Evaluation of positioning accuracy, radiation dose and image quality: artificial intelligence based automatic versus manual positioning for CT KUB
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View abstract on PubMed
Summary
This summary is machine-generated.Artificial Intelligence (AI) automatic positioning in CT KUB imaging improves accuracy and image quality while reducing radiation dose compared to manual methods. This AI approach enhances patient care and diagnostic effectiveness in radiology.
Area Of Science
- Radiology
- Medical Imaging
- Artificial Intelligence
Background
- Innovations in radiology enhance patient services.
- Artificial Intelligence (AI) aids in optimizing Computed Tomography (CT) imaging by reducing scan time, improving patient positioning, lowering radiation dose (RD), and enhancing image quality (IQ).
Purpose Of The Study
- To evaluate and compare the positioning accuracy, radiation dose (RD), and image quality (IQ) between AI-based automatic positioning (AP) and manual positioning (MP) techniques for CT kidney ureters and bladder (CT KUB) examinations.
Main Methods
- A prospective study involving 143 patients per group: manual positioning (MP) and AI-based automatic positioning (AP) for CT KUB.
- Standardized scanning protocols were used for both groups.
- Evaluation included off-center distance, RD, and quantitative/qualitative IQ parameters.
Main Results
- The AI-based AP group demonstrated significantly less patient off-center distance (9.66±6.361 mm) compared to the MP group (15.12±9.55 mm).
- A significant reduction in RD was observed in the AP group.
- The AP group showed lower image noise (IN), higher signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) (p<0.05).
- Qualitative IQ parameters, including IN, sharpness, and overall IQ, were significantly better in the AP group (p<0.05).
Conclusions
- AI-based automatic positioning offers superior positioning accuracy, reducing off-center distance by 44% compared to manual positioning.
- This AI approach leads to a 12% reduction in radiation dose (RD) and improved image quality (IQ) for CT KUB imaging.
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