Clinical evaluation of a new adaptive iterative metal artifact reduction method in whole-body low-dose CT skeletal survey examinations.

Skeletal Radiology
Zaiyang LongJoel G Fletcher

Abstract

To evaluate a new adaptive iterative metal artifact reduction algorithm (AiMAR) in whole-body low-dose CT (WBLDCT) skeletal survey examinations. Projection data were retrospectively obtained from 25 clinical WBLDCT skeletal survey patients, each with two types of metal implants. Images were reconstructed with bone and soft tissue kernels using four settings-original and AiMAR with strengths of 2, 4, and 5. All images were anonymized and randomized for a reader study, where three musculoskeletal radiologists independently determined the overall ranking of all series based on diagnostic quality, and local scoring of metal artifact and anatomy visualization for each implant. Quantitative image noise analysis was performed in areas close to the implants. Intraclass correlation coefficients (ICC) and Krippendorff's alpha were computed for inter-rater reliability. AiMAR 4 was ranked the highest for 64.3% of the series across eight types of implants. For local scoring task, AiMAR 4 showed better metal artifact and anatomy visualization than the original and AiMAR 2. AiMAR 4 was comparable in anatomy visualization but inferior to AiMAR 5 in metal artifact scores. AiMAR 4 led to 56.3% noise reduction around the implant areas compared wi...Continue Reading

References

Nov 26, 2010·Medical Physics·Esther MeyerMarc Kachelriess
Apr 10, 2012·Medical Physics·Esther MeyerMarc Kachelrieß
Jan 15, 2015·Physics in Medicine and Biology·Jessie Y HuangStephen F Kry
Aug 8, 2015·AJNR. American Journal of Neuroradiology·A L KotsenasJ G Fletcher
May 12, 2018·Journal of Applied Clinical Medical Physics·Zaiyang LongLifeng Yu

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