84 results about "Craniofacial" patented technology

An integrated system is described in which digital image data of a patient, obtained from a variety of image sources, including CT scanner, X-Ray, 2D or 3D scanners and color photographs, are combined into a common coordinate system to create a virtual three-dimensional patient model. Software tools are provided for manipulating the virtual patient model to simulation changes in position or orientation of craniofacial structures (e.g., jaw or teeth) and simulate their affect on the appearance of the patient. The simulation (which may be pure simulations or may be so-called “morphing” type simulations) enables a comprehensive approach to planning treatment for the patient. In one embodiment, the treatment may encompass orthodontic treatment. Similarly, surgical treatment plans can be created. Data is extracted from the virtual patient model or simulations thereof for purposes of manufacture of customized therapeutic devices for any component of the craniofacial structures, e.g., orthodontic appliances.

An external distraction apparatus for performing a craniofacial distraction is disclosed. The external distraction apparatus may comprise a stationary member. The stationary member may be configured to be affixed to a head of a patient. The external distraction apparatus may also comprise laterally disposed distractors. The laterally disposed distractors may extend inferiorly from the stationary member and be moveable relative to the stationary member. The external distraction apparatus may comprise a motor and controller. The motor may be powered with the controller to perform a craniofacial distraction in an automated fashion.

A composite surgical implant that is made of a planar sheet of a thermoplastic resin that includes a top surface (400), a bottom surface (410), and a surgical grade metal mesh (405) contained therein. The implant may be bent by hand, wherein upon the displacement of the implant, the implant will generally maintain the shape to which it has been displaced.

The invention discloses an automatic tooth arrangement method and an automatic tooth arrangement device, relating to the medical field of digital orthodontics, and solving the problem that the automatic tooth arrangement is poor in accuracy. The main technical scheme is as follows: the automatic tooth arrangement method comprises the following steps: acquiring three-dimensional data of dentition needing orthodontics and three-dimensional data of craniofacial jaw bone; selecting feature points on the three-dimensional data of the dentition and the three-dimensional data of the craniofacial jaw bone; constructing tooth arrangement planes and dental arch curves according to the selected feature points, wherein the tooth arrangement planes comprise a median sagittal plane, a horizontal plane and a tooth arrangement occlusal plane, and the dental arch curves comprise an upper jaw tooth arrangement curve and a lower jaw tooth arrangement curve; moving teeth in the three-dimensional data of the dentition according to the preset tooth positions, so that a target dentition after orthodontics is formed, and the preset tooth positions comprise the target upper and lower dentition sagittal position, the target upper and lower dentition vertical position, and the target upper jaw and lower jaw among-dentition position. The automatic tooth arrangement method and the automatic tooth arrangement device are mainly used for the tooth arrangement in the orthodontics.

The invention discloses a three-dimensional craniofacial reconstruction method based on the overall facial structure shape data of Chinese people, comprising the following steps of: (1) acquiring a thickness distribution model of a facial soft tissue based on the statistic analysis of a large amount of human head CT (Computed Tomography) data; (2) unfolding the soft tissue layer and the skull surface layer of a human head through a cylinder, and projecting the soft tissue layer and the skull surface layer to a two-dimensional flat surface, representing the soft tissue shape and the skull shape by using a two-dimensional depth map, and training a radial basis function network to realize the change between the skull to be reconstructed and the common soft tissue thickness distribution form; (3) constructing a shape subspace of local organs of the reconstructed face based on the craniofacial facial structure shape classification of human species, and learning the mapping between the craniofacial local shape and the local shape of the reconstructed face; (4) correcting the reconstructed face model by combining the integral soft tissue distribution and the local characteristic shape deformation, i.e. completing three-dimensional craniofacial reconstruction and correctness of the input skull by adding the two-dimensional depth maps of the soft tissue shape and the shape of the skull to be reconstructed; and (5) synthesizing a complete texture graph of the face through facial texture mapping by using orthogonal pictures, and rendering the skin color and the hair style of the reconstructed human picture to enhance the reality sense of the human picture. By applying the method, the problems of missing reconstruction details and lack of individual characteristics are solved, the manufacturing cost of other anthropology researches and reconstruction technologies is saved, and the working efficiency is improved. The invention has high automation degree and simple operation.

