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A review of computed tomography and manual dissection for calibration of devices for pig carcass classification - Evaluation of uncertainty.
Olsen, Eli V; Christensen, Lars Bager; Nielsen, Dennis Brandborg.
Afiliação
  • Olsen EV; Danish Technological Institute, DMRI, Gregersensvej 9, DK-2630 Taastrup, Denmark. Electronic address: evo@dti.dk.
  • Christensen LB; Danish Technological Institute, DMRI, Gregersensvej 9, DK-2630 Taastrup, Denmark.
  • Nielsen DB; Danish Technological Institute, DMRI, Gregersensvej 9, DK-2630 Taastrup, Denmark.
Meat Sci ; 123: 35-44, 2017 Jan.
Article em En | MEDLINE | ID: mdl-27614178
ABSTRACT
Online pig carcass classification methods require calibration against a reference standard. More than 30years ago, the first reference standard in the EU was defined as the total amount of lean meat in the carcass obtained by manual dissection. Later, the definition was simplified to include only the most important parts of the carcass to obtain a better balance between accuracy and cost. Recently, computed tomography (CT) obtained using medical X-ray scanners has been proposed as a reference standard. The error sources of both traditional (manual) dissection methods and the new methods based on images from CT scanning of pig carcasses are discussed in this paper. The uncertainty resulting from the effect of various error sources is estimated. We conclude that, without standardisation, the uncertainty is considerable for all the methods. However, methods based on volume estimation using CT and image analysis might lead to higher accuracy if necessary precautions are taken with respect to measuring protocol and reference materials.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Dissecação / Carne Vermelha Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Dissecação / Carne Vermelha Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2017 Tipo de documento: Article