697 results about "Ct imaging" patented technology

Systems and method can be provided to transform input data (e.g., CT imaging data) into structured representations to create interpretable models. Another aspect of the current invention can be generating labels synthetically to apply to real data according to a biologically-based labelling technique to guide the model training with a priori mechanistic knowledge.

The invention provides a three-dimensional CT imaging method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring two DR images with a vertical relation for a to-be-imaged object, and acquiring three-dimensional coordinate information of the to-be-imaged object; inputting the two DR images with the vertical relation and the three-dimensional coordinate information into a preset three-dimensional volume reconstruction model, and obtaining three-dimensional volume data of the to-be-imaged object; and slicing the three-dimensional volume data to obtain a three-dimensional CT image of the object to be imaged. According to the method, the three-dimensional volume reconstruction speed can be improved on the basis of ensuring the imaging quality, so that the high-quality three-dimensional CT image can be quickly obtained.

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.

Embodiments of the present invention relate generally to implant placement into bone. More specifically, embodiments of the invention relate to implant placement across the sacroiliac joint. Placement can be facilitated using various CT imaging views that allow the implants to be placed in bone associated with articular cartilage.

The invention provides a solid-state battery performance testing method and system, and relates to the technical field of battery performance testing. According to the method, pressure is applied to the solid-state battery, the pressure value is gradually changed, in-situ CT imaging detection and electrochemical performance detection are carried out on the solid-state battery in the pressure change process, and coupling analysis is carried out on the pressure value, CT image information and electrochemical parameters; the mutual relation and evolution rule among the pressure value, the CT image information and the electrochemical parameters are summarized, so that the comprehensive performance characterization of the battery under different pressure conditions is realized, and more comprehensive and accurate data support is provided for deeply understanding the performance evolution of the battery in the actual use process; the internal relation between the internal structure change of the battery and the electrochemical performance can be disclosed, and an important theoretical basis and a guidance direction are provided for the optimization design of a battery material and the improvement of the battery performance.

The invention belongs to the field of CT image processing, and particularly relates to a CT image reconstruction method based on a three-dimensional diffusion model and a related device.The method comprises the steps that a medical CT scanner is adopted to obtain three-dimensional CT voxel data, and the three-dimensional CT voxel data is preprocessed; extracting a medical object surface point cloud from the preprocessed three-dimensional CT voxel data by adopting a voxel-level reconstruction algorithm, and generating three-dimensional sparse point cloud data; processing the three-dimensional sparse point cloud data by adopting a 3D Gaussian splashing technology, and converting the three-dimensional sparse point cloud data into three-dimensional Gaussian distribution data by using a pre-trained three-dimensional Gaussian kernel; gradually adding Gaussian noise to the three-dimensional Gaussian distribution data by adopting a three-dimensional diffusion model, and gradually removing the Gaussian noise to generate reconstructed three-dimensional Gaussian distribution data; and projecting the reconstructed three-dimensional Gaussian distribution data to a two-dimensional plane by adopting a rendering technology to generate a two-dimensional CT reconstructed image. According to the method, the advantages of the 3D Gaussian splashing technology and the three-dimensional diffusion model are combined, efficient, real-time and denoising medical image reconstruction can be achieved under the low-dose CT imaging condition, and meanwhile the problem of white floater artifacts possibly occurring in the reconstruction process is effectively solved.

The invention discloses a low-dose 3D spiral CT reconstruction method and system based on a context cold diffusion model, and the method comprises the following steps: converting a linear inverse problem of CT imaging into an optimization problem, and adding a regularization term; based on a near-end gradient descent framework, solving the optimization problem by adopting an iterative shrinkage threshold algorithm, replacing a near-end operator in the near-end gradient descent method with a pre-trained two-dimensional cold diffusion model, and replacing a regularization item with the pre-trained cold diffusion model; when the cold diffusion model is pre-trained, three-dimensional context information formed by a current slice and two adjacent slices is used as the input of the cold diffusion model; taking a low-dose two-dimensional CT image as input, and performing low-dose 3D spiral CT image reconstruction by adopting the trained network; by combining the physical imaging model and the deep learning prior, the reconstruction quality and efficiency of the low-dose CT are remarkably improved, the noise and artifacts in the low-dose CT image are remarkably reduced, and the quality of the low-dose CT image is remarkably improved.

