TrueFidelity

A vision that pushes imaging further with deep learning and you.

Deep learning image reconstruction promises unparalleled benefits for patients, along with the radiologists and technologists dedicated to their care. And after nearly half a century at the forefront of computed tomography, GE Healthcare is uniquely positioned to ensure this latest advance keeps its promise.

GE Healthcare pioneered and consistently pushed the science of image reconstruction further. TrueFidelity CT Images are more than a radical, next-generation improvement. They elevate the vision of what you and TrueFidelity can achieve—together.

Introducing a new era
of image reconstruction.

deep learning image reconstruction

TrueFidelity images on a BMI 62 patient (400 lbs, 1.73 m)

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.

Designing

Creating layers of mathematical equations, a Deep Neural Network (DNN) that can handle millions of parameters.

Training

Inputting a high noise sinogram through the DNN and comparing the output image to a low noise version of the same image. These two images are compared across multiple parameters such as image noise, low contrast resolution, low contrast detectability, noise texture etc. The output image reports the differences to the network via backpropagation which trains and strengthens the DNN based on the desired output.

Verifying

The network is required to reconstruct clinical and phantom cases it has never seen before, including extremely rare cases designed to push the network to its limits, confirming its robustness.

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

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

Dhiraj Baruah, MD

Froedtert & the Medical College of Wisconsin

Dhiraj Baruah

"Revolution Apex with TrueFidelity images provides excellent image quality and contrast visulization even for this patient with a high BMI of 39."

Jean-Louis Sablayroles, MD

Center Cardiologique du Nord, Saint-Denis, Francia

Dhiraj Baruah

"Excellent CNR, lesion delineation, with improved texture and no plastic appearance in the image."

Naveen Kulkarni, MD

Froedtert & the Medical College of Wisconsin

Dhiraj Baruah

"The reduced noise and improved image quality in the epicardial fat allows for improved depiction of the outer wall of the coronary arteries, making it easier to detect positive remodeling of high risk plaque than with prior reconstruction methods."

James Earls, MD FSCCT

George Washington University Hospital

James Earls, MD FSCCT

"This is what a head CT image should look like and never did, even in the high dose era. Less noise, fewer artifacts and a pleasure to interpret."

Lawrence N. Tanenbaum, MD FACR

Radnet

James Earls, MD FSCCT

Image Gallery : Reconstruction Technology Comparison

See For Yourself

For current Revolution CT users: Contact your GE Healthcare representative to see your own images reconstructed using TrueFidelity.
It's time to get a closer look at a better way of seeing. Contact your GE Healthcare representative to learn more about GE Healthcare's TrueFidelity Images.

Resources

TrueFidelity Brochure

Download

Technical white paper on deep learning image reconstruction

Download

Deep Learning Glossary

Download

FOOTNOTES

1. As demostrated in a clinical evalution consisting of 60 cases and 9 physicians, where each case was reconstructed with both DLIR and ASiR-V and evaluated by 3 of the physicians. In 100% of the reads, DLIR's image sharpness was rated the same as or better than ASiR-V's. In 91% of the reads, DLIR's noise texture was rated better than ASiR-V's. This rating was based on each individual reader's preference.

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JB04212XX

Introducing a new era of image reconstruction.

Where deep learning does its learning matters.

Designing

Training

Verifying

Confidence. Not compromise.

Testimonials

Image Gallery : Reconstruction Technology Comparison

See For Yourself

Resources

Introducing a new era
of image reconstruction.

Where deep learning
does its learning matters.