The Relationship Between Radiation Dose and Image Noise in Computed Tomography (CT) in Federal Teaching Hospital Birnin Kebbi (FTHBK)
Abstract
This study examined the relationship between radiation dose and image noise in computed tomography (CT) at the Federal Teaching Hospital, Birnin Kebbi (FTHBK). The aim was to develop an optimization framework that balances image quality and patient safety. Radiation dose parameters including CTDIvol, DLP, mAs, kVp, effective dose, and absorbed dose were analyzed using regression analysis. The mean CTDIvol was 26.1 mGy (±18.63), DLP was 1169 mGy·cm (±759), and absorbed dose was 0.003 Gy (±4.006). Results revealed moderate inverse correlations between dose indices and image noise: mAs (r = –0.65), CTDIvol (r = –0.61), absorbed dose (r = –0.60), effective dose (r = –0.58), DLP (r = –0.53), and kVp (r = –0.50). These findings indicate that higher radiation doses reduce image noise, but not proportionally. Variability in dose values suggests non-standardized scanning protocols. The study concludes that implementing automatic exposure control, iterative reconstruction, and scan range limitation can optimize dose and maintain diagnostic image quality under ALARA principles.
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