The present invention provides an encapsulated gas or partial vacuum particle contrast media for use in CT imaging. In an exemplary embodiment, the invention provides an enteric contrast medium formulation. An exemplary formulation comprises, (a) an enteric contrast medium comprising a encapsulated gas or partial vacuum particle suspended in water. Exemplary encapsulated gas or partial vacuum particle has a specific gravity between 0.2 and 1.5. In various embodiments, the encapsulated gas or partial vacuum particle is suspended in aqueous media by an agent compatible with enteric administration of the formulation to a subject in need of such administration. In an exemplary embodiment, the contrast material is incorporated into a pharmaceutically acceptable carrier in which the material is suspended homogeneously. In an exemplary embodiment, the encapsulated gas or partial vacuum particle comprises 5% or more of the weight of the contrast material formulation. The invention also provides methods for imaging of the abdomen by dual energy CT or spectral CT contemporaneously with the delivery of the encapsulated gas or partial vacuum particle contrast material into the bowel lumen with or without the deliver of a second complementary contrast material into the blood vessels or other body compartments. The invention also provides methods for the digital separation of CT signal produced by the contrast media of the invention from the CT signal produced by other contrast media or bodily tissues to generate multiple resultant CT images with the contrast medium of the invention subtracted or highlighted.

The invention discloses a multi-section type linear array X-ray source static real-time CT imaging system and an imaging method, and the multi-section type linear array X-ray source static real-time CT imaging system is provided with a scanning device and a ray source control unit; the scanning device is provided with a multi-section X-ray source array and a detector, the transmitting end of the multi-section X-ray source array faces the detector, and the multi-section X-ray source array is connected with the ray source control unit. The multi-section X-ray source array has the advantages that the multi-section X-ray source array can freely adjust the length and the included angle of the whole section, and the multi-section X-ray source array is suitable for a large-size measured object; 2, the multi-section X-ray source array can use fewer X-ray sources to realize the same wide view field, the design is more free, and the expansion is easier; 3, the distribution of ray sources can be relatively dispersed, the crossing of ray paths is less, and the interference of scattered signals can be obviously reduced; and 4, the exposure strategy of the scanning device can be controlled through the radiation source control unit, and the radiation dose utilization rate is optimized.

A method and device for accurately locating and surveying hidden active faults. First, through regional geological analysis and geomorphological judgment, potential hidden active faults and geomorphological features are identified using geological data and remote sensing images. Then, shallow exploration trenches are laid in the preliminary judgment area, and the activity and shallow location of hidden active faults are determined by combining chronological analysis and shallow seismic reflection method. Then, magnetotelluric sounding, microseismic monitoring and seismic wave CT imaging are used to detect deep hidden active faults. After that, a three-dimensional geological model is established by integrating multi-source data to intuitively display the information of hidden active faults. Finally, the activity of hidden active faults is evaluated based on the model, the impact of the project is analyzed, and optimization suggestions such as structural reinforcement and avoidance schemes are proposed. The problem that the traditional geological exploration technology is prone to splashing rocks, threatening personnel safety, increasing the difficulty of collection and affecting the exploration accuracy when locating hidden active faults, especially shallow exploration trenches, is solved due to the excavation equipment and sampling methods.

The embodiment of the invention provides a CT imaging system, and relates to the technical field of radiation scanning. The imaging system comprises an imaging channel used for placing a to-be-imaged object in an imaging process; the M distributed ray sources are arranged at intervals in the circumferential direction of the imaging channel, and at least one distributed ray source comprises q target spots; the N detectors are arranged at intervals in the circumferential direction of the imaging channel and comprise first sub-detectors and second sub-detectors; the CT imaging system comprises a plurality of imaging assemblies, each imaging assembly comprises at least one distributed ray source and at least one first sub-detector, in the same imaging assembly, the distributed ray source and the first sub-detector are arranged face to face in the radial direction of the detection channel, and in the same imaging assembly, the distributed ray source and the first sub-detector are arranged face to face in the radial direction of the detection channel. A plurality of target spots of the distributed ray source and at least one part of the first sub-detector are located in the same plane perpendicular to the first direction; in the first direction, at least one side of the at least one distributed radiation source is provided with at least one second sub-detector.

