ABAS Atlas-based Autosegmentation

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Transcription:

ABAS Atlas-based Autosegmentation Raising contouring to the next level

Simultaneous Truth and Performance Level Estimation (STAPLE) Unique to ABAS, the STAPLE calculation is more robust than simple averaging. By applying several individual atlases, multiple segmentations of the same subject are achieved. The segmentations are then combined to create a final unique segmentation. This technique allows ABAS to excel at complex structure sets and improve result accuracy.

Single algorithm run. ABAS offers Accuracy User-definable atlases allow clinicians to select an atlas that accurately reflects a given patient in a given clinic. Patient-specific atlases can be generated to promote adaptive planning techniques that account for tumor regression and weight loss. Utilizing a unique, three-phased algorithm, ABAS goes through multiple phases of refinement for increased accuracy. This process results in significantly better initial results while taking into account the variability between patient and atlas. Additional post processing refinement further improves accuracy in complex structure sets. Flexibility A standalone, vendor-neutral product that communicates using standard DICOM file formats for both input and output, ABAS is compatible with any radiation treatment planning system. Fully customizable, ABAS segments each atlas, finding the best structure for each patient. ABAS includes a starter library of clinical expert atlases, but is completely user definable. Atlases can be set up to follow clinical protocols as well as interpatient variability and has no requirements for your library of atlases. And the library of atlases will grow with your practice, giving you an evolving set of tools to further enhance treatment regimens. 3

New contours and study set auto exported to Monaco Simplicity ABAS operates in the background of your existing treatment planning system, which means your staff uses a familiar user interface. ABAS does not require user interaction to apply contours, only the selection of the appropriate atlas. The DICOM service is easily configurable for import and export functionality, automatically sending results to the location of your choice. ABAS also offers convenient batch processing capabilities, allowing any number of new patient images to be contoured collectively at your discretion. Efficiency Optimize planning workflow with ABAS. Deformable registration algorithms morph contours from an existing anatomical atlas onto a new patient image set. The ABAS application saves physician and dosimetrist time by automatically contouring new image sets based on the anatomy defined in the atlas, which is always available for further edits and refinements. Studies have shown this process improvement offers up to 50 percent time savings over traditional manual contouring. With the cutting-edge GPU processing power of ABAS, this time is further reduced, allowing better contouring for more patients and improving the quality of their care. 4

Transverse, sagittal and coronal views of the RTS results from ABAS/3D view makes the contour lines thicker for easier viewing. Why ABAS? Overall workflow of atlas-based autosegmentation with multi-atlas fusion Improves efficiency, allowing for treatment of more patients Increases accuracy with STAPLE calculation Runs in the background and allows for batch processing Seamless workflow integration with multiple vendor compatibility Improves contouring consistency 5

High performance, true segmentation Manual contouring is a time-consuming component of the treatment planning process. ABAS produces an estimate of the anatomy boundary contours needed to create a radiation plan, significantly reducing the amount of time spent creating and editing patient contours by providing an advanced starting point. ABAS scans its library of previously defined reference images and applies specific elements of these forms onto a new patient image, creating a new structure set fit to the patient anatomy. 6

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