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3D Scenes Exploration
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- Interactive navigation
- Movie generation
- Selectable object transparancy
- Joint view of image planes and objects
- Saving of complex scenes in
VRML format
- Loading of VRML scenes, also from external programs
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| 3D Image Rendering Tool (P3D) |
- Surface-rendering based on threshold segmentation
- Restriction of segmentation to volumes-of-interest
- Integrated rendering of objects from multiple fused studies
- Fusion-based texturing of objects (eg. NH3 perfusion on myocardium surface)
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 Brochure |
[ Case Gallery - Cardiology] |
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Understanding the Spatial Relation of Objects
Physicians trained in cross-sectional imaging are able understand the spatial relationship between tissue structures by mere exploration of slice images. However, for communication purposes it is often helpful to generate simulated views of isolated objects of interest from different viewpoints. 3D image processing allows to derive such objects from slice images and calculate virtual reality scenes which can be explored interactively. |
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Surface Representation of Objects
A virtual object can be derived by segmenting its boundary in the slice images, building a 3D surface from the contours, and shading the surface. The PMOD 3D tool allows such segmentations. As a special option, the object surface color can be derived from matched images, and even animated in time. This feature allows, for instance, to animate the concentration of the NH3 perfusion tracer on the myocardium surface throughout a dynamic acquisition. Alternatively, the whole information of the segmented data an be used for creating images by a depth-weighted algorithm. This approach is particlularly successful with CT data and provides realistic anatomical images. As a unique extension P3D allows to combine the anatomical excellence of volume rendering with color-encoded functional information.
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Merging Objects from Matched Studies
A particular advantage of the PMOD 3D tool is its ability to display objects from matched studies such as a PET/CT dual-modality scan in an integrated scene. As an example, a tumor object can be derived by contouring the SUV PET image and be shown together with structures from the CT study, for example the lung boundary. While such a scene is well suited for exploring the object relationship, much of the original image information is inaccessible, and subtle details may be missed. For closer examinations it is therefore always possible to include orthogonal slices of the original image data into the scene.
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Products 
3D Image Rendering]
