Abstract: A method of determining an illumination effect value of a volumetric dataset includes determining, based on the volumetric dataset, one or more parameter values relating to one or more properties of the volumetric dataset at a sample point; and providing the one or more parameter values as inputs to an anisotropic illumination model and thereby determining an illumination effect value relating to an illumination effect at the sample point, the illumination effect value defining a relationship between an amount of incoming light and an amount of outgoing light at the sample point.

Abstract: In order to decrease a memory footprint for volume rendering, distance field information is adaptively compressed and merged with an existing data structure having unused memory to form a merged dataset. During rendering, the merged dataset is sampled, and a sampled value is used to identify a look-up table for a corresponding voxel or is decompressed and used to skip empty space.

Abstract: A method of determining an illumination effect value of a volumetric dataset includes determining, based on the volumetric dataset, one or more parameter values relating to one or more properties of the volumetric dataset at a sample point; and providing the one or more parameter values as inputs to an anisotropic illumination model and thereby determining an illumination effect value relating to an illumination effect at the sample point, the illumination effect value defining a relationship between an amount of incoming light and an amount of outgoing light at the sample point.

Abstract: In order to decrease a memory footprint for volume rendering, distance field information is adaptively compressed and merged with an existing data structure having unused memory to form a merged dataset. During rendering, the merged dataset is sampled, and a sampled value is used to identify a look-up table for a corresponding voxel or is decompressed and used to skip empty space.

Abstract: A method for improving visual highlighting of spatial structures in a volume data record includes providing a first transfer function for mapping data values of the volume data record to color values of a visual representation, and providing a selection option for a user to select a parameter set. A second transfer function is generated based on the first transfer function and the selected parameter set. The volume data record is represented by the second transfer function.

Abstract: In order to decrease a memory footprint for volume rendering, distance field information is adaptively compressed and merged with an existing data structure having unused memory to form a merged dataset. During rendering, the merged dataset is sampled, and a sampled value is used to identify a look-up table for a corresponding voxel or is decompressed and used to skip empty space.

Abstract: In order to decrease a memory footprint for volume rendering, distance field information is adaptively compressed and merged with an existing data structure having unused memory to form a merged dataset. During rendering, the merged dataset is sampled, and a sampled value is used to identify a look-up table for a corresponding voxel or is decompressed and used to skip empty space.

Abstract: A method for improving visual highlighting of spatial structures in a volume data record includes providing a first transfer function for mapping data values of the volume data record to color values of a visual representation, and providing a selection option for a user to select a parameter set. A second transfer function is generated based on the first transfer function and the selected parameter set. The volume data record is represented by the second transfer function.