GE Healthcare

Brochure

How the best see even better. Welcome to the latest advancement of TrueFidelity CT Images.

Video

How did GE train the deep neural network to create the deep learning image reconstruction engine?

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Image Gallery

Compare FBP to TrueFidelity images.

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Resources

Learn more about TrueFidelity Deep Learning Image Reconstruction.

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Infographic

100% of radiologists would recommend TrueFidelity Images to a colleague.

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Testimonials

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

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TrueFidelity for Single Energy: Revolution Apex Chest Imaging

TrueFidelity for Single Energy: Revolution Apex 70 kV 1-Beat Cardiac Imaging

TrueFidelity for Single Energy: Revolution CT Body Imaging

TrueFidelity for Single Energy: Revolution EVO Gen 3 Neuro Imaging

TrueFidelity for Single Energy: Revolution EVO Gen 3 Abdomen Pelvis Imaging

TrueFidelity for Single Energy: Revolution EVO Gen 3 Chest Imaging

TrueFidelity for Single Energy: Revolution Apex Obese Patient Imaging (BMI 42)

TrueFidelity for Single Energy: Revolution CT Metal Artifact Reduction

TrueFidelity for GSI: Revolution Apex Arterial Phase Abdomen

TrueFidelity for GSI: Revolution Apex Arterial Phase Abdomen

TrueFidelity for GSI: Revolution Apex Arterial Phase Pancreas

TrueFidelity for GSI: Revolution Apex Metastatic Gastric Carcinoma BMI 33

TrueFidelity for GSI: Revolution Apex Rectal Cancer with Liver Mets

TrueFidelity for GSI: Revolution Apex Bowel Ischemia

TrueFidelity for GSI: Revolution Apex 40 BMI- Pancreatic Cancer

TrueFidelity For Single Energy

TrueFidelity for GSI

Learn how TrueFidelity Deep Learning Image Reconstruction generates uncompromised CT images with remarkable clarity.

Whitepaper

A new era of image reconstruction: TrueFidelity™ Technical white paper on deep learning image reconstruction

GE Healthcare’s deep learning image reconstruction (DLIR) is the first Food and Drug Administration (FDA) cleared technology to utilize a deep neural network-based recon engine to generate high quality TrueFidelity computed tomography (CT) images. DLIR opens a new era for CT-image reconstruction by addressing challenges of filtered back-projection (FBP) and iterative reconstruction (IR).

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Case Study

Universitätsklinikum Jena Hospital Accelerates CT Workflow in Time-Sensitive ER

Universitätsklinikum Jena (UKJ) is a 200-year-old academic research facility in Germany where scientists and physicians from more than 25 nations are involved in biomedical and patient-related clinical research. This is Universitätsklinikum Jena’s independent experience with deep learning image reconstruction.

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Case Study

Customer Experience: University of Wisconsin-Madison Advances CT Protocols with Deep Learning Image Reconstruction Technique

University of Wisconsin-Madison is home to the world's largest medical physics department. That technical knowledge is put to use by UW-Madison’s Department of Radiology’s CT protocol optimization team, a group well-known for developing and modifying CT imaging protocols validated in academic, rural, clinic, and hospital settings: for clinical indications including head, whole body, cardiac and vascular CT applications. This Article is based on University of Wisconsin-Madison's experience with deep learning image reconstruction.

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The Radiologist's Perspective* on TrueFidelity™

Outstanding detail and
texture without compromise

FBP

ASiR-V™ 50%

TrueFidelity image

FBP

ASiR-V™ 50%

TrueFidelity image

Deep learning image reconstruction is the next generation image reconstruction option that uses a dedicated deep neural network to generate TrueFidelity CT Images

100%

have identified using TrueFidelity Images as an excellent experience^*

100%

would recommend TrueFidelity Images to a colleague^*

8/10

thought that using TrueFidelity Images can increase their diagnostic confidence^*

93%

said it can reduce eye strain and 73% believe it could possibly reduce fatigue^*

100%

preferred TrueFidelity™ noise texture compared to ASiR-V™ ^*

100%

indicated that learning to interpret TrueFidelity images was a simple process and the average training time was one week^*

© General Electric Company.
GE, the GE Monogram, ASiR-V and TrueFidelity are trademarks of the General Electric Company.
*Based on online survey responses analyzed from 15 radiologists currently using TrueFidelityTM in their clinical practice. No financial incentives or conflicts exist between GEHC and the survey participants.

“We view TrueFidelity GSI as the power of spectral imaging strengthened by Deep Learning. As shown in this lung cancer case, the images are very clean even down to 40 keV.”

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Discover how TrueFidelity is helping improve the CT experience.

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