227 results about "Ct imaging" patented technology

The invention discloses a urinary calculus CT image automatic segmentation method based on deep learning, particularly relates to the technical field of medical image processing, and is used for solving the problem of low geometric fidelity of a segmentation result caused by hardening artifacts when an existing deep learning segmentation method is used for processing a high-density urinary calculus CT image. The method comprises the following steps: acquiring a urinary calculus CT image, performing initial segmentation by using a deep learning model to generate an initial calculus segmentation region, evaluating texture heterogeneity degree and identifying a hardening artifact risk region by analyzing feature value distribution of a structure tensor field, and positioning an artifact-causing source point based on a CT imaging projection geometric principle by reversely tracing a spatial position relation. According to the method, boundary distortion features are identified by analyzing CT value profile curve form distortion features and local boundary curvature singularity features, geometric correction is performed on corresponding boundaries in an initial stone segmentation region according to the boundary distortion features, a final stone segmentation region is obtained, and the geometric accuracy and reliability of a segmentation result are effectively improved.

The invention provides an SPECT pinhole collimator imaging truncation artifact filling method and related equipment, and relates to the technical field of CT imaging. The method comprises the following steps: reconstructing real projection data to obtain an original reconstructed image, and determining a high-confidence region in the original reconstructed image; mapping the real projection data to a projection image of an ideal detector radial distance to obtain mapping projection data; predicting projection data outside an effective area of a real acquisition detector and taking the projection data as simulation projection data; carrying out weighted reconstruction on the simulation projection data to obtain a complemented image containing a truncation region; and according to the high-confidence region, fusing the original reconstructed image and the complemented image to obtain a final image. The method aims at solving the problem of truncation artifacts caused by the fact that the probe cannot completely cover the whole human body projection image, negative effects caused by the truncation artifacts can be made up, and the effect of improving the imaging quality and the diagnosis accuracy is achieved.

The invention relates to a scatter correction method, a cone beam computed tomography (CBCT) system and a computer storage medium. The method comprises the following steps: performing cone beam CT imaging on a to-be-measured object to obtain a first group of projection data of the to-be-measured object, and performing reconstruction according to the first group of projection data to obtain a first volume image containing scattering artifacts; performing fan-beam CT imaging on a plurality of different heights of the to-be-measured object to obtain a plurality of groups of fan-beam projection data of the to-be-measured object, performing reconstruction according to the plurality of groups of fan-beam projection data to obtain a plurality of fan-beam slice images, and using the plurality of fan-beam slice images as reference images without scattering artifacts; extracting a plurality of cone beam slice images from the first volume image; performing image registration on the plurality of fan-beam slice images and the plurality of cone-beam slice images; and training a scattering correction model based on deep learning by using the plurality of registered image pairs to obtain a trained scattering correction model.

A method for improving negative correlation noise (anti-correlation noise) artifact reduction in spectral CT imaging includes detecting photon detector counts below a certain threshold (low count readings) and then determining a reliability indicator for each sinogram voxel with a set of detected low count readings. Those readings in the sinogram that are below threshold reliability are operated with smoothing operators. This is based on a pre-calculated probability distribution of different possible sets of probe count readings that is based on a theoretical probability of each combination of the read counts of a hypothetical attenuation distribution for a given scan volume.

A method for motion estimation in CT systems is provided. The method includes dividing projection data, obtained by scanning a heart using the CT system, into a plurality of partial-angle-reconstruction (PAR) bins, reconstructing a plurality of PAR volumes from the PAR-binned projection data, obtaining, based on the plurality of reconstructed PAR volumes, a number of short-scan volumes, determining, based on the obtained number of short-scan volumes, a plurality of nodes throughout the heart, estimating, for each of the determined plurality of nodes, a plurality of model parameters of a motion model, and generating, based on the plurality of model parameters estimated for each of the plurality of nodes, parameters of a global motion model at each voxel of a volume of the heart. The method also includes reconstructing, based on the generated motion parameters of the global motion model at each voxel of the volume of the heart, a motion-compensated short-scan volume.

