News | Cardiac Imaging | April 21, 2021

Aquilion One/Prism Edition now offers AI powered spectral capabilities for cardiac exams

Spectral DLR enables improved assessment of lumen stenosis in the presence of calcified plaque. Interactive monochromatic image display enables improved opacification of the injected contrast with low keV images and reduced calcium blooming artifacts with high keV images

Spectral DLR enables improved assessment of lumen stenosis in the presence of calcified plaque. Interactive monochromatic image display enables improved opacification of the injected contrast with low keV images and reduced calcium blooming artifacts with high keV images. The range of monochromatic energy levels (35-135 keV) can be visualized in real time through an image slider in the application that can be integrated in to a PACS.


April 21, 2021 — Meeting the growing cardiovascular needs of healthcare providers today, Canon Medical Systems USA, Inc. announced that its Deep Learning Spectral CT has received 510(k) clearance for expanded capabilities into cardiovascular applications. Available on the company’s Aquilion ONE / PRISM Edition CT system, healthcare providers can now acquire whole-heart spectral images in one beat thanks to the system’s 16 cm wide area detector, 0.275 second whole-heart acquisition with rapid kVp switching and Deep Learning Spectral Reconstruction.

Designed for deep intelligence, the Aquilion ONE / PRISM Edition integrates artificial intelligence (AI) technology to maximize conventional and spectral CT capabilities while providing deep clinical insights to assist physicians in making more informed decisions across the patient’s care cycle. To make it even easier for clinicians, the fully integrated end-to-end workflow is easy to use and can be incorporated into routine protocols.

“By integrating AI into spectral imaging, Canon Medical is bringing innovative technology to the market that can make an immediate impact for clinicians, empowering them to make definitive diagnoses,” said Erin Angel, managing director, CT Business Unit, Canon Medical Systems USA, Inc. “With Deep Learning Spectral CT, we have leveraged the power of AI to overcome several of the barriers that are otherwise associated with dual energy and spectral imaging.”

For more information: www.us.medical.canon


Related Content

News | Radiology Business

Jan. 6, 2026 — DirectMed Imaging, a portfolio company of Frazier Healthcare Partners, has acquired Tri-Imaging Solutions ...

Time January 06, 2026
arrow
News | Stroke

Dec. 18, 2025 — Brainomix, a provider of AI-powered imaging biomarkers for stroke and lung fibrosis, has announced ...

Time December 24, 2025
arrow
News | Information Technology

Dec. 16, 2025 — McCrae Tech has launched the world’s first health AI orchestrator called Orchestral. It is a health ...

Time December 23, 2025
arrow
News | RSNA 2025

Dec. 12, 2025 — At RSNA 2025, United Imaging Intelligence (UII), the AI-focused subsidiary of United Imaging Group ...

Time December 17, 2025
arrow
News | Breast Imaging

Dec. 16, 2025 — Hologic, Inc, a medical technology company dedicated to improving women’s health, recently announced new ...

Time December 16, 2025
arrow
News | Artificial Intelligence

Dec. 1, 2025 — Researchers at the University of California, Berkeley and University of California, San Francisco have ...

Time December 10, 2025
arrow
News | Cardiac Imaging

Nov. 30, 2025 – Ascend Cardiovascular, a provider of purpose-built enterprise imaging for cardiology, and Konica Minolta ...

Time December 09, 2025
arrow
Feature | Radiation Oncology | Kyle Hardner

Genomics has guided personalized cancer treatments for the past two decades. Now, AI biomarkers are expanding the field ...

Time December 09, 2025
arrow
News | Computed Tomography (CT)

A new study shows large increases in the use of computed tomography (CT) scans of the head in emergency departments ...

Time December 05, 2025
arrow
News | PACS

Nov. 30, 2025 — Fujifilm Healthcare Americas Corp. has launched Synapse One, a comprehensive, tailor-made workflow ...

Time December 04, 2025
arrow
Subscribe Now