A review study on radiation dose reductions techniques and optimization techniques in Computed Tomography

Abstract

Computed Tomography (CT) uses sophisticated computation and X-rays to provide accurate cross sectional body imaging. It helps in identifying a variety of ailments, but for patient safety, careful radiation dosage optimization is needed. This research evaluates several CT imaging strategies for lowering radiation doses while maintaining image quality. These strategies include modifying technical parameters, applying post-processing techniques, tube current modulation, and organ based dose modulation, employing iterative reconstruction algorithms, putting AEC systems into place, and adjusting technical parameters. The paper outlines efficient CT dose reduction methods, optimizing dose delivery without compromising accuracy. Varying tube parameters like current, voltage, pitch, and rotation time are key. Automated exposure management and iterative reconstruction reduce noise while maintaining optimal dosages. Techniques such as organ-based and tube current modulation enhance dose efficiency based on anatomy. Low-dose protocols and post-processing methods, including iterative reconstruction and noise reduction, enhance image quality in low-dose scans. Minimize patient radiation in CT scans while preserving quality by adjusting parameters, improving reconstruction, and using low-dose protocols. Maintenance and staff training are crucial for success, prioritizing patient safety.