An acquisition unit acquires design data which is three-dimensional data indicating a terrain. A gradient identification unit identifies a gradient of each of the plurality of polygons configuring the design data. An attribute setting unit sets an attribute for each of the plurality of polygons based on the gradient.

A method for visualizing a three-dimensional volume for use in a virtual reality environment is performed by uploading two-dimensional images for evaluation, creating planar depictions of the two-dimensional images, and using thresholds to determine if voxels should be drawn. A voxel volume is created from the planar depictions and voxels. A user defines a plane to be used for slicing the voxel volume, and sets values of the plane location and plane normal. The slice plane is placed within the voxel volume and defines a desired remaining portion of the volumetric plane to be displayed. All but the desired remaining portion of the voxel volume is discarded and the remaining portion is displayed.

The present disclosure provides computer-aided diagnosis systems and methods for detecting bone fracture. The method may include obtaining one or more medical images related to one or more bones. The method may also include obtaining a fracture detection model generated based on a machine learning model. The method may also include detecting, for at least one of the one or more medical images, one or more bone fracture regions of the one or more bones in the medical image using the fracture detection model.

Disclosed are a method of and an apparatus for 3D visualization of the root canal curvature of a tooth. The method includes (a) displaying a CT image of one or more teeth on the basis of CT image data, (b) three-dimensionally rendering at least a portion of the root canal of a target tooth when a dental practitioner selects the target tooth from the CT image, and (c) visualizing a curvature in a region of the root canal that is three-dimensionally rendered using a visual factor.

Disclosed is a three-dimensional ultrasound image display method comprising the following steps: S1: obtaining a series of original two-dimensional images having spatial position and angle information by means of automatic or manual scanning; S2: performing image reconstruction on the basis of the original two-dimensional images to obtain three-dimensional volumetric images; S3: obtaining, from the three-dimensional volumetric images, one or more section images intersecting the original two-dimensional images, and obtaining one or more reconstructed two-dimensional images by means of image processing; S4: displaying together the one or more original two-dimensional images and the one or more section images in a three-dimensional space; and S5: selecting and displaying feature points, feature lines, and feature surfaces in the three-dimensional space on the basis of the original two-dimensional volumetric images. The present method provides an efficient and high-precision three-dimensional image display method, which can be widely applied to ultrasound and other three-dimensional imaging modes.

An application sends primitives to a graphics processing system so that an image of a 3D scene can be rendered. The primitives are placed into primitive blocks for storage and retrieval from a parameter memory. Rather than simply placing the first primitives into a primitive block until the primitive block is full and then placing further primitives into the next primitive block, multiple primitive blocks can be open such that a primitive block allocation module can allocate primitives to one of the open primitive blocks to thereby sort the primitives into primitive blocks according to their spatial positions. By grouping primitives together into primitive blocks in accordance with their spatial positions, the performance of a rasterization module can be improved. For example, in a tile-based rendering system this may mean that fewer primitive blocks need to be fetched by a hidden surface removal module in order to process a tile.

An information processing apparatus configured to paste a full-spherical panoramic image along an inner wall of a virtual three-dimensional sphere; calculate an arrangement position for arranging a planar image closer to a center point of the virtual three-dimensional sphere than the inner wall, in such an orientation that a line-of-sight direction from the center point to the inner wall and a perpendicular line of the planar image are parallel to each other, the planar image being obtained by pasting an embedding image to be embedded in the full-spherical panoramic image, on a two-dimensional plane; and display a display image on a display unit. The display image is a two-dimensional image viewed from the center point in the line-of-sight direction in a state in which the full-spherical panoramic image is pasted along the inner wall of the virtual three-dimensional sphere and the planar image is arranged at an arrangement position.

A method, for two-dimensional mapping of anatomical structures of a patient, includes acquiring three-dimensional image data of anatomical structures of a patient; adapting a virtual network structure to a spatial course of the anatomical structures; defining a user-defined map projection for projection of two-dimensional pixel positions of an image to be output onto a geometric figure around a center of the anatomical structures for which mapping onto a two-dimensional space is defined; ascertaining points of intersection of radially extending half lines assigned to the two-dimensional pixel positions of the image to be output with the virtual network structure; and ascertaining the image to be output based upon image intensity values assigned to the points of intersection ascertained. A method for two-dimensional mapping of the tree-like elongated structure of the patient; a method for simultaneous mapping of a tree-like elongated structure; and corresponding apparatuses are also described.

The present disclosure provides computer-aided diagnosis systems and methods for detecting bone fracture. The method may include obtaining one or more medical images related to one or more bones. The method may also include obtaining a fracture detection model generated based on a machine learning model. The method may also include detecting, for at least one of the one or more medical images, one or more bone fracture regions of the one or more bones in the medical image using the fracture detection model.

A method and a system for determining an orthodontic treatment for a plurality of teeth of a subject are provided. The method comprises: receiving a 3D representation of a first tooth and a second tooth, adjacent thereto, of the subject, of a plurality of teeth of the subject; obtaining a tooth-gingiva segmentation loop; identifying an outer set of vertices positioned outside the tooth-gingiva segmentation loop and an inner set of vertices positioned inside the tooth-gingiva segmentation loop; determining a shortest path from the outer set of vertices to the inner set of vertices; generating, based on the shortest path, a first interdental loop indicative of an interdental boundary between the first tooth and the second tooth, the first interdental loop intersecting the tooth-gingiva segmentation loop; generating a boundary between the first tooth and the second tooth, the boundary including the tooth-gingiva segmentation loop and the first interdental loop.