71 results about "Cone beam computed tomography" patented technology

The present disclosure relates to a cone beam computed tomography (CT) imaging system, an image processing method, and a device therefor. An image processing method performed by a cone beam computed tomography (CT) imaging apparatus including a source and a detector that rotate around an object may include: obtaining a plurality of projection images projected on the detector for the object; obtaining a correction projection matrix; and reconstructing a three-dimensional image by back-projecting the plurality of projection images based on the correction projection matrix.

The invention discloses a digital dental implant bridge and false tooth and false tooth automatic adaptation and production system based on CBCT (cone beam computed tomography) and oral scanning data and a control method thereof, which are used for realizing automatic design, adaptation and production of a dental implant bridge and false teeth and false teeth and fusing the CBCT data and the oral scanning data to generate a three-dimensional oral cavity digital model. An automatic modeling technology based on deep learning is used for analyzing the occlusion relation, the adjacent tooth form and the implant angle of a patient, and an implant tooth bridge and false teeth are automatically designed to obtain a three-dimensional model of the prosthesis. A computer vision technology or a three-dimensional scanning technology is adopted to detect the consistency of the size and shape of a produced finished product and the three-dimensional model; and digital try-on is performed through an augmented reality (AR) technology, so that rapid adjustment of various parameters of the product is realized.

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 discloses an intraoral scanning data correction method based on dynamic feature weight adjustment. The method comprises the following steps: S1, acquiring initial intraoral scanning data acquired by intraoral scanning equipment; s2, acquiring full oral cavity three-dimensional model data generated by cone beam computed tomography equipment; s3, extracting three-dimensional model information of a single tooth; s4, performing three-dimensional registration on the three-dimensional model information of the single tooth and a corresponding tooth model in the CBCT data based on a dynamic feature weight adjustment algorithm; s5, generating a full oral cavity correction model; s6, using a physical model generated by warehouse scanning as a verification standard; and S7, outputting the corrected full oral cavity three-dimensional model. According to the method, the problems of precision and consistency in oral three-dimensional scanning data are solved, the precision of the corrected whole oral model is remarkably improved, and the method has high practicability and clinical application value.

The present invention relates to x-ray treatment of body lesions. The system acquires images and plans therapy with a non-invasive, kV radiation source. It employs a treatment plan obtained via an artificial intelligence (AI) enhanced Cone Beam Computed Tomography (synthetic CT, sCBCT), wherein reconstructed images are the basis of an optimized plan. Focused kV beams are used to definitively treat, or to enhance immune modulators, to destroy tumors. Distributed external beam entry points yield a significant advantageous dose at depth, wherein intersecting beams accumulate in a restricted focus. The output is planned from a synthetic CBCT obtained in real time at the start of a procedure. Computer optimization selects x-rays traveling towards a pathological location and quenches those striking undesired locations. Beam localization is done by moving a robot-mounted x-ray source around a patient to distribute dose to clinically tolerable levels. A second robot manipulates a flat-panel detector for image capture opposite the source. This invention optimizes delivery of kV beams to deep lesions via sCBCT guidance.

The utility model discloses a jaw support for oral cavity CBCT (cone beam computed tomography), which comprises a jaw support main body, a long jaw support rubber mat is laid at the top end of the jaw support main body, a short jaw support rubber mat is laid at the bottom end of the jaw support main body, and a mounting groove is arranged on one side of the jaw support main body. According to the jaw support for the oral cavity CBCT, due to the fact that the jaw support long rubber mat and the jaw support short rubber mat are arranged, the jaw support long rubber mat is suitable for being used by a patient with a large face, and the jaw support short rubber mat is suitable for being used by a patient with a small face; the jaw support rubber pads with different lengths are convenient for patients with different jaw lengths, and the application range of patients is wide; the jaw support body can be suitable for multiple application scenes, and the use requirements of different imaging view fields are met; the jaw support body is installed on the jaw support support through the supporting rod, and the jaw support body is convenient to install, convenient and fast to adjust, simple in structure, low in price and low in maintenance cost.

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.

A medical imaging system includes a movable station having a C-arm, a collector, an X-ray beam emitter, and a controller. The collector is attached to a first end of the C-arm. The X-ray beam emitter faces the collector to emit an X-ray beam in a direction of the collector and is attached to a second end of the C-arm. The controller moves one of the X-ray beam emitter and the collector to a first offset position along a lateral axis orthogonal to the arc, and obtains a first set of images by rotating the collector and the X-ray beam emitter along the arc about a scanned volume. The controller moves the one of the X-ray beam emitter and the collector to a second offset position along the lateral axis, and obtains a second set of images. The controller combines the first and second set of images to generate a three-dimensional image of the scanned volume.

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.

Cone beam computed tomography imaging method with correction of reconstruction artifacts generated by beam geometry One aspect of the invention relates to a computer-implemented method for determining a 3D representation of a part by cone beam computed tomography emitted from a source. Figure to be published with the abstract: Figure 3

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.

The invention relates to a system for determining an optimal position of a surgical instrument relative to a patient's bone tracker, the system comprising:—a medical imaging system configured to acquire at least one cone beam computed tomography intraoperative image of the patient;—a localization device;—a computer configured to receive images from the medical imaging system and localization data from the localization device and to implement the following method: the method comprising: ⋅(a) receiving at least one preoperative 2D X-ray image of the bone while the patient is in a position of interest; ⋅(b) acquiring an intraoperative 3D medical image of the bone by cone beam computed tomography while the patient is in an operative position different from the position of interest, the 3D image being registered with the coordinate system of the bone tracker; ⋅(c) registering the intraoperative 3D medical image onto the at least one preoperative 2D X-ray image, so as to obtain a registered 3D image representing the bone in the position of interest; ⋅(d) planning a surgical procedure on the registered 3D medical image taking into account said position of interest; ⋅(e) determining an optimal position of the surgical instrument relative to the patient's bone tracker for implementing said planned surgical procedure.

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.

A method of performing a surgical procedure includes obtaining images of a patient's anatomy using a cone beam computed tomography machine while the patient is sedated, identifying an area of interest in the images obtained by the cone beam computed tomography machine, identifying a pathway to the identified area of interest using the images obtained by the cone beam computed tomography machine, and navigating a catheter within the patient's airways to the identified area of interest using the identified pathway.

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.