Estimators of Tissue Proportions from X‐Ray CT Images

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,...

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Bibliographic Details
Published in:Biometrics 2002-12, Vol.58 (4), p.928-936
Main Authors: Glasbey, C. A., Robinson, C. D.
Format: Article
Language:English
Subjects:
Adipose Tissue - anatomy & histology
Adipose Tissue - physiology
Adipose tissues
Animals
biometry
Body Composition
Body tissues
Bone and Bones - anatomy & histology
Bone and Bones - physiology
computed tomography
Computerized axial tomography
Estimation methods
Estimators
Histograms
Image analysis
Image Processing, Computer-Assisted - methods
Maximum likelihood
Maximum likelihood estimation
Mixed pixel distribution
Moment estimator
Muscles - anatomy & histology
Muscles - physiology
Organ Size
Pixels
Point spread functions
Proportions
Sheep
Threshold
Tomography, X-Ray Computed - methods
X-radiation
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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.
ISSN:0006-341X
1541-0420
DOI:10.1111/j.0006-341X.2002.00928.x