Abstract: The inner volume of an inhomogeneous three-dimensional object is visualized by a plurality of simulated visual rays. For a respective visual ray entering the object volume, i) a scatter position is determined along the visual ray, ii) a scatter direction is selected in dependence on a random process, and iii) the visual ray is scattered at the scatter position in the selected scatter direction. Steps i) to iii) are repeated until the visual ray is absorbed in the object volume or exits the object volume, wherein the exiting visual ray is incident on an illumination source and, in dependence on a brightness and/or color value of the illumination source, an illumination contribution of the visual ray to a respective visualization pixel is ascertained.

Abstract: A method of visualizing a three-dimensional object from a data volume is disclosed. In an embodiment, the method includes computing an irradiance cache for the data volume; and applying the irradiance cache during rendering of a three-dimensional image from the data volume. In an embodiment, entries of the irradiance cache are organized in a uniform grid.

Abstract: A method and apparatus for volume rendering based 3D image filtering and real-time cinematic volume rendering is disclosed. A set of 2D projection images of the 3D volume is generated using cinematic volume rendering. A reconstructed 3D volume is generated from the set of 2D projection images using an inverse linear volumetric ray tracing operator. The reconstructed 3D volume inherits noise suppression and structure enhancement from the projection images generated using cinematic rendering, and is thus non-linearly filtered. Real-time volume rendering can be performed on the reconstructed 3D volume using volumetric ray tracing, and each projected image of the reconstructed 3D volume is an approximation of a cinematic rendered image of the original volume.

Abstract: Methods, apparatuses, and systems are provided for live capturing of light map image sequences for image-based lighting of medical data. Patient volume scan data for a target area is received over time by a processor. Lighting environment data for the target area is captured over time by a camera. The camera transmits the lighting environment data to the processor over time. The processor lights the patient volume scan data with the lighting environment data into lighted volume data over time. The processor renders an image of the lighted volume data over time.

Abstract: A method of visualizing a three-dimensional object from a data volume is disclosed. In an embodiment, the method includes computing an irradiance cache for the data volume; and applying the irradiance cache during rendering of a three-dimensional image from the data volume. In an embodiment, entries of the irradiance cache are organized in a uniform grid.

Abstract: A three-dimensional object is provided within a light probe, at least one intensive light source of the light probe is detected and selected. Furthermore, a multiplicity of rays are simulated for a respective visualization pixel. For a respective ray entering into an object volume, i) a scattering position is determined, ii) a scattering direction is selected, with a decision being made depending on a first random process as to whether the ray is scattered in the direction of the intensive light source or in a scattering direction to be selected depending on a second random process, and iii) the ray is scattered in the selected scattering direction. Steps i) to iii) are repeated until the ray is absorbed in the object volume or emerges from the object volume and impinges on the light probe.

Abstract: An artificial intelligence agent is machine trained and used to provide physically-based rendering settings. By using deep learning and/or other machine training, settings of multiple rendering parameters may be provided for consistent imaging even in physically-based rendering.

Abstract: The present embodiments relate to cinematic volume renderings and volumetric Monte-Carlo path tracing. The present embodiments include systems and methods for integrating semantic information into cinematic volume renderings. Scan data of a volume is captured by a scanner and transmitted to a server or workstation for rendering. The scan data is received by a server or workstation. The server or workstation extracts semantic information and/or applies semantic processing to the scan data. A cinematic volume rendering is generated from the scan data and the extracted semantic information.

Abstract: The inner volume of an inhomogeneous three-dimensional object is visualized by a plurality of simulated visual rays. For a respective visual ray entering the object volume, i) a scatter position is determined along the visual ray, ii) a scatter direction is selected in dependence on a random process, and iii) the visual ray is scattered at the scatter position in the selected scatter direction. Steps i) to iii) are repeated until the visual ray is absorbed in the object volume or exits the object volume, wherein the exiting visual ray is incident on an illumination source and, in dependence on a brightness and/or color value of the illumination source, an illumination contribution of the visual ray to a respective visualization pixel is ascertained.

Abstract: An artificial intelligence agent is machine trained and used to provide physically-based rendering settings. By using deep learning and/or other machine training, settings of multiple rendering parameters may be provided for consistent imaging even in physically-based rendering.

Abstract: An artificial intelligence agent is machine trained and used to provide physically-based rendering settings. By using deep learning and/or other machine training, settings of multiple rendering parameters may be provided for consistent imaging even in physically-based rendering.

