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Estimators of Tissue Proportions from X‐Ray CT Images
Author(s) -
Glasbey C. A.,
Robinson C. D.
Publication year - 2002
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.2002.00928.x
Subject(s) - estimator , moment (physics) , pixel , mathematics , maximum likelihood , range (aeronautics) , statistics , artificial intelligence , computer science , physics , materials science , classical mechanics , composite material
Summary. Estimators are derived of tissue proportions from X‐ray computed tomography (CT) images. These take into account that many pixels in such images are responses to mixtures of tissue types. The problem is motivated by an application involving estimation of sheep tissue weights. The standard estimator, a count of the number of pixels in a particular range of values, is compared with the maximum likelihood fit of a mixed‐pixel distribution and a moment‐based estimator. Both simulations and the application show the moment estimator to be best.