Traditional CT scans often struggle with image noise and blooming artifacts from calcium deposits, which can mask the true state of coronary arteries. The NAEOTOM Alpha circumvents these limitations by counting individual X-ray photons, resulting in high-resolution imagery that allows radiologists to visualize tiny vessels and characterize plaque with significantly higher accuracy. The system also exposes patients to lower radiation levels than conventional scanners.

To further refine diagnostic capabilities, the institute integrates HeartFlow FFRCT, an AI-driven platform that converts scan data into 3D models. This combination enables physicians to determine not only the presence of a blockage but also its physiological impact on blood flow. According to Dr. Vamsi Pavuluri, medical director of cardiac imaging operations at the Memorial Cardiac and Vascular Institute, this clinical clarity helps distinguish between patients requiring invasive interventions and those who can be managed through optimized medical therapy, potentially reducing the need for unnecessary cardiac catheterizations.