Systems, methods, and media for pre-processing and post-processing in additive manufacturing are provided. A method includes receiving object geometry data. The method may further include generating a sectional snapshot and a bounding box. The method may also include performing a boundary tracing operation on the sectional snapshots. Further still, the method may include executing a contour mapping algorithm. The method may additionally include outputting slice contour points with respect to the object to be fabricated.

A method of repairing an oral defect model includes performing a three-dimensional oral defect model obtaining step, a defect cutting line detecting step, a defect point selecting step and a smoothing step. The three-dimensional oral defect model obtaining step is performed to scan an oral cavity to obtain a three-dimensional oral defect model message. The defect cutting line detecting step is performed to detect a defect cutting line of the three-dimension oral defect model message, and drive a displayer to display the defect cutting line. The defect point selecting step is performed to select at least one defect feature point of the defect cutting line via the displayer. The smoothing step is performed to perform a smoothing process at the at least one defect feature point, and convert the three-dimensional oral defect model message into a three-dimensional oral repaired model message to smooth the defect cutting line.

A method for providing surgical navigation includes tracking poses of a surgical tool as the surgical tool modifies a bone and performing a constructive solid geometry (CSG) operation using a model of the bone and an accumulation of the tracked poses of the surgical tool. An intersection of the accumulation of the tracked poses with the model of the bone corresponds to a modification of the bone by the surgical tool. The method also includes displaying an image based on a result of the CSG operation.

Disclosed herein is an imaging apparatus and a controlling method thereof, the imaging apparatus includes an image processing unit generating volume images of an object including a region of interest and extracting a reference plane of the volume images and an area setting unit automatically setting a distance from the reference plane, wherein the image processing unit may generate a 3D data of a region of interest based on a cross sectional data of the reference plane and a cross sectional data contained in a plurality of cross sectional images of the volume images existing in the distance.

A medical image processing apparatus according to the present invention includes a moving direction identification unit configured to identify a moving direction of an observed region of a subject depicted in a plurality of volume data collected by a medical diagnostic apparatus, each volume data of the plurality of volume data being collected for each time phase; and a display direction setting unit configured to set a display direction of the plurality of volume data based on the identified moving direction.

The invention concerns a computer implemented method for enhancing the display of features of interest in a 3D image of an anatomical region of a patient, the method comprising: a) obtaining a 3D image of an anatomical region of a patient; b) projecting the 3D image according to a first point of view for obtaining a first 2D image; b1) projecting the 3D image according to a second point of view for obtaining a second 2D image of said anatomical region; the first point of view being transverse to the second point of view and the first 2D image being transverse to the second 2D image; the method comprising c) determining from the first 2D image a first 3D region of interest; d) projecting said 3D region of interest according to the second point of view for obtaining a third 2D image.

An example computing system is configured to (i) receive a request to generate a cross-sectional view of a three-dimensional drawing file, where the cross-sectional view is based on a location of a cross-section line within the three-dimensional drawing file and includes an intersection of two meshes within the three-dimensional drawing file; (ii) generate the cross-sectional view of the three-dimensional drawing file; (iii) add, to the generated cross-sectional view, dimensioning information involving at least one of the two meshes; (iv) generate one or more controls for adjusting a location of the cross-section line within the three-dimensional drawing file; and (v) based on an input indicating a selection of the one or more controls, adjust the location of the cross-section line within the three-dimensional drawing file, update the cross-sectional view based on the adjusted location of the cross-section line, and update the dimensioning information to correspond to the updated cross-sectional view.

3D printing slicing methods, apparatuses, devices, and storage mediums are disclosed. In an embodiment, a 3D printing slicing method includes the following steps: (1) acquiring a 3D model and a target texture picture; (2) obtaining a first model and obtaining a first picture; (3) establishing a mapping set between the first model and the first picture; (4) slicing a target layer of the first model by a slice plane to obtain at least one intersection point; (5) looking up at least one mapping point corresponding to the at least one intersection point in the first picture according to the mapping set, and obtaining corresponding outer contour points by revising coordinates of the at least one intersection point; and (6) obtaining an outer contour boundary line of the target layer by connecting the outer contour points successively.

In one embodiment, a method includes receiving sensor data of a scene captured using one or more sensors, generating (1) a number of virtual surfaces representing a number of detected planar surfaces in the scene and (2) a point cloud representing detected features of objects in the scene based on the sensor data, assigning each point in the point cloud to one or more of the number of virtual surfaces, generating occupancy volumes for each of the number of virtual surfaces based on the points assigned to the virtual surface, generating a datastore including the number of virtual surfaces, the occupancy volumes of each of the number of virtual surfaces, and a spatial relationship between the number of virtual surfaces, receiving a query, and sending a response to the query, the response including an identified subset of the plurality of virtual surfaces in the datastore that satisfy the query.

A navigated surgery system includes at least one processor that is operative to obtain a 2D medical image slice of anatomical structure of a patient. The operations further obtain a 3D graphical model of anatomical structure. The operations determine a pose of a virtual cross-sectional plane extending through the 3D graphical model of the anatomical structure that corresponds to the anatomical structure of the 2D medical image slice. The operations control the XR headset to display the 2D medical image slice of the anatomical structure of the patient, display the 3D graphical model of the anatomical structure, and display a graphical object oriented with the pose relative to the 3D graphical model of the anatomical structure.