The invention belongs to the field of computer image processing, and particularly relates to a zonal statistic model based a facial reconstruction method. In the method, by a priori knowledge of calculating human facial model shapes, the skull to be reconstructed is subjected to face skin reconstruction, which means that: partitioning the skull and the face skin model according to different organs, and establishing a zone based statistic model; and respectively reconstructing each face skin zone of the skull zone, and splicing each face skin zone into a facial integral model. After the skull face skin is partitioned, the representation capability of the statistic model is improved, and the error of the reconstruction result is reduced. The zonal statistic model based facial reconstructionmethod has important application value in archaeology, forensic medicine, virtual surgery and other fields.

The invention relates to an artificial bone implant for preservation, repair, and regeneration of the human musculoskeletal apparatus by means of orthopedic, dental and craniofacial implantation. More in particular, the invention relates to use of osteoinductive compositions comprising stem cells from adipose tissue and osteoconductive calcium phosphates in bioresorbable cages as part of an artificial bone implant for stabilization and renewed alignment of spinal column segments.

The invention relates to a craniofacial morphological analysis and facial restoration method based on craniofacial denseness corresponding point clouds. The method comprises the steps of 1, acquisition of skull denseness corresponding point clouds; 2, acquisition of facial denseness corresponding point clouds; 3, visual analysis of a craniofacial morphological relation; 4, expression of the craniofacial morphological relation based on soft tissue partitioning; and 5, facial restoration of an unknown body source skull. According to the method, analysis of the craniofacial morphological relation is realized by use of visual analysis based on a principal component coefficient and a quantitative expression method of least square regression, and the problems that craniofacial point cloud data size is large, principal component geometrical significance cannot be easily determined, and the craniofacial morphological relation cannot be easily expressed quantitatively are solved; the problems that the craniofacial morphological relation is complicated, and the craniofacial morphological relation is inconsistent among different regions are solved by use of a craniofacial partitioning method based on soft tissue thickness, and the accuracy of the craniofacial morphological relation is improved; finally, facial restoration of the unknown body source skull is realized by use of the craniofacial morphological relation based on partitioning.

The invention discloses an automatic analysis method for the cone beam CT image three-dimensional craniofacial structure. Based on a picture model and the full convolutional neural network, the picture model is trained for automatic detection and positioning of an anatomical structure, and the full convolutional neural network is utilized to construct mapping between a cone beam CT image of the anatomical structure and a corresponding marked image. At the test stage, for an input three-dimensional cone beam CT image, firstly, the picture model is utilized to detect the spatial position of theanatomical structure of interests, secondly, the full convolutional neural network is utilized to estimate automatic marking of image subblocks of the structure, and automatic three-dimensional craniofacial structure analysis is realized. The method is advantaged in that the three-dimensional craniofacial structure of interests in the cone beam CT image can be automatically segmented and marked, automatic analysis and segmentation of the stable structure are acquired, and the method can be applied to evaluation of marking and the curative effect of an oral orthodontic treatment plan.

In a preferred embodiment of the present invention, an osteogenetic-orthodontic appliance, device, system, and method optimizes craniofacial homeostasis by means of a 3-D axial spring that influences the patient's genome and thereby addresses problems existing primarily within the mid-facial region, as well as the other contiguous regions. Growth and development of the craniofacial structures can be influenced by foundational (skeleto-dental) correction in concert with functional (myo-spatial) correction, according to the genome of a particular patient by means of the method and systems of the present invention.

The present invention relates to a percutaneous implant abutment for bone anchored implant devices adapted to be anchored in the craniofacial region of a person, such as bone anchored hearing aids. The abutment comprises a skin penetration body having a skin contacting surface. The skin contacting surface has been modified.