The utility model belongs to the technical field of CT machine main bearing damping, and particularly relates to a high-speed CT machine main bearing damping device which comprises a limiting block. Connecting blocks are fixedly connected between the multiple limiting blocks. Inner rings of double-row angle bearings are fixedly connected to the side walls of the multiple connecting blocks. A connecting rod is slidably connected into the limiting block. The ends of the two connecting rods are fixedly connected with fixing blocks, and the other ends of the two connecting rods are fixedly connected with centrifugal blocks. A fixed convex block is fixedly connected to the side wall of the centrifugal block; clamping wheels are fixedly connected between the corresponding fixing protruding blocks, and the multiple clamping wheels are arranged corresponding to the size of the double-row angle bearing. According to the utility model, the plurality of clamping wheels are arranged to extrude the inner ring of the double-row angle bearing which rotates at a high speed, so that the inner ring and the outer ring of the double-row angle bearing are tightly attached, the vibration condition caused by a raceway structure error and a ball size error is further reduced, the negative influence of bearing vibration on CT imaging is favorably relieved, and the imaging quality of a CT machine is improved.

The invention discloses a deep mining and storage space rock mass damage evolution and long-term stability prediction system and method, and the system is characterized in that a long-term monitoring module comprises an embedded fiber grating strain sensor array, a resistivity CT imaging unit, a chamber convergence laser range finder and a rock sound wave testing unit, and is used for collecting multi-source monitoring data; the data preprocessing module is used for preprocessing the multi-source monitoring data; the aging analysis module is used for predicting the remaining service life based on the multi-source monitoring data; and the operation and maintenance decision module is used for generating a maintenance strategy and risk prompt based on the residual service life prediction result. The method comprises the following steps: arranging the long-acting monitoring module on site; collecting multi-source monitoring data; de-noising the multi-source monitoring data, and extracting a long-term trend term and a short-term fluctuation term; predicting the remaining service life; and performing stability grading and operation and maintenance decision according to the remaining service time. The system and the method can efficiently and accurately realize quantitative evaluation of the long-term stability of the rock mass.

The application discloses a CT image iterative reconstruction method and system based on maximum residual extension projection. The application collects CT original projection data, constructs a linear equation group model, disassembles a reconstruction sub-problem, iteratively selects a work row and column with the maximum residual after initialization of parameters, adopts a phased differentiated extension projection strategy combined with an adaptive step length update solution vector, terminates iteration in combination with multiple convergence criteria, and finally reorganizes a reconstructed image. Meanwhile, optimization strategies such as projection data extension, extended power divergence optimization, multi-domain network constraint and residual prior regularization are configured to adapt to complex working conditions such as truncation, noise, sparsity and limited angle. The application also builds a modular closed-loop reconstruction system to realize full-process automatic operation. The application can accurately correct reconstruction errors, accelerate the iterative convergence speed, effectively suppress various types of artifacts, improve imaging accuracy and robustness, does not require a large amount of training data, is suitable for multiple CT imaging scenes, and has high engineering promotion value.

The invention relates to the technical field of radiotherapy auxiliary instruments, in particular to an injectable calcium sodium alginate hydrogel spacer for radiotherapy and a preparation method of the injectable calcium sodium alginate hydrogel spacer. Nano calcium carbonate is used as an adjusting switch, an adjustable mechanical and degradation performance foundation of the hydrogel is laid, and the material is endowed with unique bifunctional characteristics through the synergistic effect of the nano calcium carbonate, a contrast agent iodized oil and a degradation liquid diethylenetriamine pentaacetic acid. The hydrogel can quickly form gel after being injected, keeps long-term structural stability and clear CT imaging capability in vivo, and can monitor the position and form of the hydrogel in a lossless manner; and when the radiotherapy period is finished, the on-demand and rapid degradation of the hydrogel can be realized only by injecting the diethylenetriamine pentaacetic acid, so that the risk of long-term retention is avoided. In-vitro and in-vivo experiments prove that the material has good biocompatibility, can significantly reduce the radiation dose of normal tissues such as rectum and the like, realizes the technical span from invisibility and difficult degradation to visibility and degradability, and has great clinical transformation value.