The invention discloses a spring probe system for rapid registration of articular cartilage based on 3D printing, and relates to the technical field of medical imaging and orthopedic surgery navigation. The problem that the joint registration precision is insufficient due to the fact that cartilage cannot be developed in traditional CT imaging is solved. Through personalized customization of the 3D printing guide plate, convenient installation of positioning holes, adjustability of the spring probe assembly and real-time data monitoring, and automatic data processing of the intelligent registration module, manual operation is reduced, the operation efficiency is improved, the spring probe assembly is reasonable in structure and adjustable in elastic force, stable operation of the system in an operation is guaranteed, and the operation safety is improved. Multi-position CT scanning is combined with an advanced image processing and registration technology, an accurate initial model is constructed, a spring probe assembly collects data and is combined with an elastic deformation compensation model to correct registration errors in real time, the registration accuracy is improved, reliable support is provided for orthopedic surgery navigation, the surgery success rate can be improved, and patient wounds and surgery risks are reduced.

Methods and systems are provided to predict an upper threshold and a lower threshold of a heart rate (HR) of a patient of a computed tomography (CT) imaging system using a machine learning (ML) model, based on HR time series data collected over a duration prior to a cardiac scan. The ML model takes as an additional input a desired probabilistic certainty (e.g., statistical confidence level) that the predicted upper and lower HR thresholds will be accurate, provided by an operator of the CT imaging system. Before the start of the imaging scan, the predicted upper and lower HR thresholds are used to set the start exposure and end exposure times, to ensure that the requested cardiac phases are acquired.

The invention belongs to the field of CT image processing, and particularly relates to a CT image reconstruction method and device for improving 3D Gaussian splashing and a CT system. The method comprises the following steps: acquiring multiple frames of two-dimensional X-ray images; performing three-dimensional reconstruction on each frame of two-dimensional X-ray image to generate three-dimensional point cloud data and camera position information; according to the three-dimensional point cloud data of each frame of two-dimensional X-ray image and the camera position information, generating a two-dimensional plane of each frame of two-dimensional X-ray image by using 3D Gaussian splashing; performing adaptive rasterization processing on the data projected to the two-dimensional plane to generate two-dimensional image data; and performing adaptive rendering processing on the rasterized two-dimensional image data to generate a CT reconstructed image. The method does not need to carry out depth sorting, does not need to depend on a large-scale annotation data set, can effectively suppress noise, reduce artifacts and maintain the edge and detail definition of the image, has efficient reconstruction performance, and is suitable for rapid and high-quality reconstruction of low-dose CT imaging.

The invention discloses a double-view-based deep enhancement CT bone imaging method and system, high-quality image recovery and bone microstructure analysis are realized by using deep learning and multi-strategy fusion technologies, and the system comprises the following modules: a Cascade-SwinUNETR trunk module used for feature extraction and enhancement and realizing efficient multi-scale feature aggregation; and the double-view feature fusion module is used for extracting and integrating complementary information by combining CT image data from different visual angles, so that the detail representation and the structural accuracy of the image are improved. And the unsupervised domain adaptation module (UDA) is used for adapting to different data distributions, does not need additional annotation, realizes cross-domain learning and model generalization, and ensures the stable performance of the system in various medical scenes. According to the method, by improving the definition and accuracy of CT imaging, the decision-making quality and efficiency of doctors in bone health assessment can be remarkably improved, and meanwhile dependence on invasive sampling is reduced.

