Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/20864
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLaurenson, Yanen
dc.contributor.authorMcPhee, Malcolm Jen
local.source.editorEditor(s): David McNeill, Alan Bellen
dc.date.accessioned2017-05-15T16:09:00Z-
dc.date.issued2014-
dc.identifier.citationExtended Abstracts of papers presented at the 8th International Workshop on Modelling Nutrient Digestion and Utilisation in Farm Animals, p. xxix-xxixen
dc.identifier.urihttps://hdl.handle.net/1959.11/20864-
dc.description.abstractIntramuscular fat (IMF) content is an important attribute determining meat quality, with higher contents of IMF resulting in the improved palatability of beef. Currently, IMF content is subjectively determined by visual appraisal of intramuscular fat deposits within the longissimus dorsi (i.e. marbling score). Chemical analysis (ether extraction) provides an objective determination of IMF content. However, this method is destructive and incurs significant financial and diuturnal costs. A number of automated image analysis systems for determining tissue composition from CT scan images have previously been proposed (Thompson and Kinghorn 1992; Alston et al. 2005), but as yet none are capable of estimating IMF content. This abstract outlines a framework for the quantification of IMF from CT scan images of deboned beef primal cuts.en
dc.languageenen
dc.publisherCSIRO Publishingen
dc.relation.ispartofExtended Abstracts of papers presented at the 8th International Workshop on Modelling Nutrient Digestion and Utilisation in Farm Animalsen
dc.relation.ispartofseriesAnimal Production Scienceen
dc.titleEstimating intramuscular fat content from CT scan imagesen
dc.typeConference Publicationen
dc.relation.conferenceMODNUT 2014: 8th International Workshop on Modelling Nutrient Digestion and Utilisation in Farm Animalsen
dc.subject.keywordsAnimal Productionen
local.contributor.firstnameYanen
local.contributor.firstnameMalcolm Jen
local.subject.for2008070299 Animal Production not elsewhere classifieden
local.subject.seo2008970107 Expanding Knowledge in the Agricultural and Veterinary Sciencesen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailylaurens@une.edu.auen
local.profile.emailmmcphee2@une.edu.auen
local.output.categoryE3en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20170316-165258en
local.date.conference15th - 17th September, 2014en
local.conference.placeCairns, Australiaen
local.publisher.placeAustraliaen
local.format.startpagexxixen
local.format.endpagexxixen
local.series.issn1836-5787en
local.series.issn1836-0939en
local.series.numberSpecial Issue Volume 54, Number 12en
local.contributor.lastnameLaurensonen
local.contributor.lastnameMcPheeen
dc.identifier.staffune-id:ylaurensen
dc.identifier.staffune-id:mmcphee2en
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:21057en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleEstimating intramuscular fat content from CT scan imagesen
local.output.categorydescriptionE3 Extract of Scholarly Conference Publicationen
local.relation.doi10.1071/ANv54n12abstractsen
local.conference.detailsMODNUT 2014: 8th International Workshop on Modelling Nutrient Digestion and Utilisation in Farm Animals, Cairns, Australia, 15th - 17th September, 2014en
local.search.authorLaurenson, Yanen
local.search.authorMcPhee, Malcolm Jen
local.uneassociationUnknownen
local.year.published2014-
local.subject.for2020300399 Animal production not elsewhere classifieden
local.subject.seo2020280101 Expanding knowledge in the agricultural, food and veterinary sciencesen
local.date.start2014-09-15-
local.date.end2014-09-17-
Appears in Collections:Conference Publication
School of Environmental and Rural Science
Files in This Item:
3 files
File Description SizeFormat 
Show simple item record

Page view(s)

1,414
checked on Jun 2, 2024
Google Media

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.