@ARTICLE\{IMM2008-05732,
    author       = "M. Vester-Christensen and S. G. H. Erbou and M. F. Hansen and E. V. Olsen and L. B. Christensen and M. Hviid and B. K. Ersb{\o}ll and R. Larsen",
    title        = "Virtual dissection of pig carcasses",
    year         = "2008",
    journal      = "Meat Sience",
    volume       = "",
    editor       = "",
    number       = "",
    publisher    = "",
    note         = "doi:10.1016/j.meatsci.2008.11.015",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/5732-full.html",
    abstract     = "This paper proposes the use of computed tomography (CT) as a reference method for estimating the lean
meat percentage (LMP) of pig carcasses. The current reference is manual dissection which has a limited
accuracy due to variability between butchers. A contextual Bayesian classification scheme is applied to
classify volume elements of full body {CT-}scans of pig carcasses into three tissue types. A linear model
describes the relation between voxels and the full weight of the half carcass, which can be determined
more accurately than that of the lean meat content. Two hundred and ninety-nine half pig carcasses were
weighed and {CT-}scanned. The explained variance of the model was R2 ¼ 0:9994 with a root-meansquared
error of prediction of 83.6 g. Applying this method as a reference will ensure a more robust calibration
of sensors for measuring the {LMP,} which is less prone to variation induced by manual
intervention."
}