged on the surface of the C-shaped protection plate. The device is capable of storing and unfolding the anti-collision assembly, achieving anti-collision protection of the CT machine and saving the use space inside the vehicle cabin, thereby saving the maintenance cost.

The utility model discloses a CT / DR (Computed Tomography / Digital Radiography) two-in-one spectrum detection system applied to ore classification and identification. Comprising a containing box used for containing a detector, a movable platform used for containing ore and an X-ray light source. The detector and the X-ray light source respectively correspond to the ore on the movable platform; by combining the advantages of the CT technology and the DR technology, spectral information of the ore can be obtained more comprehensively; the X-ray light source is accurately positioned through the infrared laser set, it is ensured that the light path center of the X-ray light source can accurately irradiate the ore, and the measurement accuracy and stability are improved.

This invention discloses a weak signal processing method for electromagnetic wave CT, solving the problem that electromagnetic wave attenuation leads to signal submersion in strong environmental noise when electromagnetic wave CT technology is used for long-span measurements or measurements in strata with high absorption coefficients. This enables the application of electromagnetic wave CT technology with borehole spacing exceeding 40m in strata with high absorption coefficients, reducing the number of boreholes along geological exploration routes by more than half, significantly reducing drilling costs and improving geological exploration efficiency. This invention has been tested in several confidential experiments on multiple subway lines, achieving good results. The application of this invention will have significant implications for improving the efficiency of urban underground space development and geological exploration in complex environments, as well as controlling construction costs.

The present application relates to the technical field of medical devices, and in particular to a tibial extramedullary osteotomy positioning device and method. A tibial extramedullary osteotomy positioning device includes a leg frame and a positioning assembly, the positioning assembly includes a positioning frame, a mounting seat, a plurality of positioning plates and a plurality of developing needles, the plurality of positioning plates and the plurality of developing needles are arranged in a one-to-one correspondence, the positioning plate is fixedly arranged on the leg frame, the positioning plate is provided with a mounting hole for installing the corresponding developing needle, a mounting seat is provided on both sides of the leg frame, a mounting plate is provided between the two mounting seats, the mounting plate and the mounting seat are detachably connected, and a multi-directional adjustment assembly capable of adjusting the positioning frame at multiple angles is provided on the mounting plate; a tibial extramedullary osteotomy positioning method, by combining with CT technology, can measure the angle between the tibial shaft and the developing needle, and adjust the positioning frame to the appropriate angle through the multi-directional adjustment assembly to complete the positioning, and the present application has the effect of improving the accuracy of tibial fixation.

The invention discloses an application of nitric oxide synthase neurons in an island leaf cortex II layer in preparation of a medicine for treating osteoporosis, and systematically reveals a nerve stress induced bone metabolism imbalance mechanism by constructing a chronic heterologous pressure stress mouse model and combining an enzyme-linked immunosorbent assay and a high-resolution micro-CT (Computed Tomography) technology; the method comprises the following steps: accurately positioning specific nerve connection between nNOS neurons of an island leaf cortex II layer and bone tissues for the first time by adopting a reverse cross-polysynaptic virus tracing technology, and determining that the region is a key central target point regulated and controlled by a brain-bone axis; the activity of target neurons is specifically intervened through a chemical genetics technology, it is proved that activation can induce the phenotype of osteoporosis, and pathologic indexes are remarkably improved through inhibition.

The invention provides an efficient mu-CT image resolution enhancement and deblurring method and system, and relates to the technical field of image processing.The method comprises the steps that firstly, an original high-resolution image is collected and processed through a multi-mode degradation method to generate a low-resolution image so as to construct a training set; and meanwhile, the unsaturated Taihua sand is imaged by adopting a phase contrast mu-CT technology and the like to obtain a test set. A network model containing three generators, a feature extractor and a discriminator is built, a loss function is determined according to a balance loss method, and the generators are optimized; then, a generative adversarial network model is obtained through a low-resolution image training model, the performance of the generative adversarial network model is adjusted by means of hyper-parameters, and a super-resolution image is obtained by predicting a test set through the model. And finally comparing image indexes to evaluate the generalization ability of the model so as to decide whether to continue training. Compared with a traditional method, the method has better performance on various image indexes, can effectively improve the quality of the porous medium mu-CT image, and has important application value in multiple fields of oil and gas exploitation, geological exploration and the like.