The invention provides an ultrasonic transmission CT (Computed Tomography) imaging method and system, a computer and a storage medium, which can be used for quickly reconstructing an ultrasonic transmission image with high resolution and high contrast. The method comprises the following steps: in layer-by-layer scanning of an annular ultrasonic transducer array, calculating a TOF (Time of Flight) matrix containing transmission time of all ultrasonic paths after the annular ultrasonic transducer array rotates by a specific angle each time; after one layer of scanning is completed, the TOF matrixes of different angles are recombined into a three-dimensional matrix according to the spatial relation, and missing data are complemented; discretizing an area to be imaged into two-dimensional grids, making each grid correspond to a pixel point, counting transmission time and path length of all ultrasonic paths penetrating through the pixel point, calculating sound velocity contribution values of the paths, taking an average value as a sound velocity value of the pixel point, and generating a two-dimensional ultrasonic transmission image; a two-dimensional image is converted into a three-dimensional image through a ray casting algorithm, the visual influence of voxels is adjusted by introducing a weight factor based on depth, and the depth perception and semitransparent rendering effect of the image are enhanced.

The invention relates to the technical field of computed tomography, in particular to a CT imaging system and method based on a distributed micro-focus X-ray source, and the system comprises the distributed X-ray source provided with a plurality of micro-focuses, a detector, a scanning carrier, a control module and a data processing module. In the scanning process, the distributed X-ray source and the detector rotate around the rotation center relative to the object to be detected at the same time, the multiple small and micro focuses are sequentially subjected to beam outgoing according to the beam outgoing strategy so as to disperse heat dissipation, the peak power of the small and micro focus radiation source can be effectively improved, and the time needed by single CT scanning is shortened. Besides, by designing a beam outgoing strategy of the distributed X-ray source, sampling distribution of a plurality of small microfocuses can be optimized, sub-pixel-level image reconstruction is realized, and the spatial resolution is further improved. According to the system and the method, ultrafast high-definition CT imaging can be realized, and the problem that a traditional single-focus X-ray CT system is difficult to consider high spatial resolution and high time resolution at the same time is solved.

To perform in-situ imaging and characterization of hydraulic fracture development, a triaxial test assembly is configured to evaluate a core sample obtained from a hydrocarbon formation. The triaxial test assembly is positioned within a Computer Tomography (CT) imaging system. While the triaxial test assembly is positioned within the CT imaging system, a core sample is connected to the triaxial test assembly. The triaxial test assembly is operated to evaluate the core sample. The CT imaging system is operated while evaluating the core sample by operating the test assembly. Properties of the core sample are determined using results of operating the triaxial test assembly and of operating the CT imaging system.

The invention discloses a phosphatidylcholine gold nano CT (Computed Tomography) probe as well as a preparation method and application thereof, and belongs to the technical field of medical materials. The preparation method comprises the following steps: step S1, preparing a phosphatidylcholine ligand NH2-MPC; step S2, synthesis of a gold nanocluster GS-Au25 is carried out; and S3, the GS-Au25 is modified with a PC ligand, and the PC-Au25 is prepared. The ultra-small gold nano CT probe PC-Au25 with an Au25 gold nano cluster as a core and phosphatidylcholine PC as a surface ligand is obtained by optimizing and screening the core size and the surface ligand property of ultra-small gold nano particles. Wherein the 2-methacryloyloxyethyl phosphorylcholine is used as a PC ligand for the first time to modify the surfaces of the ultra-small gold nanoparticles, so that the surface modification of the ultra-small gold nanoparticles is realized, and the ultra-small gold nanoparticles can be efficiently and freely filtered through the kidney. The CT probe can be applied to the determination of the glomerular filtration rate through a CT imaging or blood test method.

