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What is Thin-Section DLR vs. HIR in CT Quality about?

This study evaluates the image quality of abdominopelvic CT scans using thin-section deep learning reconstruction (DLR) compared to thin- and thick-section hybrid iterative reconstruction (HIR). The findings indicate that 0.5-mm DLR images are preferred for subjective noise, sharpness, and overall quality, with significantly lower image noise than both 0.5-mm and 3.0-mm HIR images. The results suggest that DLR could potentially replace the current use of both thin- and thick-section HIR during clinical inte

Author

entashokdr

Language

EN