Designed for Precise Cardiac Imaging
Cardiac CT serves as a cornerstone in coronary and cardiac assessment, where precision directly determines patient treatment. Yet imaging the heart often involves complex challenges—soft and mixed plaques, stent and in-stent lumen evaluation, as well as blooming artifacts—all of which can degrade image quality and obscure critical details.
To overcome these hurdles, we developed CardioBoost, a cardiac-specific deep-learning reconstruction algorithm particularly trained to enhance clarity in these challenging scenarios and elevate diagnostic confidence.