The physical properties of the existing plan can thus be easily investigated if unexpected differences in the biological response are observed between different plans. The biological tools are integrated into the plan evaluation module. This makes it possible to configure optimization problems that more closely describe the clinical intentions, such as minimizing normal tissue complication probabilities subject to a guaranteed homogenous target dose within a specified standard deviation.Įvaluation tools include Tumor Control Probability (TCP) and Normal Tissue Complication Probability (NTCP) models which can be combined with tissue repair and tumor growth models. Optimization tools enable direct optimization on the biological indices in combination with physical dose indices. There are tools for both biological optimization and evaluation. The philosophy is to use biological models to reveal effects that are difficult to understand from the dose distribution alone. ![]() The use of radiobiological response models brings the planning process closer to the intent to create a plan with the highest possible probability of curing the patient while keeping the risk of complications to the surrounding healthy tissue as low as possible. Radiobiological optimization and evaluation If MBS regions of interest are available in the template, they may be automatically adapted. Segmentation results are merged to one result using a fusion algorithm. For all matching atlases, a deformable registration is computed and the structures are deformed onto the new image set. New image data is segmented by locating the best-matching atlases through rigid image registration. The geometries contained in each atlas can be manually contoured or generated with MBS. Greater robustness compared to single-atlas approachĮxisting data from the clinic database is used to create templates with multiple image sets – atlases.Create your own templates for optimal accuracy.Achieve a high degree of automation and consistency.Advanced automation makes the process fast, simple and accurate. RayStation uses in-house deformable registration algorithms to propagate contours from multiple datasets to the anatomy you wish to contour. In addition, multiple atlases can be fused for increased accuracy. It’s fast and easy to build your own atlas templates with both anatomical and derived structures. Multi-atlas-based segmentation (MABS) lets you use multiple atlas templates to automatically contour the patient. Multi-atlas based segmentation in RayStation Safety and performance information Ra圜areĭeep Learning planning model catalogue Flip PDFĭeep Learning Segmentation Model catalogue Flip PDF ![]() Safety and performance information RayStation
0 Comments
Leave a Reply. |