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

Sponsored Content | Videos | Artificial Intelligence

Digital solutions like AI and the cloud are driving innovation and transforming the way radiologists and imaging centers ...

Time August 18, 2022
arrow
News | Enterprise Imaging

August 17, 2022 — International medical imaging IT and cybersecurity company Sectra launched a new generation of its ...

Time August 17, 2022
arrow
News | X-Ray

August 17, 2022 — The Institute of Human Virology in Nigeria (IHVN) has announced their partnership with Fujifilm, the ...

Time August 17, 2022
arrow
News | Computed Tomography (CT)

August 15, 2022 — According to ARRS’ American Journal of Roentgenology (AJR), the combination of deep-learning ...

Time August 15, 2022
arrow
Feature | Radiology Business | By Melinda Taschetta-Millane

Did you know that Imaging Technology News (ITN) maintains more than 40 comparison charts of product specifications from ...

Time August 12, 2022
arrow
News | Radiology Education

August 11, 2022 — After a three-year break, this spring featured the return of the anticipated Canon Roadshow Events ...

Time August 11, 2022
arrow
News | Computed Tomography (CT)

August 11, 2022 — For the first time, researchers successfully captured CT images of an entire woolly mammoth tusk ...

Time August 11, 2022
arrow
News | RSNA

August 12, 2022 — Registration is now open for The Radiological Society of North American’s (RSNA) 2022 Conference ...

Time August 11, 2022
arrow
News | Radiology Imaging

August 11, 2022 — Bracco Imaging S.p.A. has announced the renewal of the “Bracco Fellowships” initiative, in partnership ...

Time August 11, 2022
arrow
News | Ultrasound Imaging

August 10, 2022 — Butterfly Network, Inc., a digital health company transforming care with handheld, whole-body ...

Time August 10, 2022
arrow
Subscribe Now