56 results about "Cone beam computed tomography" patented technology

The invention relates to the technical field of image correction of computed tomography equipment, in particular to a cone beam computed tomography equipment correction method, and aims to solve the problems that geometric parameters projected by existing CBCT equipment are inaccurate, and a three-dimensional image subjected to three-dimensional reconstruction has obvious artifacts. In order to achieve the purpose, the method comprises the following steps: acquiring position coordinates of a marking substance in a phantom coordinate system and projection coordinates of the marking substance on a flat panel detector coordinate system when a conical ray originates from a plurality of positions; based on the position coordinates and the projection coordinates, calculating a projection matrix when the conical ray originates from a plurality of positions; calculating an average internal reference matrix of the plurality of internal reference matrixes based on the plurality of projection matrixes; determining a calculation projection coordinate corresponding to the position based on the average internal reference matrix and the position coordinate; and a nonlinear least square optimization algorithm is adopted to minimize the distance error between the projection coordinates and the calculated projection coordinates, and a calibration projection matrix is obtained. Random errors are suppressed by calculating an arithmetic average of the plurality of internal reference matrices.

The invention relates to the technical field of orthodontics and medical image processing, in particular to an artificial intelligence-based automatic positioning method and system for a maxillary bone expansion device. The positioning method comprises the following steps: taking a cone beam computed tomography image and intraoral scanning data of a patient; segmenting a key anatomical structure based on the scanned image, wherein the key anatomical structure comprises an incisor foramen and a transverse palate slit; automatically identifying a plurality of cranio-maxillofacial mark points based on the scanned image, and establishing a maxilla three-dimensional coordinate system; based on the three-dimensional coordinate system, the intraoral scanning data and the key anatomical structure, positioning adjustment is carried out on the arch expander to determine the final positioning posture, and positioning adjustment comprises the steps that the safe distance between the arch expander and the surface of the palate mucosa is screened, and contact with the key anatomical structure is avoided; and outputting the three-dimensional parameters of the final positioning posture. According to the invention, the automatic, intelligent and safe placement of the arch expanding device is realized, so that the design efficiency is improved, the operation difficulty is reduced, and the clinical safety and the arch expanding effect are guaranteed.

The present disclosure provides a cone beam computed tomography system for proton therapy comprising an x-ray source configured to generate x-rays and positioned to rotate around a patient at a treatment isocenter, a detector assembly positioned opposite the x-ray source and configured to receive x-rays that have passed through the patient, a rotation mechanism configured to rotate the x-ray source and the detector assembly around the patient while maintaining their relative positions, a translation mechanism configured to translate at least one of the x-ray source, the detector assembly, or a patient couch during rotation to implement a wobbled scan orbit, and a scatter rejection grid attached to the detector assembly and focused on the x-ray source to reduce scattered x-rays. The translation mechanism distributes missing projection data across multiple radii and angles, enabling improved reconstruction quality through iterative reconstruction methods.

The invention relates to the technical field of cone-beam computed tomography, and discloses a scattering correction method and system for cone-beam computed tomography. The method comprises the following steps: acquiring original projection data and main scattering data acquired by a first flat panel detector; wherein the first flat panel detector is arranged in the emission direction of the radiation source; acquiring secondary scattering data acquired by a second flat panel detector; wherein the second flat panel detector is arranged in the scattering direction of the radiation source; determining target projection data based on the original projection data, the main scattering data and the auxiliary scattering data; the target projection data is used for cone beam computed tomography imaging. According to the method, scattering correction can be completed on the premise of not depending on special hardware, not additionally increasing radiation dose and not losing imaging view, and the imaging precision can be effectively improved.

The application provides an oral cavity CBCT motion artifact correction method, device, equipment, medium and product, and relates to the technical field of data processing. The method comprises the following steps: acquiring oral scanning three-dimensional data of a target oral cavity and CBCT (cone beam computed tomography) projection data of the target oral cavity; determining initial oral cavity motion parameters according to the oral scanning three-dimensional data and tooth array three-dimensional surface data; determining oral cavity motion forward projection data according to the oral scanning three-dimensional data and the initial oral cavity motion parameters; and determining motion artifact correction parameters of the target oral cavity according to the oral cavity motion forward projection data, the CBCT projection data and the initial oral cavity motion parameters. The technical scheme of the application avoids introducing additional markers, so that the correction calculation speed can be faster and the correction accuracy can be improved without introducing new markers.

