Deep Learning Spectral

The Aquilion ONE / PRISM Edition harnesses the temporal benefits of rapid kV switching with patient specific mA modulation and combines them with a Deep Learning Reconstruction that delivers excellent energy separation and low-noise properties.

What’s more, its fully integrated end-to-end workflow is easy to use and can be conveniently incorporated into your routine protocols.

Whitepaper
Deep Learning Spectral CT
– Faster, easier and more intelligent

Kirsten Boedeker, PhD, DABR, Senior Manager, Medical Physics^*1
Mariette Hayes, Global CT Education Specialist, Healthcare IT^*1
Jian Zhou, Senior Principal Scientist^*2
Ruoqiao Zhang, Scientist^*2
Zhou Yu, Manager, CT Physics and Reconstruction^*2

Diving into the Future of CT with Deep Learning Spectral Imaging

Prof. Catherine Roy of Strasbourg University Hospital explains how Aquilion ONE PRISM's Deep Learning Spectral Imaging delivers new diagnostic efficiencies.

Images can be delivered directly to your reading station, and with our range of new Vitrea applications, you can easily analyze comprehensive spectral data, including quantification and multi-layered images for a more detailed and definitive diagnosis.

Smartly developed, these applications provide a seamless solution from scan to diagnosis, and are scalable from a single workstation to a hospital-wide network, including PACS integration.