AngioWaveNet™
AI Transforming Angiography
AngioWaveNet™ is a post-processing AI compatible with any fluoroscopic angiography system in a cardiac catheterization laboratory.
For patients with coronary artery disease poor image quality can make a correct diagnosis challenging. AngioWaveNet™ processed angiograms can facilitate visualization of the vasculature for all of fluoroscopic angiography.
AngioWaveNet STEP™:
AngioWaveNet utilizes spatiotemporal enhancement processing (STEP) to enhance visualization of the vasculature in fluoroscopic angiograms.
STEP utilizes a convolutional, spatiotemporal, deep neural network that is trained on thousands of angiographic frames to identify vascular physiology. AngioWaveNet STEP utilizes data in multiple angiographic frames, over time, combined with its knowledge of vascular physiology, as it processes each individual angiographic frame in the cine and enhances visualization of the vasculature.
Without AngioWaveNet™
Cine Angiogram
With AngioWaveNet™
Cine Angiogram with AngioWaveNet™ AI
How it Works
No Cart, No Hardware, No Downtime
Ease of use
AngioWaveNet™ has a very light footprint in the hospital environment. An applet on a Windows PC acts as a DICOM endpoint for the angiographic imaging system from any vendor. The AngioWaveNet Desktop Applet™ receives the DICOM cine, removes all identifying patient health information and routes the images to the AngioWaveNet Cloud™ platform for processing.
Once the AngioWaveNet Cloud™ has created a new, processed DICOM cine, the results are routed back to the AngioWaveNet Desktop Applet™ which re-unites the new cine with the patients PHI and routes the new cine to the display in the cardiac catheterization laboratory.
Deployment
Clinics and Hospitals
- Cloud – based or on premise / servers
- Our system needs to be a “DICOM endpoint” for the cardiac catheterization laboratory imaging system. DICOM = Digital Imaging and Communications in Medicine
- Results can be sent to a RIS/PACs for display in the cardiac catheterization laboratory.
- Vendor “agnostic” Philips, Siemens, GE, Canon, or any cardiac cath lab imaging system.