Abstract: 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.

Abstract: A three-dimensional object is provided within a light probe, at least one intensive light source of the light probe is detected and selected. Furthermore, a multiplicity of rays are simulated for a respective visualization pixel. For a respective ray entering into an object volume, i) a scattering position is determined, ii) a scattering direction is selected, with a decision being made depending on a first random process as to whether the ray is scattered in the direction of the intensive light source or in a scattering direction to be selected depending on a second random process, and iii) the ray is scattered in the selected scattering direction. Steps i) to iii) are repeated until the ray is absorbed in the object volume or emerges from the object volume and impinges on the light probe.

Abstract: A method and apparatus for volume rendering based 3D image filtering and real-time cinematic volume rendering is disclosed. A set of 2D projection images of the 3D volume is generated using cinematic volume rendering. A reconstructed 3D volume is generated from the set of 2D projection images using an inverse linear volumetric ray tracing operator. The reconstructed 3D volume inherits noise suppression and structure enhancement from the projection images generated using cinematic rendering, and is thus non-linearly filtered. Real-time volume rendering can be performed on the reconstructed 3D volume using volumetric ray tracing, and each projected image of the reconstructed 3D volume is an approximation of a cinematic rendered image of the original volume.

Abstract: Methods, apparatuses, and systems are provided for live capturing of light map image sequences for image-based lighting of medical data. Patient volume scan data for a target area is received over time by a processor. Lighting environment data for the target area is captured over time by a camera. The camera transmits the lighting environment data to the processor over time. The processor lights the patient volume scan data with the lighting environment data into lighted volume data over time. The processor renders an image of the lighted volume data over time.

Abstract: Functional and anatomical information are combined in medical imaging. The functional information is treated as a light source illuminating surrounding anatomy, not just along a viewing direction. As a result, rendered images of the anatomy include highlighting or visual lighting queues showing locations of biological activity using global illumination.

Abstract: The present embodiments relate to cinematic volume renderings and volumetric Monte-Carlo path tracing. The present embodiments include systems and methods for integrating semantic information into cinematic volume renderings. Scan data of a volume is captured by a scanner and transmitted to a server or workstation for rendering. The scan data is received by a server or workstation. The server or workstation extracts semantic information and/or applies semantic processing to the scan data. A cinematic volume rendering is generated from the scan data and the extracted semantic information.

Abstract: A first interface for reading image data of an anatomical region obtained by means of a medical imaging method is provided. A modeling module serves for establishing a volumetric biomechanical structure model of the anatomical region on the basis of the image data . Moreover, provision is made of a tracking module, couplable with a camera, for video-based registration of spatial gestures of a user. Furthermore, a simulation module, based on the biomechanical structure model, serves to assign a registered gesture to a simulated mechanical effect on the anatomical region , simulate a mechanical reaction of the anatomical region to the simulated mechanical effect, and modify the biomechanical structure model in accordance with the simulated mechanical reaction. Moreover, provision is made for a visualization module for the volumetric visualization of the biomechanical structure model.

Abstract: A method and apparatus for volume rendering based 3D image filtering and real-time cinematic volume rendering is disclosed. A set of 2D projection images of the 3D volume is generated using cinematic volume rendering. A reconstructed 3D volume is generated from the set of 2D projection images using an inverse linear volumetric ray tracing operator. The reconstructed 3D volume inherits noise suppression and structure enhancement from the projection images generated using cinematic rendering, and is thus non-linearly filtered. Real-time volume rendering can be performed on the reconstructed 3D volume using volumetric ray tracing, and each projected image of the reconstructed 3D volume is an approximation of a cinematic rendered image of the original volume.

Abstract: A method and apparatus for volume rendering based 3D image filtering and real-time cinematic volume rendering is disclosed. A set of 2D projection images of the 3D volume is generated using cinematic volume rendering. A reconstructed 3D volume is generated from the set of 2D projection images using an inverse linear volumetric ray tracing operator. The reconstructed 3D volume inherits noise suppression and structure enhancement from the projection images generated using cinematic rendering, and is thus non-linearly filtered. Real-time volume rendering can be performed on the reconstructed 3D volume using volumetric ray tracing, and each projected image of the reconstructed 3D volume is an approximation of a cinematic rendered image of the original volume.