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 analyzed 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 analyzed by an independent third-party research company.
*3 Essentially the same as digital acquisition (DA).

Accurate Stenting with Dynamic Device Stabilizer (DDS)

Interventional Cardiologists face challenges with stent visualization, device positioning and expansion. DDS utilizes deep learning to automatically detect balloon markers in real-time, magnifying and stabilizing the image on a separate screen to assist visualization and assessment.

“Canon’s Dynamic Device Stabilizer 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.

Cookies: We are sorry we can’t show you this video – as matter of your Cookies preferences. Accept here the Targeting Cookies to watch the video content.

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.