The embodiment of the application relates to the technical field of tooth correction, in particular to an automatic tooth arrangement method and device based on point cloud understanding, equipment and medium, the method comprises the following steps: acquiring tooth point cloud based on cone beam computed tomography image; the tooth point cloud comprises three-dimensional point cloud data of complete teeth containing tooth roots; tooth features are extracted based on tooth point cloud data and a graph convolution network of an attention mechanism; the tooth features comprise a global feature vector of a dentition and a local feature vector of the teeth; the tooth features are aggregated and updated based on a dynamic graph recommendation method to obtain a pose prediction result; the pose prediction result is optimized based on the aggregated and updated tooth features and an iterative optimization method to obtain a target pose result. The automatic tooth arrangement method based on point cloud understanding can automatically calculate corresponding target poses according to original dentitions of patients with malocclusion, and the accuracy of automatic tooth arrangement results is improved.

The utility model provides a CBCT (Cone Beam Computed Tomography) radiation source oil tank radiating device, which belongs to the technical field of CBCT equipment and comprises a base and an oil tank arranged on the base, the air duct assembly is arranged along at least one side face of the oil tank and used for forming a heat dissipation channel, the cooling fins are arranged between the side face of the oil tank and the air duct assembly, the fan assembly is arranged at the end of the air duct assembly and used for forming one-way heat dissipation air along the heat dissipation channel, and the air duct assembly is arranged along three adjacent side faces of the oil tank. The base comprises a bottom plate, a vertical plate fixedly arranged at the top of the bottom plate and a supporting plate arranged at the top of the vertical plate. The utility model further provides a CBCT (cone beam computed tomography), a plurality of outer sides of the radiation source oil tank are provided with radiating structures, radiating fins are in direct contact with the radiation source oil tank, so that radiating efficiency can be effectively improved, meanwhile, a fan and air duct combined mode is adopted and is different from a traditional mode of arranging a temperature gathering plate, and the CBCT has the advantages of being simple in structure, low in cost and the like. And the cost is low.

The invention discloses a double-axis control method and system for cone beam computed tomography equipment, and relates to the technical field of equipment control, and the method comprises the following steps: obtaining guide rail contact state data of a rotating arm at different heights and angles, and constructing a guide rail load distribution topology; identifying the offset state of the load action line based on the guide rail load distribution topology, and performing time sequence expansion on the guide rail load distribution topology based on the offset state to obtain a guide rail stress unbalance set; performing coupling reconstruction on the target motion paths of the rotating shaft and the lifting shaft based on the guide rail stress unbalance set to obtain a double-shaft cooperative motion track; coordinately adjusting the movement speed change process of the rotating shaft and the lifting shaft to obtain a load balance state; the double-shaft driving control instruction is generated based on the load balance state, the rotating arm is controlled to complete the posture adjusting process, and the problem that in the double-shaft cooperative movement process, due to the dynamic change of load distribution of the rotating arm, the stress of a guide rail contact interface is unbalanced is solved.

Methods and apparatus for generating a hybrid (e.g., fused) cone beam computed tomography (CBCT) scan using intraoral scan data. Methods and apparatus for more efficiently processing CBCT data are also described herein. Also described herein are methods and apparatus for enhancing dental and / or orthodontic treatment planning using hybrid CBCT and intraoral scan data, methods and apparatus for interactively presenting hybrid CBCT and intraoral scans and generating one or more treatment plans in conjunction with a user and / or a dental instrument for treating a patient according to a treatment plan that takes into account hybrid CBCT and intraoral scans.

The present invention provides a method of matching data, which is performed by an apparatus for matching data, the method including synchronizing acquisition time points of cone beam computed tomography (CBCT) data and 3D scan data, conforming coordinate systems of the CBCT data and the 3D scan data, constructing a 3D scan image in which a motion is corrected by matching depth maps created each time the 3D scan data are acquired, and constructing a CBCT 3D image in which the motion is corrected from the CBCT data by applying motion information acquired by matching the depth maps.

The embodiment of the invention discloses a cone-beam computed tomography system and an image reconstruction method, device and product, and the cone-beam computed tomography system comprises two X-ray sources, two pairs of detectors and a movement mechanism; wherein the two X-ray sources are arranged on a rotating rack of the movement mechanism according to a preset interval; each pair of detectors in the two pairs of detectors corresponds to one of the two X-ray sources; and each pair of detectors comprises two same detectors. According to the technical scheme provided by the embodiment of the invention, the problem that the field of view of the current cone beam computed tomography equipment is small is solved, the field of view in the imaging process can be expanded, the detection signal acquisition efficiency is improved, and the image reconstruction efficiency is improved.

