In various embodiments, a parameter domain graph application generates UV-net representations of 3D CAD objects for machine learning models. In operation, the parameter domain graph application generates a graph based on a B-rep of a 3D CAD object. The parameter domain graph application discretizes a parameter domain of a parametric surface associated with the B-rep into a 2D grid. The parameter domain graph application computes at least one feature at a grid point included in the 2D grid based on the parametric surface to generate a 2D UV-grid. Based on the graph and the 2D UV-grid, the parameter domain graph application generates a UV-net representation of the 3D CAD object. Advantageously, generating UV-net representations of 3D CAD objects that are represented using B-reps enables the 3D CAD objects to be processed efficiently using neural networks.

A computer-implemented method is for providing a two-dimensional unfolded image of at least one tubular structure. In an embodiment, the method includes receiving three-dimensional image data of an examination region including the at least one tubular structure; selecting a set of input points in the three-dimensional image data; determining a projection surface with respect to the three-dimensional image data; calculating a set of surface points of the projection surface; calculating a deformed projection surface by applying a deformation algorithm onto the projection surface; calculating a set of voxel positions with respect to the three-dimensional image data based on the deformed projection surface; and calculating the two-dimensional unfolded image of the at least one tubular structure based on the three-dimensional image data and the set of voxel positions.

A system and a method are provided for analyzing an image of an aortic valve structure to enable assessment of aortic valve calcifications. The system comprises an image interface for obtaining an image of an aortic valve structure, the aortic valve structure comprising aortic valve leaflets and an aortic bulbus. The system further comprises a segmentation subsystem for segmenting the aortic valve structure in the image to obtain a segmentation of the aortic valve structure. The system further comprises an identification subsystem for identifying a calcification on the aortic valve leaflets by analyzing the image of the aortic valve structure. The system further comprises an analysis subsystem configured for determining a centerline of the aortic bulbus by analyzing the segmentation of the aortic valve structure, and for projecting the calcification from the centerline of the aortic bulbus onto the aortic bulbus, thereby obtaining a projection indicating a location of the calcification as projected onto the aortic bulbus. The system further comprises an output unit for generating data representing the projection. Provided information on the accurate location of calcifications after a valve replacement may be advantageously used, for example, to effectively analyze the risk of paravalvular leakages of Transcatheter aortic valve implantation (TAVI) interventions for assessing the suitability of a patient for TAVI procedure.

A method is provided that uses commercially available drawing software to manipulate two dimensional images to match all horizontal objects in the image to be wrapped around a tapered or frusto-conical cup. The method allows a novice user with no graphic design experience to create a satisfactory image that avoids the unrealistic “tenting” distortion effect caused by the taper of the cup. The method includes altering the image and transforming it so that the horizontal elements maintain their integrity despite the geometry of the cup. With this method, all horizontal objects within the design appear in the cup as horizontal, even though the image has been manipulated to be non-horizontal in a two dimensional version of the image. In one aspect, the image can be personalized with color by the user. In some embodiments, such as with the use of transparency film, the art work can create a stained glass or painted stainless steel effect.

A computer-based method for generating a context preserving mapping of tubular structures represented by a 3D dataset having the steps of projecting a skeleton of a 3D tubular structure on to a 2D plane, and adjusting the projected skeleton to correct projection imbued distortion in skeleton length. The 2D projected skeleton is processed to remove intersections, and a surface boundary around the 2D skeleton is determined for the map. The 3D surface of the skeleton is mapped to match the 3D boundary to create a 3D map of the tubular structure.

The invention relates to a method for imaging a three-dimensional object to be examined. According to said method, a three-dimensional parameterized area is determined which is in conformity with an anatomic structure of the three-dimensional object to be examined. The three-dimensional parameterized area is imaged onto a two-dimensional parameterized area. The three-dimensional object to be examined is represented by imaging pixels that are associated with the three-dimensional parameterized area onto the two-dimensional parameterized area. The invention further relates to a method for determining a camera position in a three-dimensional image recording of an object to be examined. The invention also relates to a method for representing a section of an object to be examined. The invention finally relates to a device for imaging a three-dimensional object to be examined.

A two-dimensional drawing of a three-dimensional wire harness model is generated by selecting a starting node from a plurality of nodes of the three-dimensional wire harness model, where the starting node is directly connected to a first bundle and a second bundle of the plurality of bundles, wherein further each of the first and second bundles are representable by corresponding first and second vectors. A reference plane is defined based on an orientation of the starting node, the first vector and the second vector, such that a first adjacent node may then be mapped onto the reference plane by geometric translation. Thereafter, a plurality of mapping operations are sequentially carried out until each of the plurality of nodes and the plurality of bundles have been mapped, by geometric translation, to the reference plane, and wherein corresponding translation matrices are stored in association with corresponding ones of the plurality of mapped nodes and/or the plurality of mapped bundles. The two-dimensional drawing of the three-dimensional wire harness model may then be generated such that the two-dimensional drawing includes three-dimensional orientation data corresponding to the plurality of bundles.

The present embodiments relate to cinematic volume renderings and/or volumetric Monte-Carlo path tracing. By way of introduction, the present embodiments described below include apparatuses and methods for cinematic rendering of unfolded three-dimensional volumes. An image analysis algorithm is performed on an input volume to extract one or more structures of interest, such as a rib centerline, a liver surface or another three-dimensional volume. Based on the extracted three-dimensional structure(s), a geometric transformation is computed to generate an unfolded three-dimensional volume of the structure(s). Cinematic volume rendering techniques are used to generate a rendered image from the unfolded three-dimensional volume.

A joint image unfolding apparatus, a joint image unfolding method, and a non-transitory computer readable recording medium storing a joint image unfolding program are provided to make it possible to check information regarding the entire cartilage in a joint with high accuracy. An image obtaining unit (21) obtains a three-dimensional image of a joint having cartilage. An unfolding unit (23) unfolds the cartilage included in the three-dimensional image with reference to a specific reference axis in the joint to generate an unfolded image.

Examples of generating media modification marks based on image content are described. In some examples, modification marks for converting a two-dimensional (2D) media to a three-dimensional (3D) shape are generated based on image processing of an image. In some examples, the modification marks are applied to the 2D media.