The invention relates to the technical field of battery detection, and discloses a battery detection method and system based on CT imaging and multi-physical field simulation, and the method comprises the steps: obtaining the X-ray tomography data of a to-be-detected lithium ion battery in an initial state, building a battery three-dimensional geometric model based on the tomography data and supplementary tomography data, the method comprises the following steps: acquiring dynamic image data of ultrasonic scanning of a to-be-tested lithium ion battery under a charge-discharge cycle or abuse test, constructing a COMSOL multi-physics field coupling simulation model based on a three-dimensional geometric model and change characteristics of the battery, solving the COMSOL multi-physics field coupling simulation model, determining lithium ion concentration distribution, net current density and strain distribution, and calculating the concentration of the to-be-tested lithium ion battery according to the concentration distribution, net current density and strain distribution of the to-be-tested lithium ion battery. A lithium ion concentration distribution diagram, a voltage-time relation diagram and a stress field cloud diagram are constructed, whether the lithium ion battery to be detected has defects or not is determined based on the lithium ion concentration distribution diagram, the voltage-time relation diagram and the stress field cloud diagram, and the reliability of battery detection is ensured.

The invention discloses a top coal fracture fractal analysis method based on CT imaging, and belongs to the field of fracture fractal detection.The method comprises the following steps that a three-dimensional digital model containing fracture information is obtained through three-dimensional reconstruction based on CT scanning data of a top coal sample; an image processing method is adopted to process the three-dimensional digital model, a fracture network is extracted, and topological parameters are calculated; processing the fracture network by adopting a fractal analysis method, and calculating to obtain global fractal dimension and local dimension statistical characteristics; statistical features of the topological parameters, the global fractal dimensions and the local dimensions are fused to form a multi-scale feature vector; and based on the multi-scale feature vector, processing through a machine learning model to obtain a top coal fracture classification result. According to the method, the limitation that a traditional method depends on a single index and is high in subjectivity is overcome, and objective and accurate recognition of the top coal fracture development grade is achieved.

To support arrangement of a support tool for a subject in CT imaging in a standing position and / or a sitting position.SOLUTION: An X-ray CT apparatus includes an X-ray tube, an X-ray detector, a scanner, a stand, an acquisition unit, a generation unit, and a display control unit. The X-ray tube irradiates a subject with X-rays. The X-ray detector is configured to detect the X-rays that have passed through the patient. The scanner houses an X-ray tube and an X-ray detector, and has an opening into which a subject in a standing or sitting posture is inserted. The processing circuitry acquires external shape information representing an external shape of a subject and first identification information for identifying an imaging region of the subject. The processing circuitry is configured to generate supporting information indicating at least one selected from between a type and an arrangement of a support member for the subject, on the basis of the external shape information, the first identification information, and the space capable of being imaged by the scanner. The display controller displays the support information.SELECTED DRAWING: Figure 7

The application discloses a kind of second generation nickel-based single crystal superalloy recrystallization defect simulation and control method.The method steps are: according to sample preparation wax mold, after sand blasting, dry baking, manufacture ceramic shell;Through directional solidification preparation second generation nickel-based single crystal superalloy sample, control pulling speed, holding temperature and temperature gradient and other parameters;According to service condition preparation sample, simulate stress loading, in combination with heat treatment simulate actual service environment;Using electron backscattering diffraction and X-CT imaging, characterize recrystallization grain orientation distribution, three-dimensional morphology, content and thickness.Process parameter-defect characteristic mapping relationship is established, the stress distribution characteristics during preparation are clarified, the ceramic shell and preparation process are feedback controlled, and the control of recrystallization defects is realized.The application simulates the actual service environment of high-temperature alloy blade, and restores the performance of recrystallization defect sample in actual service environment.The application provides an experimental reproduction method and effective process control strategy for recrystallization defect research.

An application for the EGT-AuNPs in preparing contrast agents and / or antioxidants is provided, where the EGT-AuNPs include gold nanoparticles (AuNPs), the AuNPs are connected to L-ergothioneine (EGT) by gold-sulfur bonds, and the antioxidants include medicines for preventing and / or treating acute kidney injury (AKI). EGT-AuNPs with antioxidant activity are designed and synthesized through the combination of the higher imaging contrast of gold and the antioxidant natural product EGT, and they are ultra-small AuNPs, which achieve the combination of CT imaging and antioxidant effects, and are suitable for renal imaging, particularly for the early diagnosis and treatment of AKI, realizing the integration of diagnosis and treatment, circumventing the toxicity of contrast agents present in the conventional nanomaterials, lowering the serum creatinine and urea nitrogen levels, and reducing the degree of renal tubular damage.