The invention relates to the field of temperature control, in particular to a temperature control method and system for an industrial personal computer mainboard. The method comprises the following steps: acquiring a CT imaging structure diagram of a mainboard; performing inter-component physical connection analysis and component spatial topology mining on the mainboard CT imaging structure diagram, and constructing a mainboard three-dimensional topological structure model; calculating a real-time temperature value of each mainboard assembly; carrying out time sequence temperature fluctuation analysis and dynamic temperature distribution rendering on the mainboard three-dimensional topological structure model based on the real-time temperature value of each mainboard assembly so as to construct a dynamic heat distribution twinborn model; obtaining a mainboard state monitoring log; and carrying out load fluctuation trend evolution analysis on the mainboard state monitoring log, and carrying out multi-period periodic association mining so as to generate a multi-time-sequence load fluctuation evolution rule. Through efficient and dynamic temperature cooling control, long-term stability and reliability of mainboard performance are achieved.

The invention relates to the field of biological functional materials, and discloses a preparation method and application of a Cu-doped W18O49 nano-enzyme with near-infrared two-region photoresponse. The specific method is as follows: a solvothermal method is adopted, the Cu-doped W18O49 (xCu-W18O49) nano-enzyme is prepared by regulating and controlling the molar doping amount of a Cu element, taking tungsten chloride as a tungsten source, taking copper chloride dihydrate as a copper source and taking n-propyl alcohol as a reaction solvent. The crystallinity of the nano enzyme is good, and the nano enzyme shows remarkable glutathione oxidase (GSHOx) activity in a tumor microenvironment. Compared with W18O49, Cu doping enables enzyme activity to be remarkably improved, the problem of low activity generally existing in current cancer treatment nano-enzymes is effectively solved, and meanwhile the nano-enzyme has application potential in the aspect of CT imaging.

The present invention provides a method, system and medium for the etiology classification of pneumonia CT images, the method comprising: constructing a training set; performing feature extraction; performing semi-supervised learning training, including supervised learning of labeled images and assigning pseudo labels to unlabeled images based on prediction probability and adaptive confidence threshold; performing contrastive learning training, including self-supervised contrastive learning of the remaining unlabeled images, and jointly performing supervised contrastive learning with labeled images and pseudo-labeled images; constructing a joint loss function and performing back propagation optimization; repeating the steps of feature extraction, semi-supervised learning, contrastive learning and loss function optimization until the training is completed; establishing a classification system based on the trained feature extraction network and classification head, and using the classification system to classify pneumonia CT images. The present invention obtains high-quality pseudo labels through a confidence threshold category-by-category iterative optimization mechanism, and effectively alleviates the category imbalance problem by using dynamic weighted balance loss.

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 the field of intelligent medical treatment, in particular to a lung blood flow perfusion automatic classification method and device based on dual-energy CT and a program product. Comprising the steps that lung dual-energy CT scanning data of a to-be-tested person is acquired, and the dual-energy CT scanning data comprises a CT image and a PBV image; performing lung segmentation on the CT image to obtain a segmented CT image; carrying out registration on the segmented CT image and the PBV image to obtain a registered functional image; performing function extraction based on the registered function image to obtain function information; and performing lung function region division through the function information to obtain a division result. By combining the dual-energy CT image and the deep learning technology, a rapid, accurate and non-invasive lung perfusion evaluation tool is provided for clinicians, and the method is particularly suitable for diagnosis and identification of pulmonary vascular diseases and has good clinical value.

The invention discloses a navigation method of a surgical instrument, equipment, a medium and a program product, relates to the technical field of surgery, and discloses the navigation method of the surgical instrument, comprising: acquiring a calibration module DR image and a calibration module optical image; based on the imaging position of the mark point in the DR image of the calibration module and the imaging position of the mark point in the optical image of the calibration module, determining a conversion matrix between an optical tracking system coordinate system and a DR imaging plane coordinate system, and recording the conversion matrix as a first conversion matrix; the surgical instrument is tracked through the optical tracking system, the instrument feature points of the surgical instrument are projected to the DR image of the patient based on the first conversion matrix, the actual position of the surgical instrument can be presented in real time in the DR image of the patient on the basis of not depending on three-dimensional CT image equipment, and therefore the surgical precision and the operation convenience of a doctor are improved.