The application relates to the field of precision detection technology and discloses a machine tool key component detection method based on industrial CT, which comprises the following steps: CT scanning of a machine tool key component to be detected to obtain CT image data; generating a three-dimensional model of the key component based on the CT image data; and defect segmentation of the three-dimensional model by using a deep learning segmentation network, wherein the deep learning segmentation network adopts an encoding-decoding structure, a channel attention unit is introduced in an encoder, a spatial attention unit is introduced in a skip connection, and internal defects are identified; the application realizes nondestructive testing of machine tool key components by using the industrial CT technology, the key components do not need to be disassembled, a deep learning segmentation network is used and a double-attention mechanism is introduced, the identification capability of small-size defects is significantly improved, accurate positioning and classification of defects are realized, and the high-precision detection requirement of machine tool key components is met.

According to the image reconstruction method and system based on self-supervised noise reduction of the photon counting detector, the medium, the program product and the terminal provided by the invention, by constructing the noise propagation model of the photon counting CT technology in the material decomposition process, the counting noise prediction precision of the detector is improved based on the neural network; and then a self-supervised noise reduction result is optimized by using the noise propagation model, and the problem of insufficient photon counting CT training data at present is solved. According to the method, a complex modeling process and a time-consuming calculation process are not needed, response laws of different photon counting detectors can be accurately fitted only through a small amount of data, the problem of noise amplification in the material decomposition and image reconstruction process of the PCCT technology is solved, and the image quality and the processing efficiency are greatly improved. The noise reduction method based on deep learning shows extremely high practical value in the field of clinical application, is expected to provide more reliable and high-quality technical support for related work such as medical diagnosis, and promotes further development of clinical practice.

The present invention discloses a SPECT / CT image fusion method and system based on deep learning, including: acquiring images respectively through SPECT technology and CT technology; constructing a multi-modal deep learning feature extraction network to extract features of SPECT and CT images respectively; generating a fusion strategy for the extracted features; and fusing SPECT and CT according to the fusion strategy. By constructing a multi-modal feature extraction network through deep learning, precise fusion of SPECT and CT images is achieved, fully retaining the functional information of SPECT and the anatomical details of CT, improving the clarity and contrast of the images, enhancing the detection ability for abnormal regions, significantly improving the diagnostic accuracy, and providing more comprehensive support for clinical decision-making.

A pig leather, cow leather or sheep leather identification method based on Micro-CT technology relates to the technical field of leather identification, and comprises the following steps: (1) carrying out Micro-CT scanning on a leather sample to obtain a three-dimensional image of the leather sample; (2) performing virtual slicing on the three-dimensional image by using analysis software to obtain a longitudinal section image of the internal structure of the leather sample; (3) observing the condition that the hair follicles penetrate through the leather body in the longitudinal section image, and measuring the inclined included angle between the hair follicles and the grain surface; (4) if the hair follicles penetrate through the leather body, judging that the leather is pig leather; if the hair follicles do not penetrate through the leather body and the inclined included angle is 23-30 degrees, judging that the leather is cattle leather; and if the hair follicles do not penetrate through the leather body and the inclined included angle is 13-20 degrees, determining that the leather is sheep leather. According to the method, the internal three-dimensional structure of the leather can be deeply detected without slicing treatment, and high-efficiency nondestructive identification of pig leather, cow leather or sheep leather is realized.

The utility model relates to the technical field of medical products, and discloses an electrode wire and a stimulation system. The stimulation section of the electrode wire is provided with a developing identification assembly, the developing identification assembly is provided with a first identification part and a second identification part which are connected with each other in the axial direction of the electrode wire, and the first identification part is provided with at least one through identification hole. The angle of the development identification assembly can be identified in the X-ray development image of the development identification assembly through the identification hole; the second identification part comprises two arc-shaped display sheets extending in the axial direction of the electrode wire, the two display sheets are arranged at intervals in the circumferential direction, a first notch is formed between the ends, close to each other, of the two display sheets in the circumferential direction, and a second notch is formed between the ends, away from each other, of the two display sheets in the circumferential direction. The first gap is smaller than the second gap. Through the X-ray imaging technology and the CT technology, the orientation information of the electrode plate can be obtained through naked eyes, and the operation convenience is improved.

