Segmentation the way it should be
RayStation provides you with fast and user-friendly tools to efficiently and accurately contour the patient in the treatment planning process. It includes a comprehensive toolset ranging from manual to high-end semi-automatic and fully automatic contouring tools. Discover some of our customers’ favorites below.
Smart brush and smart interpolation
The image-guided smart brush and smart interpolation facilitate contouring by snapping to image features and can help delineate organs and targets using only a few contours. See video.
Structure templates allow you to create ROIs with predefined name, type, and color which allows for consistently labeled structure sets according to the clinics’ protocol. Structure templates may also include geometries including density overrides for quick retrieval of support structures.
With ROI algebra, you can create derived ROIs using Boolean expressions and margins. A derived ROI remembers its expression and will automatically detect when it needs to be updated. Derived ROIs also goes into structure templates, saving you the time of specifying complex expressions. See video.
Rigid and deformable registration of multi-modality imaging CT, CBCT, PET or MR is fully supported and integrated with the adaptive radiation therapy functionality. It can be used for showing fused images as a reference while contouring, and for mapping regions or points of interest between image sets.
Model-based segmentation (MBS)
MBS delineates organs automatically using statistical shape models for different body sites. The adaptation to new image data utilizes a combination of greyscale gradients and shape statistics.
Multi-atlas based segmentation (MABS)
Multi-atlas-based segmentation (MABS) lets you use multiple atlas templates to automatically contour the patient. It’s fast and easy to build your own atlas templates with both anatomical and derived structures. In addition, multiple atlases can be fused for increased accuracy.
RayStation uses in-house deformable registration algorithms to propagate contours from multiple datasets to the anatomy you wish to contour. Advanced automation makes the process fast, simple and accurate.
- Achieve a high degree of automation and consistency
- Create your own templates for optimal accuracy
- Greater robustness compared to single-atlas approach
How it works
Existing data from the clinic database is used to create templates with multiple image sets – atlases. The geometries contained in each atlas can be manually contoured or generated with MBS.
New image data is segmented by locating the best-matching atlases through rigid image registration. For all matching atlases, a deformable registration is computed and the structures are deformed onto the new image set.
Segmentation results are merged to one result using a fusion algorithm. If MBS regions of interest are available in the template, they may be automatically adapted.