The application discloses a kind of simultaneously sparse angle CT reconstruction and metal artifact high-precision correction method, belong to medical imaging field, specifically: simulate the projection data under the influence of beam hardening under sparse angle sampling, obtain sparse sampling and the sinogram of containing metal trace;Interpolation processing is carried out to sparse sinogram, and the sinogram is obtained as the initial sinogram of sinogram domain;According to the additive property of artifact, preliminarily decompose the CT image containing a large number of artifacts, obtain the initial estimated image of image domain and the initial artifact image of artifact domain;A multi-domain optimization model is established, and the constructed multi-domain optimization problem is alternately iterated minimization solution;Iterative update is carried out to sinogram domain, image domain and artifact domain respectively;The high-precision CT image of reconstruction is output.The application can simulate the sinogram containing metal trace and sparse obtained by CT imaging equipment to carry out simultaneously sparse angle CT reconstruction and metal artifact correction, and the reconstruction effect is good and correction precision is high.

The application belongs to the technical field of material preparation, and relates to a bimodal functional imaging nanomaterial and a preparation method and application thereof. 1‑x Fe x Se2, wherein 0 < x < 1. The preparation method of the bimodal functional imaging nanomaterial comprises the following steps: stirring ferrous sulfate and cysteine in a solvent until uniform, then fully stirring bismuth salt, then adding sodium selenite to perform a heating reaction to obtain a bismuth iron selenium nanocomposite. The bismuth iron selenium nanocomposite provided by the application is uniform in size, regular in morphology, has good water phase dispersibility, and has the performance of simultaneously enhancing MRI imaging and CT imaging.

The invention relates to the technical field of poultry determination, and provides a vertebra body size character determination method and device.The method comprises the steps that a three-dimensional CT image of poultry is obtained, and the three-dimensional CT image is segmented into a plurality of two-dimensional cross section images along the Z axis; wherein each two-dimensional cross section image is divided into a corresponding Z-axis index number; for each two-dimensional cross section image, obtaining a target two-dimensional cross section image marked with a target vertebra detection frame by using a target vertebra detection model; and determining the body size character of a target vertebra according to the target vertebra detection frame and the Z-axis index number of the target two-dimensional cross section image. According to the method, through combination of three-dimensional CT imaging layering processing and the Z-axis index number, accurate association between the two-dimensional image and the three-dimensional space position is established, and through combination of accurate positioning of the target vertebra detection model, the accuracy of vertebra body size character measurement of a lossless living body is improved.

The invention relates to high resolution PET-CT imaging using PCCT and an advanced generative model. Systems and methods for generating a high resolution photon counting CT (PCCT) and PET image using a pair of high resolution PET images from the same patient. A machine learning network is trained on pairs of images from a patient. When the trained model is applied, new patient's PET and PCCT images may be used to generate high resolution PET images for medical diagnosis or further processing.

This invention provides a cathode-unitized X-ray source, a static CT imaging system, and an image enhancement method, comprising: a vacuum tube; a cathode end for emitting electron beams, the cathode end including an exposure control module and multiple electron emission units arranged in a matrix on the same side of the exposure control module, all electron emission units being independent and electrically connected to the exposure control module; an anode target bombarded by the electron beam, the anode target including an anode body and a target surface formed on the anode body, the target surface being located on the emission path of the electron emission units; when the exposure control module receives an external control signal, it establishes a voltage line between the selected electron emission unit and the exposure control module, the electron emission units emitting electrons one by one or row by row toward the target surface, and the target surface reflecting X-rays to a window under the bombardment of electrons. This invention can increase the scanning range, improve the image quality of static CT, and extend the lifespan of the X-ray source.

The object of the present invention is to provide an industrial X-ray CT control method and an industrial X-ray CT control device that can effectively perform imaging according to the size of large specimens. [Solution] The present invention provides an industrial X-ray CT control method for which a specimen is placed on a rotary table and the rotary table is rotated to perform X-ray CT imaging, characterized in that a first irradiation is performed such that the X-ray irradiation axis passes over the central axis of the rotary table and includes a range parallel to the detection surface of the X-ray detection device at a first distance from the central axis, and a second irradiation is performed such that the X-ray source and the X-ray detection device are slid in a direction parallel to the detection surface and X-ray CT imaging is performed such that a range parallel to the detection surface of the X-ray detection device is greater than or equal to a first distance from the central axis and less than or equal to the radius of the rotary table.

