The application discloses a CT
dose self-
adaptive optimization system and method thereof, and belongs to the technical field of medical images, which comprises a CT
scanner, an image
data processing workstation, a high-risk
population analysis device, a
dose parameter self-
adaptive optimization device, a
dose parameter automatic adjustment device and an intelligent
learning unit, and based on the theory of information geometry, the dose parameter
optimization problem is promoted from the Euclidean space to the Riemannian manifold space, the dose parameter manifold and the
image quality manifold are constructed, the geodesic line is calculated on the manifold through the
Fisher information matrix as the Riemannian metric, and the optimal dose path is found. The
system adopts a double-manifold collaborative optimization mechanism, establishes a mapping relationship between the two manifolds, and realizes accurate optimization of parameters in combination with a geometric-guided
genetic algorithm, and through pre-scanning, high-risk
population analysis, information geometry optimization and automatic parameter adjustment, individualized dose control is realized, the
radiation dose is additionally reduced by 30-45% compared with a traditional method, the
image quality is maintained or improved, and the safety of
CT examination is remarkably improved.