The invention relates to the technical field of image analysis, in particular to a temporomandibular joint three-dimensional reconstruction system based on multi-modal image fusion, which comprises the following steps of: acquiring three-dimensional body data obtained by CBCT (cone beam computed tomography) and MRI (magnetic resonance imaging) medical images of a temporomandibular joint, and determining key points; determining a small opening process or a large opening process according to the physiological movement process; in the small opening process, a target distance is obtained according to the difference between the opening degree and a preset opening threshold value; in the large opening process, a target interval is determined directly according to the interval between a condylar process vertex and an attachment point under a preset opening threshold value and the translation distance in the translation process after the preset opening threshold value is exceeded; and finally, comparing the target distance with the model distance, and determining whether model reconstruction is needed or not. According to the method, error analysis of the whole physiological movement process can be realized through relatively clear point change, so that a more accurate and reliable three-dimensional model is obtained.

An x-ray imaging apparatus and associated method are provided for receiving measured projection data in a primary region and measured scatter data in an asymmetric shadow region, and determining an estimated scatter in the primary region based on the measured scatter data in the shadow region. The asymmetric shadow region can be controlled by adjusting the position of the beam aperture center on the readout region of the detector. The half-shadow data can also be used to estimate the scatter in the primary region.

The invention relates to an image reconstruction method based on a projection image, belongs to the technical field of cone beam computed tomography, and solves the problem of low quality of a target reconstruction image caused by the change of CBCT parameters in the prior art. The image reconstruction method comprises the following steps: acquiring projection images of a target object at each projection angle by using CBCT, and determining object areas of the projection images of the target object at each projection angle by using an edge detection method; estimating CBCT parameters according to the object areas of the projection images of the target object at each projection angle to obtain a torsion angle and a transverse offset of the CBCT; and reconstructing the target object by combining the projection images of the target object at each projection angle according to the torsion angle and the transverse offset of the CBCT to obtain a target reconstruction image. And the image precision of target object reconstruction by using CBCT is improved.

The invention relates to a computer-implemented method for generating a simulated cone beam computed tomography image based on a computed tomography image. The computed tomography image is transformed into an attenuation coefficient of the represented tissue, and the computed tomography image is forward projected to the projection image based on predetermined scanner parameters of the simulated cone beam computed tomography scanner. After artificial noise representing noise detected by the simulated cone beam computed tomography scanner is added to the projection image, the projection image is back-projected using a predetermined reconstruction algorithm to generate a simulated cone beam computed tomography image of the object. The invention further relates to a method for generating training data for training an artificial intelligence module on the basis of a simulated image, and to a method for registering a computed tomography image to a cone beam computed tomography image, and a method of segmenting a cone beam computed tomography image using an artificial intelligence module trained using training data including simulated cone beam computed tomography images.

The invention provides an image correction method, device and equipment and a medium, and the method comprises the steps: obtaining a plurality of projection images of different beam-out angles for a scanned object through a target CBCT (cone beam computed tomography) system; the target CBCT system comprises a radiation source, a two-dimensional grid and a flat panel detector, and the grid period of the two-dimensional grid and the pixel size of the flat panel detector meet integral multiple constraints; aiming at each projection image, carrying out mirror image compensation and frequency domain conversion processing on the projection image to obtain a spectrogram corresponding to the compensated projection image; on the basis of integral multiple constraints, grid line filtering and inverse frequency domain conversion processing are carried out on grid line frequency components generated by the two-dimensional grid line in the amplitude frequency spectrogram, and a corrected projection image is obtained; and performing CBCT reconstruction based on the plurality of corrected projection images to generate a reconstruction image corresponding to the scanned object. Through the integer multiple constraint, the position of the grid line generated by the two-dimensional grid line in the amplitude spectrogram can be determined, and the accuracy of grid line filtering is improved.

The application discloses a method and system for on-chip integrated coded aperture cone-beam computed tomography, and relates to the field of cone-beam computed tomography, comprising: designing a coded mask plate according to the scale of an X-ray image sensor and an expected magnification, and integrating the coded mask plate on the X-ray image sensor; and constructing an on-chip integrated coded aperture X-ray image sensor imaging model. A two-dimensional high-resolution image is obtained by reconstructing a collected two-dimensional coded image through an SCI algorithm, and a three-dimensional high-resolution voxel image is obtained by reconstructing through an FDK algorithm. The application reconstructs a cone-beam computed tomography device, constructs an X-ray imaging model for mapping a two-dimensional image to a three-dimensional space, and can use natural images or X-ray images for training, reconstruct a two-dimensional high-resolution image from a two-dimensional coded image, and finally obtain a three-dimensional high-resolution voxel image through an FDK algorithm. The application has the characteristics of compact structure, high reconstruction quality, good generalization, high robustness and the like.

