Abstract

Radiation dose optimization is a critical component of modern diagnostic imaging, aimed at minimizing patient exposure while maintaining diagnostic image quality. This study evaluates the effectiveness of various radiation dose optimization protocols implemented in clinical practice. By analyzing data from multiple imaging modalities, including CT, X-ray, and fluoroscopy, we assess the impact of these protocols on dose reduction and image quality. We conducted a comprehensive review of existing dose optimization strategies, focusing on technological innovations, procedural adjustments, and protocol modifications. Our evaluation includes an analysis of dose reduction techniques, such as automatic exposure control, iterative reconstruction algorithms, and dose modulation strategies, as well as their influence on clinical outcomes. Our findings demonstrate that effective dose optimization protocols can significantly reduce radiation exposure without compromising diagnostic accuracy. The implementation of advanced technologies and adherence to standardized guidelines are key factors in achieving optimal dose management. Additionally, we identified best practices for integrating dose optimization protocols into routine clinical workflows and highlighted areas where further improvements can be made.