Dynamic correction of dual energy X-ray absorptiometry images improves chain speed prediction of lamb composition in abattoirs

S.L. Connaughton; A. Williams; F. Anderson; K.R. Kelman; G.E. Gardner

doi:10.1016/j.animal.2024.101171

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Dynamic correction of dual energy X-ray absorptiometry images improves chain speed prediction of lamb composition in abattoirs

Journal article

Open access

Peer reviewed

Dynamic correction of dual energy X-ray absorptiometry images improves chain speed prediction of lamb composition in abattoirs

S.L. Connaughton, A. Williams, F. Anderson, K.R. Kelman and G.E. Gardner

Animal (Cambridge, England), Vol.18(6), 101171

2024

DOI: https://doi.org/10.1016/j.animal.2024.101171

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Abstract

adjustment

calibration

composition

Dual Energy X-ray Absorptiometer

sheep

A prototype, on-line Dual Energy X-ray Absorptiometer (DXA) has shown high precision of prediction of carcass composition for the purpose of improved sheep meat grading in the Australian lamb supply chain, albeit with small inaccuracies over time. These inaccuracies were present across hours, and more significantly across days, which were unacceptable for any accreditation of this device as an objective carcass measurement tool in Australia. This inaccuracy demanded the creation of a novel image processing algorithm for the prototype DXA. This DXA was tested for repeatability of predictions of lamb carcass composition over minutes, hours, and days, using two developed image processing algorithms. There was high immediate repeatability for both algorithms when predicting lean muscle % in 40 lamb carcasses, with a maximum coefficient of variation of 0.65% over five repeated scans. There was a decrease in the coefficient of variation of the prediction of lean muscle % of 30 lambs scanned three times over a 48-hour period from 5.93% to 1.19% when the superior algorithm was used. The inaccuracies of lean muscle % predictions were associated with increases in the unattenuated space pixel values in DXA images. Improvements of the current algorithm is required to demonstrate repeatability over time for the purpose of accreditation within the Australian sheep meat industry, and for possible expansion of this technology into international supply chains.

Details

Title: Dynamic correction of dual energy X-ray absorptiometry images improves chain speed prediction of lamb composition in abattoirs
Authors/Creators: S.L. Connaughton
A. Williams
F. Anderson - Murdoch University, Centre for Animal Production and Health
K.R. Kelman - Murdoch University, Centre for Animal Production and Health
G.E. Gardner - Murdoch University, Centre for Animal Production and Health
Publication Details: Animal (Cambridge, England), Vol.18(6), 101171
Publisher: Elsevier B.V. on behalf of The Animal Consortium.
Identifiers: 991005672969307891
Murdoch Affiliation: School of Agricultural Sciences
Language: English
Resource Type: Journal article

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Citation topics: 5 Physics; 5.221 Nuclear Instruments; 5.221.1230 Mass Attenuation Coefficient
Web Of Science research areas: Agriculture, Dairy & Animal Science; Veterinary Sciences
ESI research areas: Plant & Animal Science