Elevating intelligence in Interventional Cardiology
Experience enhanced clarity with aEvolve Imaging, in real-time
Clear fluoroscopic imaging enhances confidence and can help improve clinical outcomes and procedural efficiency. αEvolve Imaging achieves high-quality images through Deep Learning*1-based noise reduction and multi-frequency processing.
αEvolve Imaging can deliver up to twice the CNR (Contrast-to-Noise Ratio) compared to conventional fluoroscopy in real-time, enabling a clear distinction of target objects from surrounding noise.
“αEvolve Imaging fluoroscopy makes it much easier to observe the vessel wall and grasp the spatial depth of the vessel.”
Dr. Hiroyoshi Yokoi
Fukuoka Sanno Hospital, Japan
Enhanced device visibility
98% of physicians agree that αEvolve Imaging enhances the visibility of device compared to the conventional image processing.*2
*1 αEvolve Imaging does not have a self-learning function that allows Alphenix to modify its own programs.
Therefore, training of the αEvolve Imaging algorithm is not conducted at the end user's site.
*2 Results obtained during a physician evaluation conducted in October and November 2024.
The tests involved 98 cardiologists from 9 countries, and the data was reviewed and analysed by an independent third-party research company.
DA-less intervention with αEvolve Imaging
Dose management is increasingly important, especially during long and complex procedures. Digital acquisition (DA) delivers significantly higher radiation dose than fluoroscopy. Therefore, replacing DA with fluoroscopy can substantially reduce radiation doses*1.
DA-equivalent image quality
96% of physicians agree that the αEvolve Imaging fluoro can achieve an image quality that can replace DA.*2
“We can significantly reduce the number of cine runs*3 by replacing them with αEvolve Imaging Fluoro recordings. This can potentially contribute to huge dose saving.”
Dr. Lukas Altwegg
St. Claraspital, Switzerland
*1 Hwang J, et al.(2015) Radiation Exposure in Coronary Angiography: A Comparison of Cineangiography and Fluorography.
*2 Results obtained during a physician evaluation conducted in October and November 2024.
The tests involved 98 cardiologists from 9 countries, and the data was reviewed and analysed by an independent third-party research company.
*3 Essentially the same as digital acquisition (DA).
Accurate Stenting with Dynamic Device Stabiliser (DDS)
Interventional Cardiologists face challenges with stent visualisation, device positioning and expansion. DDS utilises deep learning to automatically detect balloon markers in real-time, magnifying and stabilising the image on a separate screen to assist visualisation and assessment.
“Canon’s Dynamic Device Stabiliser technology has been a great addition to our department. Using deep learning it automatically detects balloon markers in real time, without any manual input. It is also available even with Fluoroscopy.“
Dr. Sanjeevan Pasupati
Interventional Cardiologist of the Department of Cardiology at Waikato Hospital, Hamilton, New Zealand.
Support Structural Heart Disease (SHD) treatment with Echo Fusion
Complexity in Structural Heart Disease is increasing, with new procedures requiring accuracy and efficiency. With intelligent Deep Learning technology, Echo Fusion automatically identifies the echocardiography probe and fuses the fluoroscopic image without additional operator input.
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Echo Fusion facilitates the communication between the interventional X-ray system and the ultrasound machine that are used in tandem for Structural Heart Disease (SHD) procedures.
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