Sam Brusco, Associate Editor04.19.21
Canon Medical Systems USA Inc.’s Deep Learning Spectral CT obtained 510(k) clearance for expanded cardiovascular application abilities. 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.
The Aquilion ONE / PRISM Edition integrates artificial intelligence technology to maximize conventional and spectral CT capabilities while providing deep clinical insights to help make more informed decisions across the patient’s care cycle. The fully integrated end-to-end workflow 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,” Erin Angel, managing director, CT Business Unit, Canon Medical Systems USA Inc. told the press. “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.”
The Aquilion ONE / PRISM Edition integrates artificial intelligence technology to maximize conventional and spectral CT capabilities while providing deep clinical insights to help make more informed decisions across the patient’s care cycle. The fully integrated end-to-end workflow 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,” Erin Angel, managing director, CT Business Unit, Canon Medical Systems USA Inc. told the press. “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.”