The invention discloses a measuring device for measuring craniofacial shape, which comprises a seat and is characterized in that the measuring device also comprises a laser triplex scanner, a turn table, a bracket, a sliding block and a slide track. The slide track is positioned on the ground of a workroom; a U-shaped slot on the sliding block is matched with the slide track, and is clamped and positioned on the slide track and is capable of moving 360 degrees around the slide track; the bracket is fixedly connected to the centre above the sliding block; the turn table is fixedly connected to the bracket and the laser triplex scanner is arranged on the turn table; the seat is positioned on the ground where the centre of the slide track locates, facing to the position of 0 graduation of the slide track. The invention also discloses a method for utilizing the measuring device to measure craniofacial shape, craniofacial image data is obtained with the laser triplex scanner to synthesize craniofacial three-dimensional data model which is then measured, thus realizing non-contact measurement.

A surgical tool configured to facilitate delivery of a neurostimulator to a craniofacial region of a subject includes a handle portion, an elongate shaft having a contoured distal portion, and an insertion groove on the elongate shaft. The elongate shaft is configured to be advanced under a zygomatic bone along a maxillary tuberosity towards a pterygopalatine fossa. The distal portion includes a distal dissecting tip. The insertion groove is configured to receive, support, and guide a medical device or instrument.

The invention discloses a craniofacial restoration method based on a deep generative adversarial network. The craniofacial restoration method comprises the following steps: S1, obtaining a training sample; Obtaining condition information of the to-be-restored object; S2, constructing a generative adversarial network, and obtaining a cost function; Obtaining two-dimensional skull data according tothe three-dimensional skull information of the to-be-restored object; S3, taking data in the training sample as input of the generative adversarial network, training the generative adversarial networkto optimize a cost function, and completing training of the generative adversarial network; And S4, taking the two-dimensional skull data and the condition information of the to-be-restored object asthe input of the trained generative adversarial network to obtain restored craniofacial information. The method is based on the generative adversarial network, high-precision craniofacial restorationcan be carried out according to the skull data and the condition information of the to-be-restored object, and facial recognition of a victim in a criminal case, restoration of the facial appearanceof an ancient person in archaeology, effect prediction of a medical facial surgery and the like are facilitated.

The invention discloses a three-dimensional craniofacial image feature point marking analysis system and method. The system comprises a feature point marking module, a quantitative index calculation module, an anomaly recognition and diagnosis module and a database. The feature point marking module is used for acquiring craniofacial CBCT voxel image data and marking craniofacial anatomical structure feature points according to the craniofacial CBCT voxel image data to generate feature point coordinates; the quantitative index calculation module is used for acquiring coordinates of the featurepoints and calculating quantitative index data according to the coordinates of the feature points; the anomaly recognition and diagnosis module is used for acquiring the coordinates of the feature points, quantifying index data and comparing the quantified index data with sample data in a database to generate an analysis data report. The method comprises the following steps: marking the craniofacial CBCT voxel image data to obtain the feature point coordinates; calculating the coordinates of the feature points to obtain the quantitative index data; and comparing the feature point coordinates and the quantitative index data with sample data in the database to generate the analysis data report.

The invention discloses a method for realizing face skin reconstruction of an unknown skull based on a hierarchical regression model. The method comprises the following steps: respectively treating skulls and face skins in a training sample set, thereby obtaining normalized training sample data; analyzing sub-spaces, thereby obtaining five sub-spaces, namely the skull, face skin, eyes, nose and mouth; respectively establishing regression models of the features of the sub-spaces of the face skin, eyes, nose and mouth to the feature of the sub-space of the skull; reconstructing the whole body of the face skin of the unknown skull and a three-dimensional gridding model of the eyes, nose and mouth according to the regression models; and lastly, reconstructing the face skin by fusing the whole body of the face skin with the three-dimensional gridding model of the eyes, nose and mouth. According to the method, the accurate reconstruction for the basic shape and the whole structure of the face is realized and the local feature areas of the five sense organs also can be finely reconstructed. The method has important application value and practical value in the fields of criminal investigation, archaeology, forensic anthropology, medical operation, cosmetology, and the like.

A method for performing a cranioplasty includes the steps of prefabricating a sonolucent craniofacial implant based upon information generated by preoperative scans, creating a cranial, craniofacial, and/or facial defect, and attaching the craniofacial implant to the cranial, craniofacial, and/or facial defect. The craniofacial implant is composed of a material that is sonolucent and exhibits attenuation of less than 6 dB/cm.