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 | Lung Imaging

Nov. 3, 2025 — RevealDx, a leader in the characterization of lung nodules, has introduced MDR Certification of RevealAI ...

Time November 07, 2025
arrow
Feature | Teleradiology | Kyle Hardner

Once viewed as a solution for after-hours coverage, teleradiology is rapidly expanding into a critical part of radiology ...

Time November 06, 2025
arrow
News | RSNA 2025

Nov. 4, 2025 — Altamont Software, a provider of enterprise medical connectivity solutions, has announced the ...

Time November 05, 2025
arrow
News | RSNA 2025

Oct. 31, 2025 — Echolight plans to demonstrate its bone density scanning technology at the Radiological Society of North ...

Time November 03, 2025
arrow
News | X-Ray

Oct. 30, 2025 – In collaboration with OBIO, University Health Network (UHN), Canada’s leading hospital and the No. 1 ...

Time November 03, 2025
arrow
News | Magnetic Resonance Imaging (MRI) | Children's Hospital Los Angeles

Oct. 28, 2025 — Bronchopulmonary dysplasia (BPD) is the most common — and most serious — complication of extreme ...

Time October 31, 2025
arrow
News | FDA

Oct. 30, 2025 — Sirona Medical has received U.S. Food and Drug Administration (FDA) 510(k) clearance for its Sirona ...

Time October 30, 2025
arrow
Feature | Archive Cloud Storage | Shujah Dasgupta, Vice President, CitiusTech

Almost two-thirds of health systems are already using (or plan to use) the cloud for storing and viewing medical images ...

Time October 30, 2025
arrow
News | Cardiac Imaging

Oct., 2025 — Elucid, an AI medical technology company focused on providing physicians with a more precise view of ...

Time October 29, 2025
arrow
News | Radiology Business | Harvey L. Neiman Health Policy Institute

Oct. 27, 2025 — A new study from the Harvey L. Neiman Health Policy Institute found that radiologists who experienced ...

Time October 28, 2025
arrow
Subscribe Now