title: Estimators of tissue proportions from X-ray CT images.
abstract: 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.
authors.affiliation: Biomathematics and Statistics Scotland, Edinburgh EH9 3JZ, Scotland. chris@bioss.ac.uk
authors.forename: C A
authors.initials: CA
authors.lastname: Glasbey
authors.forename: C D
authors.initials: CD
authors.lastname: Robinson
mesh_terms: D000273:Adipose Tissue / Q000033:anatomy & histology / Q000502:physiology; D000818:Animals; D001823:Body Composition; D001842:Bone and Bones / Q000033:anatomy & histology / Q000502:physiology; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D009132:Muscles / Q000033:anatomy & histology / Q000502:physiology; D009929:Organ Size; D012756:Sheep; D014057:Tomography, X-Ray Computed / Q000379:methods*