Where deep learning
does its learning matters.

A deep learning image reconstruction application is only as good as the training it receives. GE Healthcare trained it's reconstruction engine using a library of thousands of low noise, filtered back projection (FBP) images considered the gold standard of image quality.

    Confidence. Not compromise.

    Compared with even the most sophisticated Model-Based Iterative Reconstruction, TrueFidelity CT Images are scanning taken to another level. Contrast visualization is maintained, noise and artifacts are minimized, edges are maintained—just enough—so there’s remarkable clarity and none of the compromise that comes with unfamiliar noise texture.1


    Testimonials


    Dhiraj Baruah, MD
    Froedtert & the Medical College of Wisconsin

    "Reduced noise in deep learning cardiac imaging allows for reduction in kVp while maintaining image quality."


    JB71408XX