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Estimation of muscle volume by automated image analysis of spiral computed tomography scans in sheep

Published online by Cambridge University Press:  20 November 2017

C.A. Glasbey*
Affiliation:
Biomathematics & Statistics Scotland, King’s Buildings, Edinburgh, EH9 3JZ, Scotland
E. Navajas
Affiliation:
Scottish Agricultural College, Animal Biology Division, West Mains Road, Edinburgh, EH9 3JG, Scotland
K.A. McLean
Affiliation:
Scottish Agricultural College, Animal Biology Division, West Mains Road, Edinburgh, EH9 3JG, Scotland
A.V. Fisher
Affiliation:
The University of Bristol, Division of Farm Animal Science, Langford, Bristol BS40 5DU, U.K.
N.R. Lambe
Affiliation:
Scottish Agricultural College, Animal Biology Division, West Mains Road, Edinburgh, EH9 3JG, Scotland
G. Simm
Affiliation:
Scottish Agricultural College, Animal Biology Division, West Mains Road, Edinburgh, EH9 3JG, Scotland
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Extract

Computed Tomography (CT) is a non-invasive method used to provide accurate information on body composition of breeding animals. It is being applied in sheep breeding programmes in the UK to predict whole carcass composition in terms of muscle, fat, and bone. Previous studies established the equations to predict the total weights of muscle, fat and bone in different breeds from conventional CT scans. The average prediction accuracies were 92, 96 and 81% for muscle, fat and bone, respectively, in meat sheep and hill breed lambs (Young et al., 2001). Spiral CT scans provide a means of assessing directly the composition of the whole body and its different regions, in addition to muscularity and conformation. Although an automatic procedure to quantify the carcass components in cross-sectional images was developed previously, new software to segment images from spiral CT scans is now being evaluated. The aim of this study was to determine the accuracy of the automated image analysis in the estimation of total muscle volume of the hind leg, which is the most valuable joint.

Type
Theatre Presentations
Copyright
Copyright © The British Society of Animal Science 2004

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References

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