We started by improving diagnoses for newborns and kids with heart defects. At the time, pediatric cardiovascular disease was diagnosed with ultrasound, which only offers a partial view of the heart with no blood flow quantifications. Or an MRI captured over grueling hours on the scanning table.
Without accurate quantification, cardiac medicine was an educated guess with a high error rate.
The solution was obvious: 4D Flow technology to visualize and quantify blood flow in mere minutes.
But image archiving servers in hospitals couldn’t read 4D Flow’s big data files. So we applied a system that could: cloud computer processing.
With cloud computing, we could put those life-saving 4D Flow images into radiologists hands. In mere moments, physicians could diagnose and make accurate treatment decisions.
Anyone with access to a web browser could access Arterys to quantify regurgitant flow and determine if a child with heart defects needed surgery.
We were helping to save kids’ lives with better diagnoses.
But we weren’t satisfied.
Even though we put 4D Flow at radiologists’ fingertips, we still saw physicians manually drawing contours to quantify the size of cardiac ventricles.