INTRODUCING AQUILION ONE / PRISM EDITION
INNOVATE. ILLUMINATE. INITIATE.

Combining the power of Deep Learning Spectral Reconstruction with our Advanced intelligent Clear-IQ Engine (AiCE¹), we have created a CT system that is designed for deep intelligence. By seamlessly integrating AI, you can now access all the tools you need to automate your workflows, while capturing vital diagnostic information that will help define your patient’s medical care journey.

The Aquilion ONE / PRISM Edition features:

  • Wide-Area Detector CT now with Deep Learning Spectral¹
  • One rotation to acquire a whole heart
  • Stroke assessment in under 5 minutes²
  • Simple and streamlined CT Fluoroscopy

Click HERE to read more about the Aquilion ONE / PRISM Edition

1 Spectral and AiCE options pending 510(k) clearance
2 Volumetric Whole Brain Perfusion

AQUILION PRIME SP OFFERS ENHANCED WORKFLOW CAPABILITIES AND PREMIUM IMAGING TECHNOLOGY FOR EVERY PATIENT

From fast patient throughput to robust cardiac scanning and new diagnostic capabilities, the Aquilion Prime SP is a CT system of choice for all your imaging needs. Built with premium technology migrated straight from our high end CT, Aquilion Prime SP empowers your facility to handle all patients from pediatric to bariatric, even the most challenging cases, while providing all staff with a fast and efficient solution to make their work easy. The Aquilion Prime SP is now available with our latest Advanced intelligent Clear-IQ Engine (AiCE). AiCE is a cutting-edge Deep Learning Reconstruction technology that’s been trained to reduce noise and boost signal to deliver sharp, clear and distinct images at speed.
Click HERE to read more about our Aquilion Prime SP

ADVANCED INTELLIGENT CLEAR-IQ ENGINE (AICE)
AVAILABLE ON AQUILION PRECISION, AQUILION ONE
GENESIS, AQUILION ONE PRISM EDITION AND
AQUILION PRIME SP

Canon Medical’s Advanced Intelligent Clear-IQ Engine (AiCE) uses a deep learning algorithm to differentiate signal from noise so that it can suppress noise while enhancing signal. The algorithm forges a new frontier for CT image reconstruction with its ability to learn from the high image quality of Model Based Iterative Reconstruction (MBIR) to reconstruct CT images with improved spatial resolution and low contrast detectability.

With AiCE’s deep learning approach, thousands of features learned during training help to differentiate signal from noise for improved resolution. AiCE applies a pre-trained DCNN to enhance spatial resolution while simultaneously reducing noise with reconstruction speeds fast enough for busy clinical environments.

Click HERE to read more about AiCE

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