Quantification of muscle, subcutaneous fat and intermuscular fat in pig carcasses and cuts by magnetic resonance imaging

Meat Science

Volumn 72, Issue 1, 2006, Pages 146-154

  Monziols, M ^a   Collewet, G ^a   Bonneau, M ^a   Mariette, F ^a   Davenel, A ^a   Kouba, M ^a,b  

^a CEMAGREF   (France)

^b AGROCAMPUS OUEST   (France)

Author keywords

Carcass; Intermuscular fat; Magnetic resonance imaging; Muscle; Pig; Subcutaneous fat

Indexed keywords

SUS SCROFA;

EID: 27144524084     PISSN: 03091740     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.meatsci.2005.06.018     Document Type: Article

References (23)

1. U. Baulain Magnetic resonance imaging for the in vivo determination of body composition in animal science Computers and Electronics in Agriculture 17 1997 189 203
2. U. Baulain, and H. Henne Variation of lean content in pig bellies of dam lines Archiv Fur Tierzucht-Archives of Animal Breeding 42 1999 593 600
3. U. Baulain, and M. Henning Studies of carcass and meat quality by means or MR tomography and MR spectroscopy Archiv Fur Tierzucht-Archives of Animal Breeding 44 2001 181 192
4. U. Baulain, M. Henning, and E. Kallweit Determination of body composition in German Landrace pigs of various ages by means of MRI Archiv Fur Tierzucht-Archives of Animal Breeding 39 1996 431 440
5. U. Baulain, M. Henning, E. Tholen, W. Wittmann, and A. Peschke Objective methods for estimation of the lean meat content of pig belly 2nd communication: utilization of scans from MR-imaging Zuchtungskunde 70 1998 205 212
6. U. Baulain-Neustadt, M. Wiese, E. Tholen-Bonn, R. Horeth-Kulmbach, and K.H. Hoppenbrock Magnetic resonance tomography as a reference technique to determine body composition in pig performance testing Fleischwirtschaft 84 2004 101 104
7. G. Collewet, P. Bogner, P. Allen, H. Busk, A. Dobrowolski, and E. Olsen Determination of lean meat percentage of pig carcasses using magnetic resonance imaging Meat Science 70 2005 563 572
8. Davenel, A., Marchal, P., Riaublanc, A., & Gandemer, G. (1999). MR mapping of solid fat content of adipose tissues in meat. In Chemistry, T.R.S.o. (Ed.) Advances in magnetic resonance in food science (pp. 272-279), Cambridge, U.K.
9. R. Deriche Using Canny's criteria to derive a recursively implemented optimal edge detector International Journal of Computer Vision 1 1987 167 187
10. P.A. Fowler, M.F. Fuller, C.A. Glasbey, G.G. Cameron, and M.A. Foster Validation of the in vivo measurement of adipose-tissue by magnetic-resonance- imaging of lean and obese pigs American Journal of Clinical Nutrition 56 1992 7 13
11. M.F. Fuller, P.A. Fowler, G. McNeill, and M.A. Foster Imaging techniques for the assessment of body-composition Journal of Nutrition 124 1994 S1546 S1550
12. M. Kouba, M. Bonneau, and J. Noblet Relative development of subcutaneous, intermuscular, and kidney fat in growing pigs with body compositions Journal of Animal Science 77 1999 622 629
13. Maleyran-Toussaint, C. A. (2002). Appréciation de la quantité et de la répartition des tissus adieux et musculaires dans les produits animaux par imagerie par résonance magnétique nucléaire, Thèse en sciences agro-alimentaires. Faculté des sciences et techniques (pp. 1-171), Nantes, France.
14. A. Metayer, and G. Daumas Estimation par découpe de la teneur en viande maigre des carcasses de porc Journées de la recherche porcine en France 1998 7 11
15. A.D. Mitchell, A.M. Scholz, P.C. Wang, and H. Song Body composition analysis of the pig by magnetic resonance imaging Journal of Animal Science 79 2001 1800 1813
16. Monziols, M., Collewet, G., Mariette, F., Kouba, M., & Davenel, A. (in press). Muscle and fat tissue quantification in MRI gradient echo images using a partial volume detection method. Application to the characterisation of pig belly tissue. Magnetic Resonance Imaging.
17. SAS SAS/STAT user's guide (release 8.1) 1999 SAS Inst. Inc. Cary, NC
18. SCILAB (1989) software. Available from http://scilabsoft.inria.fr/.
19. J. Serra Image analysis and mathematical morphology 1982 Academic press (Ed) London, UK
20. D.W. Shattuck, S.R. Sandor-Leahy, K.A. Schaper, D.A. Rottenberg, and R.M. Leahy Magnetic resonance image tissue classification using a partial volume NeuroImage 13 2001 856 876
21. C. Szabo, L. Babinszky, M.W.A. Verstegen, O. Vangen, A.J.M. Jansman, and E. Kanis The application of digital imaging techniques in the in vivo estimation of the body composition of pigs: a review Livestock Production Science 60 1999 1 11
22. E. Tholen, U. Baulain, M.D. Henning, and K. Schellander Comparison of different methods to assess the composition of pig bellies in progeny testing Journal of Animal Science 81 2003 1177 1184
23. D. Wang, and D.M. Doddrell A segmentation-based and partial-volume- compensated method for an accurate measurement of lateral ventricular volumes on T1-weighted magnetic resonance images Magnetic Resonance Imaging 19 2001 267 272