Determination of the lean meat percentage of pig carcasses using magnetic resonance imaging

被引:43
作者
Collewet, G
Bogner, P
Allen, P
Busk, H
Dobrowolski, A
Olsen, E
Davenel, A
机构
[1] Irstea, Food Proc Engn Res Unit, F-35044 Rennes, France
[2] Fac Anim Sci, Inst Diagnost Imaging, H-7400 Kaposvar, Hungary
[3] TEAGASC, Natl Food Ctr, Meat Technol Dept, Dublin 15, Ireland
[4] Danish Meat Res Inst, DK-4000 Roskilde, Denmark
[5] Bundesanstalt Fleischforsch, D-95326 Kulmbach, Germany
关键词
magnetic resonance imaging; pig carcass grading; image segmentation;
D O I
10.1016/j.meatsci.2005.02.005
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
The purpose of Workpackage 3 of the European Eupigelass project was to test indirect methods of measuring the lean meat percentage of a carcass that would be less costly, at least as accurate and more consistent than dissection. Magnetic resonance imaging was one of the three indirect methods tested to measure the lean meat weight and the lean meat percentage of pig carcasses, the other methods being X-ray CT and vision techniques. One hundred and twenty carcasses from three different genotypes and from both sexes were slaughtered. The left parts of the carcasses were fully dissected and the right parts were investigated with an indirect method using a 1.5T MR1 system. The acquisition protocol was chosen to give an optimized contrast between fat and muscle tissues. Two different approaches, image segmentation and PLS regression, were used to extract information from the images. Automatic image segmentation was performed to quantify the volume of muscle in the images and gave a standard error of prediction using a linear regression with the dissection of the left half carcasses of 586 g and 1.10% for lean meat weight and lean meat percentage, respectively. PLS regression using the signal intensities histograms gave an estimation error of 465 g for lean meat weight. These results showed that MRI could be used in place of full dissection for authorizing and monitoring classification equipment of pig carcasses. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:563 / 572
页数:10
相关论文
共 16 条
[1]   PLS regression methods [J].
Höskuldsson, Agnar .
Journal of Chemometrics, 1988, 2 (03) :211-228
[2]   Magnetic resonance imaging for the in vivo determination of body composition in animal science [J].
Baulain, U .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 1997, 17 (02) :189-203
[3]  
Baulain U, 1998, ZUCHTUNGSKUNDE, V70, P205
[4]   Correction of intensity nonuniformity in spin-echo T1-weighted images [J].
Collewet, G ;
Davenel, A ;
Toussaint, C ;
Akoka, S .
MAGNETIC RESONANCE IMAGING, 2002, 20 (04) :365-373
[5]  
DAUMAS G, 1998, 44 ICOMST SPAIN, P946
[6]   Estimation of poultry breastmeat yield:: magnetic resonance imaging as a tool to improve the positioning of ultrasonic scanners [J].
Davenel, A ;
Seigneurin, F ;
Collewet, G ;
Rémignon, H .
MEAT SCIENCE, 2000, 56 (02) :153-158
[7]   Quality of pig adipose tissue: relationship between solid fat content and lipid composition [J].
Davenel, A ;
Riaublanc, A ;
Marchal, P ;
Gandemer, G .
MEAT SCIENCE, 1999, 51 (01) :73-79
[8]   Magnetic resonance mapping of solid fat content of adipose tissues in meat [J].
Davenel, A ;
Marchal, P ;
Riaublanc, A ;
Gandemer, G .
ADVANCES IN MAGNETIC RESONANCE IN FOOD SCIENCE, 1999, (231) :272-279
[9]   USING CANNY CRITERIA TO DERIVE A RECURSIVELY IMPLEMENTED OPTIMAL EDGE DETECTOR [J].
DERICHE, R .
INTERNATIONAL JOURNAL OF COMPUTER VISION, 1987, 1 (02) :167-187
[10]   VALIDATION OF THE INVIVO MEASUREMENT OF ADIPOSE-TISSUE BY MAGNETIC-RESONANCE-IMAGING OF LEAN AND OBESE PIGS [J].
FOWLER, PA ;
FULLER, MF ;
GLASBEY, CA ;
CAMERON, GG ;
FOSTER, MA .
AMERICAN JOURNAL OF CLINICAL NUTRITION, 1992, 56 (01) :7-13