The invention provides an X-ray perspective deformation correction system, which is used for correcting deformation of a detected object caused by X-cone beam ray perspective projection. The X-ray perspective deformation correction system comprises a projection imaging system, a color superposition module and a learning module. The projection imaging system is a cone beam X-ray imaging system including a digital X-ray photography (DR) system and a cone beam computed tomography (CBCT) system. The projection imaging system carries out perspective projection on the detected object from two complementary visual angles so as to obtain a first view and a second view respectively. The first view and the second view are processed by the color superposing module to form a superposing color image. And the superposed color image is input into the learning module and is processed by the learning module to obtain a corrected image.

1. The name of the design product: oral and maxillofacial cone beam computed tomography equipment. 2. The use of the design product: for imaging of dental, head and other parts in the medical field. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: design 1 perspective view 1. 5. The bottom of the design product is not easy to see or not visible during use, omit design 1 view; The bottom of the design product is not easy to see or not visible during use, omit design 2 view. 6. Design 1 is designated as the basic design.

1. The name of the design product: oral and maxillofacial cone beam computed tomography equipment. 2. The use of the design product: for orthodontic, oral implant and difficult diagnosis of dental periodontal disease. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention provides a method for automatically selecting and reconstructing a central layer, which comprises the following steps of: performing an automatic layer selection step on at least one plane of an x plane, a y plane and a z plane of a cone beam computed tomography system, namely performing rotary scanning on a measured object to obtain at least one original projection drawing, and obtaining a target projection drawing according to the original projection drawing; a preset number of target rows and columns are selected from a pixel point matrix of the target projection drawing, reconstruction rows and columns are obtained according to the target rows and columns and serve as reconstruction center layers of the corresponding planes, and the preset number is a natural number larger than or equal to 1. Through the method provided by the invention, the problem that in the prior art, only manual adjustment can be carried out, and the reconstruction center layer cannot be automatically selected is solved.

The application discloses a kind of dual-axis control method and system of cone-beam computer tomography equipment, it is related to equipment control technical field, including the following steps: obtaining the guide rail contact state data of rotating arm at different heights and angles, and construct guide rail load distribution topology;Load action line offset state is identified based on guide rail load distribution topology, and guide rail load distribution topology is time-sequenced expansion based on offset state, and guide rail stress imbalance set is obtained;Based on guide rail stress imbalance set, the target motion path of rotating shaft and lifting shaft is coupled reconstruction, and dual-axis collaborative motion trajectory is obtained;The motion speed change process of rotating shaft and lifting shaft is coordinated and adjusted, and load balance state is obtained;Dual-axis driving control instruction is generated based on load balance state and controls rotating arm to complete posture adjustment process, solve the problem that guide rail contact interface stress imbalance is caused by the dynamic change of load distribution of rotating arm in dual-axis collaborative motion process.

1. The name of the design product: oral and maxillofacial cone beam computed tomography equipment (560F). 2. The use of the design product: for imaging the digital layer of the tissue structure of the oral and maxillofacial. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view. 5. The top view of the design product is omitted, which is not easy to see or cannot be seen when in use.

The present disclosure a manufacture method of axial direction and depth checking guide plate for implanting, comprises the following steps: S1: obtaining dentition data by an optical scanner, obtaining a preoperative model; virtually arranging the teeth to obtain a virtual waxing; taking Cone Beam Computed Tomography to obtain the jaw data; S2: determining the type and specification of implant, adjusting the three-dimensional position of the implant; S3: customizing an abutment, and obtaining the abutment data and model data after fitting of the dentition data and the jaw data; S4: constructing abutment cylindrical features, deviating to the labial / buccal side and lingual / palatal side respectively, and constructing the offset cylindrical features again; S5: creating the indicator rod, and fitting with the labial / buccal and lingual / palatal prototype separately to obtain the definitive indicator rod data; S6: designing an occlusal plate and connecting with the indicator rod, completing design of the guide plate, and 3D printing.

Presented herein are systems and methods of reconstructing tomograms from projection datasets obtained during radiotherapy. A computing system may receive a projection dataset corresponding to a portion of an arc about a first structure of interest (SOI) in a first volume of a subject acquired in accordance with a cone beam computed tomography (CBCT). The computing system may generate, based on applying the projection dataset to a machine learning (ML) model, a tomogram (e.g., a perfusion image)corresponding to the first volume of the subject. The computing system may store, using one or more data structures, an association between the subject and the tomogram.

