Heterogeneous rendering
A machine-implemented display method that, with respect to a volume dataset being rendered, enables a user to navigate to any position in space and look in any direction. Preferably, the volume dataset is derived from a computer tomography (CT) or magnetic resonance imaging (MRI) scan. With the described approach, the user can see details within the dataset that are not available using conventional visualization approaches. The freedom-of-motion capability allows the user to go to places (positions) within the volume rendering that are not otherwise possible using conventional “orbit” and “zoom” display techniques. Thus, for example, using the described approach, the display image enables a user to travel inside physical structures (e.g., a patient's heart, brain, arteries, and the like). In this approach, a display image includes information visually representing an amount of difference between a current pixel and its neighbor pixels.
1. An article comprising a tangible, non-transitory machine-readable medium that stores a program, the program being executed by a machine having a hardware component to perform a method, the method comprising:
associating multiple colors in a color map to respective ranges of volumetric density measures;
receiving a volume dataset defining a volume; and
rendering a view of a dataset, wherein a voxel visualized in the view has a value that is dependent upon a heterogeneity of the voxel at a sample location, the heterogeneity being calculated by taking a sum of a difference between a sampled voxel and its neighbor voxels;
the voxel having a color that is a selected one of the multiple colors, the color being selected by using the value to perform a lookup into the color map;
wherein the view comprises multiple voxels, wherein the number of neighbor voxels used to determine the values of the voxels varies across the view.
2. The article as described in claim 1 wherein a number of neighbor voxels is between 1 and 26.
3. The article as described in claim 1 wherein the heterogeneity is an unsigned heterogeneity that is calculated by taking a sum of absolute value of the difference between a sampled voxel and its neighbor voxels.
4. The article as described in claim 1 wherein the value being visualized is the heterogeneity itself.
5. The article as described in claim 1 wherein the value being visualized is a result of a calculation where heterogeneity is a variable.
6. Apparatus, comprising:
a display;
a processor; and
computer memory holding computer program instructions executed by the processor, the computer program instructions comprising:
program code operative to associate multiple colors in a color map to respective ranges of volumetric density measures;
program code operative to receive a volume dataset defining a volume; and
program code operative to render on the display a view of a dataset, wherein a voxel visualized in the view has a value that is dependent upon a heterogeneity of the voxel at a sample location, the heterogeneity being calculated by taking a sum of a difference between a sampled voxel and its neighbor voxels, the voxel having a color that is a selected one of the multiple colors, the color being selected by using the value to perform a lookup into the color map;
wherein the view comprises multiple voxels, wherein the number of neighbor voxels used to determine the values of the voxels varies across the view.
7. A display method, comprising:
associating multiple colors in a color map to respective ranges of volumetric density measures;
receiving a volume dataset defining a volume; and
rendering a view of a dataset, wherein a voxel visualized in the view has a value that is dependent upon a heterogeneity of the voxel at a sample location, the heterogeneity being calculated by taking a sum of a difference between a sampled voxel and its neighbor voxels;
the voxel having a color that is a selected one of the multiple colors, the color being selected by using the value to perform a lookup into the color map;
wherein the view comprises multiple voxels, wherein the number of neighbor voxels used to determine the values of the voxels varies across the view.
8. The method as described in claim 7 wherein the difference is measured in Hounsfield Units.
9. The method as described in claim 7 wherein the volumetric density measures are Hounsfield Units.