The invention discloses a boiler pulverized coal particle online measurement device and method based on CT imaging, and relates to the technical field of boiler pulverized coal measurement. The device comprises a CT image acquisition module, a CT image preprocessing module, a particle feature analysis module, a three-dimensional reconstruction module and a report output module. By acquiring and analyzing the multi-angle CT images of the feed opening of the pulverized coal bunker and in the hearth, detailed information, including particle size, particle distribution, particle size uniformity, combustion state and other characteristics, of pulverized coal particles entering the boiler can be detected and monitored on line, and by conducting three-dimensional reconstruction on the multi-angle CT images and marking the pulverized coal, the pulverized coal particles can be detected and monitored on line. A user can monitor the state of the pulverized coal particles of the boiler more easily; by integrating the pulverized coal characteristic data and the three-dimensional graph and outputting the report, the particle size and the distribution state of the pulverized coal particles can be visually monitored, the method can be used for analyzing the combustion state of the boiler, and the combustion efficiency of the boiler is further controlled and improved.

The invention relates to a pressure freezing triaxial test device and method for a rock-soil medium, and belongs to the technical field of rock-soil pressure freezing experiments. The device comprises a pressure bearing mechanism, a triaxial loading control mechanism, a confining pressure loading mechanism, a freezing mechanism and a stress and deformation monitoring mechanism, and can realize accurate control of confining pressure, axial load, pore water pressure and temperature of a sample; through the CT imaging unit, the change of the rock and soil medium in freezing and triaxial loading processes can be monitored in real time. The method comprises the steps of sample placement, CT imaging, confining pressure control, pore water pressure adjustment, axial load application and stress deformation monitoring so as to analyze the mechanical property of the rock and soil medium. According to the invention, the change condition of the rock-soil medium in freezing and triaxial loading processes can be obtained in real time, and a test means is provided for the research of the mechanical properties of underground frozen rock-soil.

Disclosed is a support frame of a CT imaging system, including: a connection flat plate portion; a support body portion disposed on the connection flat plate portion; an X-ray source installation reference portion disposed on the connection flat plate portion; an electrical installation portion; a cooling component installation portion; and a through hole, wherein the through hole is surrounded by the support body portion, the X-ray source installation reference portion, the electrical installation portion and the cooling component installation portion, and the through hole penetrates the connection flat plate portion. The connection flat plate portion, the support body portion, the X-ray source installation reference portion, the electrical installation portion and the cooling component installation portion are integrally formed.

The embodiment of the invention discloses a scattering correction method, device and system for X-ray imaging and a medium. The method comprises the steps that for a CT imaging system based on a double-layer detector, an object signal scanned by the CT imaging system for a scanned object is obtained, an anti-scattering grid in the CT imaging system is placed between a low-energy detector and a high-energy detector, and the high-energy detector is arranged between the low-energy detector and the high-energy detector; the object signals comprise low-energy object signals received by the low-energy detector and high-energy object signals received by the high-energy detector, and the high-energy object signals are filtered by the anti-scattering grid; estimating a low-energy direct signal in the low-energy object signal according to the high-energy object signal; and performing CT image reconstruction according to the low-energy direct signal to obtain a low-energy image, and performing CT image reconstruction according to the high-energy object signal to obtain a high-energy image. According to the technical scheme of the embodiment of the invention, rapid scattering correction of CT imaging can be realized.

The invention belongs to the technical field of CT imaging, and relates to a bismuth-based imaging contrast agent and a preparation method thereof. The bismuth-based imaging contrast agent is formed by chelating diethylenetriamine pentaacetic acid (DTPA) modified by sulfamic acid with bismuth ions and then connecting an antibody to the surface. The preparation method comprises the following steps: carrying out first reaction on DTPA and sulfamic acid in the presence of an activating agent to obtain sulfamic acid modified DTPA; carrying out a second reaction with an inorganic bismuth salt in a second solvent, then adjusting the pH value to be neutral, and drying to obtain aminosulfonic acid modified DTPA chelated bismuth ions; and carrying out third reaction on the DTPA chelated bismuth ions modified by sulfamic acid and an antibody, and drying to obtain the product. The CT imaging contrast agent has excellent CT imaging capability, high safety and tumor cell killing capability.