The present application relates to the technical field of high-performance cement-based material preparation and process control, and particularly relates to a self-compacting ultra-high performance concrete performance optimization method based on rheological parameter regulation. The steps are as follows: steel fibers are added to self-compacting ultra-high performance concrete slurry with rheological parameters in a set range to prepare test pieces, X-ray CT technology is used to perform three-dimensional reconstruction on the test pieces after curing, steel fiber distribution parameters are extracted, and crack propagation morphology and strain field distribution data are collected; an interface homogeneity index related to the steel fiber distribution parameters, crack propagation morphology and strain field distribution data is constructed, and X-ray CT technology is used to perform interface densification analysis; a function mapping relationship between the rheological parameters and the interface microstructure is constructed to determine the value range of the optimal yield stress and plastic viscosity. The above method is used to realize performance optimization in the self-compacting ultra-high performance concrete preparation stage.

The invention provides a method and device for determining the dependent variable of a loaded coal rock test piece and electronic equipment, and the method comprises the steps: obtaining a coal rock test piece, a first scanning image of the coal rock test piece in an unloaded state, and a plurality of second scanning images of the coal rock test piece in a continuous load state, thereby obtaining a dependent variable of the coal rock test piece for any second scanning image; according to the second scanning image and the first scanning image, determining the accurate displacement of each voxel in the second scanning image, and then according to the accurate displacement of each voxel in the second scanning image and the position of each voxel in the second scanning image in the first scanning image, determining the accurate displacement of each voxel in the second scanning image; and determining the dependent variable of the corresponding point of the coal rock test piece in the load state corresponding to the second scanning image. Therefore, the CT technology and the DVC technology can be combined to determine the dependent variable of any point of the loaded coal rock test piece in the corresponding load state, and the accuracy and reliability of dependent variable determination are effectively improved.

This invention relates to the field of computed tomography (CT) technology, and particularly to a cone-beam CT device and method based on a distributed multifocal X-ray source. The device includes: at least one distributed multifocal X-ray source for generating a first X-ray signal; at least one X-ray detector for receiving a second X-ray signal remaining after the first X-ray signal passes through the object to be scanned; an electromechanical control module for controlling the at least one distributed multifocal X-ray source and the at least one X-ray detector to execute a preset CT scan mode; a data acquisition module for acquiring and transmitting the second X-ray signal; and a data processing and display module for reconstructing the second X-ray signal using analytical reconstruction or iterative reconstruction methods to generate a three-dimensional image. This solves the problems of cone-beam artifacts and lateral scan truncation that existing CT technologies cannot simultaneously address, and enables dynamic adjustment of the scanning field of view in a task-driven CT system.

The application discloses a method for evaluating the skeleton structure of asphalt mineral mixture based on the accumulation theory and belongs to the technical field of highway analysis and evaluation. In order to solve the problems that the evaluation method for the structure composition of the asphalt mineral mixture lacks the consideration of the contact stress and the contact type between coarse aggregate and fine aggregate, and lacks the intuitive representation and accurate description of the skeleton structure of the asphalt mineral mixture, the application first obtains the real gradation of the mineral mixture; then generates a virtual accumulation model of the mineral mixture by using a discrete element software based on the accumulation theory and carries out a uniaxial constraint compression test simulation; meanwhile, the solid is selected to verify the real model, and the internal structure difference between the real model and the virtual model is clarified by using the X-ray CT technology; finally, the probability density distribution diagram of the contact stress of the mineral mixture and the contribution diagram of the contact type to the external load are constructed by the model test to evaluate the skeleton structure type of the mineral mixture.

This utility model belongs to the field of CT technology and discloses a rotor system for CT equipment and a CT equipment. The rotor system for CT equipment includes a main body, a mounting frame, and a radiation source assembly. The main body is used for fixed connection with the bearing rotor of the CT equipment and has an installation space within it. The mounting frame is disposed on the main body and has multiple mounting positions for mounting detectors capable of receiving X-rays. The radiation source assembly is disposed on the main body and is positioned opposite the mounting frame to generate X-rays that irradiate the detector. Therefore, when this rotor system for CT equipment is used, it not only improves the installation position accuracy of the detector, enabling the detector to receive X-ray signals with high quality, but also effectively improves detection accuracy when used in a CT equipment. Furthermore, the main body does not require high-level precision machining, and the mounting frame can be manufactured using conventional machining designs, thereby effectively reducing manufacturing difficulty.

