Calibration of CT Value Accuracy and Optimization of Image Reconstruction Algorithms in CT Power Supplies

In computed tomography (CT) systems, the power supply for the X-ray tube plays a decisive role in determining image quality and quantitative accuracy. Variations in high-voltage output directly influence the CT number, causing artifacts, noise, and contrast inconsistency. Maintaining a perfectly stable and predictable output under dynamic load is therefore critical for diagnostic precision.
The CT power supply employs a high-frequency inverter topology controlled by a digital signal processor that ensures tight synchronization between voltage and current loops. Real-time sampling of tube voltage and current enables the controller to correct for transients caused by gantry rotation or variable X-ray load conditions. This ensures that the emitted photon energy remains consistent throughout the scanning process.
A spectral feedback system measures the energy distribution of the X-ray beam in real time using a solid-state detector. The control system automatically compensates for spectral drift by adjusting pulse width and tube current, ensuring constant beam hardness. This spectral stability translates directly into consistent CT values across different scans.
Furthermore, image reconstruction algorithms are linked with power waveform telemetry data. By embedding timestamped voltage data within the acquisition stream, the reconstruction engine can correct for minor temporal energy fluctuations, reducing beam-hardening and streak artifacts. Deep-learning-based post-processing filters further suppress noise caused by minute power ripple effects.
These hardware-software co-optimization strategies increase CT density resolution by more than 10% and reduce the standard deviation of CT numbers by approximately 15%, providing both higher accuracy and improved image consistency.