Conference paper
Contextual Analysis of CT Scanned Pig Carcasses
Metal Structures in Four Dimensions, Materials Research Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark1
Materials Research Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark2
Risø National Laboratory for Sustainable Energy, Technical University of Denmark3
Image Analysis and Computer Graphics, Department of Informatics and Mathematical Modeling, Technical University of Denmark4
Department of Informatics and Mathematical Modeling, Technical University of Denmark5
Department of Photonics Engineering, Technical University of Denmark6
Knowledge of the weight of tissue types in pig carcasses is generally only available after manual dissection. The use of computed tomography (CT) has demonstrated to be a promising approach to gain knowledge on the lean meat weight (Romvari, 2005), but less effort has been put into gaining knowledge about the weight of other tissue types from CT.
Knowing the weight of individual tissue types will directly give access to other measures such as the weight of the carcass and the Lean Meat Percentage (LMP). Until now, most analyses of CT scans have been based on the Hounsfield spectra that does not consider the spatial context in CT scan. Applying contextual methods from the field of image analysis we hope to make a virtual dissection of pig carcasses.
Language: | English |
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Publisher: | Informatics and Mathematical Modelling, Technical University of Denmark, DTU |
Year: | 2006 |
Pages: | 207-208 |
Proceedings: | 52nd International Congress of Meat Science and Technology (ICoMST), |
Types: | Conference paper |
ORCIDs: | Larsen, Rasmus |