Image Quality Assessment of Abdominal CT by Use of New Deep Learning Image Reconstruction: Initial Experience

Corey T. Jensen, Xinming Liu, Eric P. Tamm, Adam G. Chandler, Jia Sun, Ajaykumar C. Morani, Sanaz Javadi, Nicolaus A. Wagner‐Bartak

American Journal of Roentgenology · 2020 · 222 citations · 25 references

Concepts

Abstract

Compared with 30% ASIR-V, DLIR improved CT evaluation of the abdomen in the portal venous phase. DLIR strength should be chosen to balance the degree of desired denoising for a clinical task relative to mild blurring, which increases with progressively higher DLIR strengths.

References

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