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Recent News Radiography MRI Ultrasound Nuclear Medicine General/Advanced Imaging Imaging IT Industry News

Scalable CT Platform Minimizes Technology Obsolescence

By MedImaging International staff writers
Posted on 20 Jan 2022
Image: The Revolution Apex platform (Photo courtesy of GE Healthcare)
Image: The Revolution Apex platform (Photo courtesy of GE Healthcare)
A new computerized tomography (CT) platform helps healthcare facilities keep up with technological advances while optimizing clinical capabilities and standardizing future workflows.

The GE Healthcare (Chicago, IL, USA) Revolution Apex platform offers built-in modular scalability for seamless CT detector upgrade, without needing to replace the gantry. The cornerstone of the platform is the Gemstone Clarity Detector, which enables users to update their service line from a 40 mm detector/0.28 second rotation speed, up to a large 160 mm/0.23 second per rotation speed. Regular software upgrades offer image tools, dose management, cybersecurity, service tools, and workflow enhancements, without needing a new user interface.

The Revolution Apex platform also offers Effortless Workflow, which utilizes artificial Intelligence (AI) technologies to streamline the entire CT process by automatically positioning patients with 94% auto centering, with an accuracy of +/- 2 cm; suggesting scan protocols with 90% accuracy; automating and expediting workflows with a 66% reduction in clicks; saving 56% of the time for scan settings and 21% for the entire exam; reducing up to 91% of image noise at the same dose; and improving spatial resolution by up to twice at the same image quality.

The Revolution Apex platform is equipped with GE Healthcare’s patented Quantix X-ray tube, which provides the output required to image all anatomies, regardless of patient size, without compromise on image quality. A key application of the technology is next-generation Gemstone Spectral Imaging, which reduces image noise in low energy monochromatic images to detect and assess small lesions. Revolution Apex also uses TrueFidelity deep learning image reconstruction, which uses a dedicated deep neural network to generate high-definition, low-noise CT images.

“Understanding that healthcare systems are challenged to keep up to date with the latest cutting-edge CT technologies, we developed a new modular solution that can grow with healthcare systems – so they have what they need, when they need it,” said Jean-Luc Procaccini, president and CEO of molecular imaging and CT at GE Healthcare. “Given the volatility of today’s healthcare environment, it makes sense to have a system that is scalable to meet today and tomorrow’s evolving CT needs.”

Twenty years ago, new CT technologies were introduced every four-to-five years; but today, new solutions are introduced annually, resulting in rapid obsolescence. This is largely due to the pace of innovation, which has greatly accelerated due to the speed and growth of modern engineering, AI, and cloud computing.

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