Intended Use

The deep learning based Max Field-of-View (MaxFOV 2) is a CT image reconstruction method intended to produce images of the head and whole-body using Axial, Helical, and Cine acquisitions.

Technology

MaxFOV 2 applies a deep learning (CNN) algorithm to extend the CT display field of view (DFOV) beyond the scan field of view (SFOV), allowing visualization up to 80 cm. The software works across multiple GE CT scanner platforms and does not require hardware changes, improving upon the predicate Wide View option by using deep learning.

Performance

Extensive non-clinical (bench) tests using phantoms evaluated skin contour accuracy, CT number accuracy, and image quality on multiple GE CT systems, demonstrating consistent and acceptable performance. Clinical testing included a reader study of 49 CT exams scored by five external radiologists for depiction of skin surface, tissue density, and image quality, supporting substantial equivalence to predicate devices.

Predicate Devices

No predicate devices specified

Device Timeline

  • 1

    Submission

    12/11/2020

    2 months
  • 2

    FDA Approval

    3/2/2021

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