GE HealthCare’s TrueFidelity Deep Learning Image Reconstruction (DLIR) introduces an FDA-cleared deep neural network designed to overcome the limits of traditional filtered back-projection and iterative reconstruction. Trained on high-quality datasets, it intelligently reduces noise while preserving anatomical detail and natural image texture, enabling improved diagnostic confidence across head, body, cardiovascular, and pediatric imaging. Phantom and clinical studies show superior noise reduction, enhanced contrast-to-noise ratio, and better low-contrast detectability compared to legacy methods. With fast reconstruction speed for routine and acute care CT, DLIR supports lower radiation dose protocols without compromising image quality, advancing clinical outcomes.

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