The invention discloses an automatic feeding and discharging X-ray DR / CT detection device for a carbon-carbon composite material. The automatic feeding and discharging X-ray DR / CT detection device comprises an X-ray tube lifting and moving mechanism, a detector lifting and moving mechanism, a high-precision rotary table moving mechanism, a feeding assembly line, a discharging assembly line, a reversing mechanism, a rotary moving detection assembly line and a workpiece tool tray. The feeding assembly line conveys assembly line workpiece tool trays to the rotary movement detection assembly line, the rotary movement detection assembly line moves to a detection position to conduct DR detection on workpieces, CT imaging detection is conducted in situ after defects are found, the double-station detection technology combining the automatic assembly line feeding and discharging technology and the DR / CT detection technology is adopted, large workpieces can be detected, and the detection efficiency is improved. Compared with traditional CT detection, the device is faster and more convenient, achieves the purpose of automatically completing detection through one-time feeding, reduces frequent feeding and discharging of operators, greatly reduces the labor intensity, reduces the number of times that the operators go in and out of a detection room, saves time, greatly improves the detection efficiency, and is suitable for wide popularization.

The application relates to a subject vertical positioning method, a subject vertical positioning device and a CT system. The method comprises the following steps: acquiring the position of an examination bed after the subject is positioned; determining a measurement range corresponding to the organ of the subject on the examination bed, the measurement range comprising a starting point and an ending point in the horizontal direction; during the movement of the examination bed towards a scanning frame, starting the measurement of the distance from the subject by a sensor attached to the scanning frame when the starting point reaches a measurement position of the sensor, and stopping the measurement when the ending point reaches the measurement position, and acquiring the height of the examination bed while the sensor is measuring; calculating the organ center height based on the measurement result of the sensor, the height of the sensor and the height of the examination bed, the height representing the average height of the organ in the vertical direction; and adjusting the height of the examination bed based on the organ center height, so that the adjusted organ center height is equal to the isocenter height of the scanning frame, so as to realize the effects of minimizing the radiation dose of the subject and improving the CT imaging quality.

This invention discloses a negative pressure structure for a CT positioning head clamp, comprising: a base, a forehead retainer pad on the top of the base, negative pressure mechanisms on both sides of the base, and a swing arm rotatably mounted on the top of each negative pressure mechanism. Each negative pressure mechanism includes a mounting assembly, which is fixedly mounted on one side of the base. A telescopic assembly is movably fitted inside the mounting assembly and engages with an arc-shaped groove. A one-way valve assembly is located inside the telescopic assembly. A connecting assembly is located on the top of the mounting assembly for mounting the swing arm. This invention achieves a stable clamping mechanism based on negative pressure, effectively solving the problems of large clamping force fluctuations, release delays, and operational difficulties in existing friction clamping systems. It offers advantages such as providing stable head fixation, reducing clamping force fluctuations and reset delays, improving CT imaging quality, and enhancing operational convenience.

This invention discloses a fractal analysis method for top coal seam fractures based on CT imaging, belonging to the field of fracture fractal detection. The method includes the following steps: based on CT scan data of top coal samples, a three-dimensional digital model containing fracture information is obtained through three-dimensional reconstruction; the three-dimensional digital model is processed using image processing methods to extract the fracture network and calculate topological parameters; the fracture network is processed using fractal analysis methods to calculate the global fractal dimension and local dimensional statistical features; the topological parameters, global fractal dimension, and local dimensional statistical features are fused to form a multi-scale feature vector; based on the multi-scale feature vector, a machine learning model is used to obtain the top coal fracture classification result. This invention overcomes the limitations of traditional methods that rely on a single indicator and are highly subjective, achieving objective and accurate identification of the development level of top coal fractures.

The invention provides a method for data reduction in the context of spectral CT imaging. The method comprises reducing the number of spectral channels of the acquired CT data by a reduced set of synthetic energy channels, each from a weighted combination of the original measured energy channel. The weights are selected in an optimization process in which an error metric associated with an output of a material decomposition procedure to be applied to the CT data is estimated, and the weights adjusted to minimize a value of the error metric. The error might for example be a noise estimate, and / or a bias estimate.

