GE Healthcare gets USFDA clearance for deep learning-based CT image reconstruction technology
New Delhi: GE Healthcare has received 510(k) clearance from the U.S. Food and Drug Administration of its Deep Learning Image Reconstruction engine on its new Revolution Apex CT device and as an upgrade to its Revolution CT system in the United States.
As per a recent release by GE Healthcare, Deep Learning Image Reconstruction (DLIR) is the next generation image reconstruction option that uses a dedicated Deep Neural Network (DNN) to generate TrueFidelity CT Images. These TrueFidelity CT Images have the potential to improve reading confidence in a wide range of clinical applications such as head, whole body and cardiovascular, for patients of all ages.
Compared to current iterative reconstruction technology, TrueFidelity CT Images can elevate every image to a powerful first impression with impressive image quality performance, and preferred image sharpness and noise texture, without compromising dose performance.
“Physicians that have reviewed our new TrueFidelity CT Images consistently say they are among the best CT images they have ever seen, and our 510(k)-reader study also demonstrated this improvement,” said Scott Schubert, General Manager of Global Premium CT, GE Healthcare. “Revolution Apex delivers CT technology innovations including the Quantix 160 x-ray tube and Deep Learning Image Reconstruction, and we are pleased to bring these innovations as optional upgrades to our Revolution CT users as well.”
The FDA also granted 510(k) clearance to three additional GE Healthcare CT applications recently introduced at RSNA 2018: Bone VCAR, Thoracic VCAR with GSI Pulmonary Perfusion, and SnapShot Freeze 2.
Both Bone VCAR and SnapShot Freeze 2 are Edison applications. Edison is a platform that helps accelerate the development and adoption of AI technology and empower providers to deliver faster, more precise care.
Bone VCAR uses a deep-learning algorithm to automatically identify and label the vertebrae for faster spine assessment and improve reporting efficiency. SnapShot Freeze 2 is an intelligent motion correction algorithm that takes cardiac imaging to the next level by expanding the breadth of intelligent motion correction applications, further enhancing clinical performance and introducing whole heart motion correction.
Thoracic VCAR with GSI Pulmonary Perfusion provides automated segmentation and measurements for assessment and follow-up of thoracic diseases. It also now includes dedicated GSI Pulmonary Perfusion, a one-click protocol to assist in the identification of variations of relative perfusion distribution in the lungs. Thoracic diseases that may be associated with changes in perfusion include pulmonary embolism or chronic obstructive pulmonary disease (COPD).