Intended Use

Assist trained radiotherapy personnel by providing initial object contours of organs at risk in the brain on axial T1 contrast-enhanced brain MRI images during brain tumor radiation therapy treatment planning for adult patients.

Technology

The device uses deep learning neural networks to contour organs at risk in the brain on axial T1 contrast-enhanced MR images and exports contours as DICOM-RT objects. It also features a rigid image registration module for volumetric medical image data (e.g., MR, CT). The modules include image preprocessing, deep learning-based segmentation, postprocessing, and a workflow management module integrated within a PACS network.

Performance

Performance testing includes standalone evaluation of the AI-based segmentation algorithm demonstrating clinically acceptable contours for brain organs at risk, and testing of the registration algorithm across multiple modalities and institutions showing consistent performance. Verification and validation testing confirms software meets FDA guidance for radiation therapy planning software with no new potential risks.

Predicate Devices

No predicate devices specified

Device Timeline

  • 1

    Submission

    7/7/2021

    3 months
  • 2

    FDA Approval

    10/12/2021

Other devices from Vysioneer Inc.

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