The invention relates to a method for evaluating shale organic pore connectivity. The method comprises the following steps: (1) acquiring a three-dimensional connectivity evaluation parameter C organic matter of organic matters in a shale sample by utilizing a micron CT technology; (2) acquiring a three-dimensional connectivity evaluation parameter C organic pore of the organic pore in the shale sample by utilizing an FIB-SEM technology; and (3) calculating the shale organic hole three-dimensional connectivity parameter C shale organic hole = C organic matter * C organic hole to evaluate the shale organic hole connectivity. Compared with the prior art, the method has the advantages that the micron CT technology and the FIB-SEM technology are combined, the large-scale organic matter connectivity is firstly started, the three-dimensional connectivity of the organic holes in the organic matter is analyzed, and the three-dimensional connectivity of the shale organic holes is objectively and representatively evaluated from the large scale to the small scale. The method provides an effective technical means for evaluating the three-dimensional connectivity of the organic holes of the shale, and is of great significance in improving the effect of shale gas exploration and development.

The application discloses a microcosmic residual oil type conversion quantitative analysis method based on CT technology. The method comprises the following steps: collecting a core sample of a to-be-detected area, simulating a displacement process of the core sample, and collecting two-dimensional CT scanning images corresponding to the core sample under at least two different displacement states in the displacement process; for the two-dimensional CT scanning images under each displacement state, an oil phase three-dimensional model under the displacement state is obtained by recombination respectively; according to a three-dimensional shape factor G of a residual oil cluster in the oil phase three-dimensional model and an Euler number E of a pore space N , a microcosmic occurrence type of the residual oil cluster is divided; according to a conversion relationship of the residual oil cluster, a microcosmic residual oil type conversion three-dimensional model is obtained. The microcosmic residual oil type conversion three-dimensional model is applied to calculate a residual oil cluster conversion rate and an actual production proportion. The application is more accurate in residual oil type division and quantitative analysis, and is beneficial to improve the production degree of microcosmic residual oil.

The invention discloses a ceramic microcrack repairing method, and belongs to the technical field of ceramic material repairing. The method comprises a detection process, a multi-mode imager combined infrared thermal imaging technology, industrial CT and ultrasonic phased array detection ceramic piece, microcrack feature extraction, a laser processing process, a micro-hole processing process by adopting a Q-switched fiber laser, a coating process, and a micro-injection technology filling brazing filler metal into the micro-hole. And a pulse pressure gauge is adopted to compact the brazing filler metal. According to the method, the three-dimensional space characteristics of the microcracks can be accurately extracted by arranging the multi-mode imager and combining the infrared thermal imaging technology, the industrial CT technology, the ultrasonic phased array technology and the focused ion beam imaging technology, the depth extraction error is small, the problems that in the prior art, microcrack parameter extraction is incomplete, and the error is large are solved, and based on the accurate data, the accuracy of microcrack parameter extraction is improved. Laser processing parameters can be dynamically matched with the sizes of the micro-cracks, and stress concentration can be effectively avoided through the processed arc-shaped bottom blunt holes.

The invention discloses a lossless quantitative detection method for the meat producing potential of living oysters, and the method belongs to the technical field of aquatic product quality detection, and the method comprises the following steps: obtaining cross-sectional image data of the living oysters, constructing 3D images of the oysters, calculating the volumes of shells and shell cavities of the living oysters, calculating shell cavity coefficients, and grading the meat producing potential of the living oysters. According to the method, by means of the micro-CT technology, X-rays are emitted to conduct multi-angle scanning on living oysters, a high-resolution three-dimensional image in the oysters is rebuilt through a computer algorithm, fine structures inside and outside oyster shells are clearly presented, and accurate measurement of the inner cavities and the sizes of the shells of the oysters is achieved. Furthermore, a shell cavity coefficient is used as a quantitative evaluation index of the meat potential of the living oysters, so that accurate, rapid and nondestructive evaluation of the meat potential of the living oysters is realized.