The invention relates to the technical field of medical image processing. The invention discloses a sparse angle CT (Computed Tomography) reconstruction method and device based on an image domain and a projection domain, which can improve the integrity of feature extraction in a CT imaging reconstruction process. The sparse angle CT reconstruction method based on the image domain and the projection domain comprises the steps that the image domain and the projection domain corresponding to original projection data in CT scanning are obtained, the image domain is a set of image data obtained after the original projection data are processed through a CT reconstruction algorithm, and the projection domain is a set of original projection data; and inputting the image domain and the projection domain into a DU-Net network model, and carrying out parallel processing on the image domain and the projection domain through the DU-Net network model to obtain a target CT image.

The invention discloses a novel bismuth-based chelate CT contrast agent and a preparation method and application thereof. The synthesis method comprises the following steps: reacting 2, 6-pyridine dimethyl carbinol with thionyl chloride to obtain 2, 6-bis (chloromethyl) pyridine; the preparation method comprises the following steps: carrying out a heating reaction on 2-(4-methylphenyl)-1, 2, 4-triazine-2-ketone, N, N ', N'-tri (p-toluenesulfonyl) diethylenetriamine and an inorganic base in a solvent, and carrying out concentrated sulfuric acid deprotection to obtain an intermediate pyclen; the preparation method comprises the following steps: heating and reacting pyrene and halogenated carboxylic ester in a polar organic solvent under an alkaline condition, and hydrolyzing to obtain a ligand product; and heating and chelating the ligand product and a bismuth agent to prepare the target bismuth-based chelate. Laboratory large-scale preparation of the small-molecule bismuth-based chelate CT contrast agent is achieved, and the prepared nonionic contrast agent has low osmotic pressure, high stability, high water solubility and good biological safety and is used for CT imaging of digestion, urinary and circulatory systems.

The invention relates to a method and a CT imaging system, the method is implemented on a computing device, and the method comprises the following steps: acquiring low-dose image data; obtaining a first neural network model; processing the low dose image data based on a first neural network model to generate virtual high dose image data corresponding to the low dose image data; the first neural network model is obtained by the following steps: obtaining high-dose projection data, wherein the high-dose projection data is generated by scanning an examined object by using a scanner; acquiring low-dose projection data corresponding to the high-dose projection data, wherein the low-dose projection data is acquired from a scanner or is simulated and determined based on the high-dose projection data; generating a high-dose image through a first reconstruction technique based on the high-dose projection data; generating a low-dose image by a second reconstruction technique based on the low-dose projection data; and training a neural network model based on a neural network training algorithm, the high-dose image and the corresponding low-dose image to determine a first neural network model.

The application belongs to the technical field of medicines, and relates to a ferric bismuth oxide multi-modal imaging probe and a preparation method and application thereof. x The ferric bismuth oxide multi-modal imaging probe has a molecular formula of BiFeO x wherein x is 2.5-3.5, the ferric bismuth oxide multi-modal imaging probe has CT imaging and MRI imaging functions, and has POD-like activity, CAT-like activity and GSH-Px-like activity. The preparation method comprises the following steps: dissolving bismuth nitrate in a mannitol solution, then adding a high-molecular polymer to form an A solution; dissolving ferric nitrate in a mannitol solution to form a B solution; dropping the B solution into the A solution, then adding ammonia water, performing high-temperature treatment after reaction, and obtaining the ferric bismuth oxide multi-modal imaging probe after cooling and washing. The ferric bismuth oxide multi-modal imaging probe has significant advantages in multi-modal imaging and tumor treatment, overcomes part of the limitations of single imaging technology and traditional treatment methods, and has important clinical application value.

The present application relates to the field of life science and medical photography imaging technology, and specifically discloses an imaging system, a control method and device thereof, and a storage medium, the imaging system comprising a laser measuring device and a CT imaging device, the CT imaging device comprising an X-ray ball tube and a detector, a target to be measured being located between the X-ray ball tube and the detector, the control method comprising: acquiring a first respiratory signal of the target to be measured collected by the laser measuring device and a second respiratory signal of the target to be measured collected by the X-ray ball tube; determining a first time domain and a second time domain according to the first respiratory signal and the second respiratory signal; collecting a current respiratory signal of the target to be measured by the laser measuring device, and performing imaging processing on the target to be measured when the current respiratory signal is in the second time domain, so that the external monitoring signal can replace the internal monitoring signal, the real-time state of the region of interest of the detected living animal can be observed conveniently, the precision is high, and the influence of X-ray radiation on the living animal can be reduced, and the use safety is improved.