The utility model relates to the technical field of oral medical treatment for children, in particular to a CBCT (cone beam computed tomography) guided 3D (three-dimensional) printing personalized distal guide plate gap retainer, which comprises an abutment fixing sleeve and a distal guide plate vertical plate, a mounting mechanism is arranged between the abutment fixing sleeve and the distal guide plate vertical plate, and anti-licking mechanisms are arranged on the inner sides of the abutment fixing sleeve and the distal guide plate vertical plate. The abutment fixing sleeve and the distal guide plate vertical plate are formed by 3D personalized printing under the guidance of CBCT (cone beam computed tomography), the abutment fixing sleeve can be accurately matched with the anatomical form of an abutment, the distal guide plate is ensured to be perfectly attached to the mesial adjacent surface of an ungerminated first permanent molar of a child, and the abutment fixing sleeve is sleeved on the abutment, so that the abutment fixing sleeve can be used for fixing the first permanent molar of the child. Then, a rotating rod is screwed to drive a driving bevel gear and a driven bevel gear to rotate in a meshed mode, a lead screw rotates to push a hollow pipe to move outwards, a vertical plate of a distal guide plate is pushed to move to the mesial adjacent face where a first permanent molar is not germinated for installation, and the gap length of a gap retainer can be finely adjusted along with child development.

The invention relates to a CBCT (Cone Beam Computed Tomography) parameter estimation method without a special motif, belongs to the technical field of CBCT, and solves the problem of poor precision of estimated CBCT parameters in the prior art. The CBCT parameter estimation method comprises the following steps: acquiring projection images of an object at each projection angle by using CBCT, and determining object areas in the projection images at each projection angle; determining a preset sampling line according to an object area in the projection image at each projection angle; determining a first transverse offset of each preset sampling line according to the sinogram corresponding to each preset sampling line, and performing linear fitting based on the first transverse offset of each preset sampling line to obtain a torsion angle of the CBCT; and performing rotation correction on the projection images at each projection angle by using the torsion angle of the CBCT, extracting a sinogram corresponding to the center line from the projection images at each projection angle after rotation correction, and taking the transverse offset of the center line as the transverse offset estimation value of the CBCT. And the estimation precision of the CBCT parameters is improved.

The invention particularly relates to a slidable embedded tooth traction device combining a digital model with CBCT, the slidable embedded tooth traction device comprises a guide bracket, a tongue side buckle and a traction rope, both sides of the guide bracket are provided with profiling gear rings, the guide bracket is slidably connected with a traction slip ring, the traction slip ring is in threaded connection with a first screw, and the traction slip ring is in threaded connection with a second screw. The traction sliding ring is fixedly connected with the guide support through a first screw, a positioning cylinder is arranged on the traction sliding ring, a traction hook is inserted into the positioning cylinder and composed of an insertion rod and a hook, the traction rope is arranged on the tongue side buckle and the hook in a sleeving mode, a screw hole is formed in the insertion rod, and a second screw is connected to the screw hole in a threaded mode. The embedded tooth traction device has the advantages that the slidable traction sliding ring and the detachable traction hook are arranged, adjustment in the three-dimensional direction can be conducted along with the traction treatment course of embedded teeth, the discomfort of a patient in the treatment course can be reduced, and the traction accuracy and efficiency of the embedded teeth are improved.

This disclosure provides methods, devices, and systems for planning and performing medical procedures. The present implementations more specifically relate to registering an image space with a sensor space for navigating an instrument within an anatomy. In some aspects, a controller for a medical system may determine a position of the instrument in the sensor space based on sensor data received from a sensor disposed on the instrument and may determine a position of the instrument in the image space based on image data captured by an imaging system external to the anatomy while the instrument is disposed within the anatomy. The controller determines a mapping between the image space and the sensor space based on the position of the instrument in the sensor space and the position of the instrument in the image space. In some implementations, the imaging system may be a cone beam computed tomography (CBCT) system.

The present invention relates to a dental implant detection system configured to support accurate detection of dental implants using cone beam computed tomography (CBCT) data. More specifically, the present invention relates to a dental implant detection system that integrates multi-angle CBCT projection and deep learning, wherein the system converts three-dimensional CBCT data into multi-angle projection images, automatically detects the location and status of an implant by optimizing image quality and applying deep learning algorithms, thereby minimizing time-related and human errors that may occur in conventional manual diagnostic methods and improving detection accuracy.