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Comparison of patient size‐based methods for estimating quantum noise in CT images of the lung
Author(s) -
Li Xiang,
Samei Ehsan
Publication year - 2009
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.3058482
Subject(s) - noise (video) , subtraction , quantum noise , water equivalent , image noise , mathematics , radiology , nuclear medicine , medicine , physics , computer science , artificial intelligence , image (mathematics) , quantum , arithmetic , quantum mechanics , meteorology , snow
The authors explored four methods for estimating quantum noise in CT images of the lung, each based on a different definition of patient size (water‐equivalent diameter) and the relationship between noise and diameter determined in water phantoms. The accuracies of the four methods were evaluated using an image‐subtraction method as a gold standard. Noise estimates based on patient sizes derived from chest area, water‐equivalent area, non‐lung area, and water‐equivalent path length had maximum errors of 229%, 93%, 34%, and 57%, respectively. Considering the magnitude of noise variation across the lung volume ( ∼ 30 % ) , noise estimate based on non‐lung area was reasonably accurate.