Tools to commission and QA deformable image registration from any RT platform.
ImSimQA™ software is unique. ImSimQA was developed due to the limitations of hard phantoms for testing modern radiation therapy and imaging software systems.
With the growth of advanced technologies such as deformable image registration, atlas-based auto contouring, adaptive RT, 4D planning and gating, it is clear that innovative tools are required for validation and QA.
ImSimQA provides extensive tools for generating infinite test image data, from any imported DICOM-3 images, and from virtual phantoms. Transformations, deformations and DICOM editing can be applied, and quantifiable analyses can be run on the results re-imported from clinical systems.
ImSimQA software was used to generate the phantoms for the AAPM Task Group 132 (TG-132) report and can be used to extend the number of phantoms used for deformable image QA.
ImSimQA v4 introduces a database that is responsible for importing DICOM data, virtual phantoms and deformation vector fields (DVFs). It offers users the option to login to the database with password protected logins and then import DICOM data, RTS and DVFs into the database for permanent storage. The stored data can be filtered and selected for direct processing into ImSimQA main or sent to the Image Registration QA wizard. When the processing in ImSimQA main is complete, the data is saved back to the ImSimQA database, exported to file or exported to a DICOM destination for viewing and continued use. The Image Registration QA wizard allows users to create automatic deformations in real CT images. These are executed in ImSimQA main and the results automatically saved in ImSimQA DB.
What’s new in v4.1
ImSimQA v4.1 introduces compatibility with Raystation’s proprietary DVF format and Elekta’s new ADMIRE® software. It also includes improved workflow with Velocity and the ability to display inverse DVFs.
Clinical applications that can be tested using ImSimQA
- Deformable image QA
- Image registration QA
- Auto contouring algorithms
- Adaptive RT
- 4D imaging and planning
- 3D margin growing, DRR accuracy, structure bifurcations
Work with UF Health Cancer Center - Orlando Health has led to the development of an additional library of 10 original and deformed synthetic head and neck phantoms created where the deformed dataset is based on actual anatomical changes seen during the radiotherapy treatment course. From these a ground truth deformable vector field (DVF) was created for each phantom. This allows the phantoms to be used to assess the accuracy and precision of the DIR algorithm in any available system, with clinically relevant data (Pukala et al, 2013). The 10 phantoms and ground truth DVFs are available for all ImSimQA current and new customers who have the ImSimQAdform and ImSimQAcontour modules.