Monziols M, Collewet G, Bonneau M, Mariette F, Davenel A, Kouba M
CEMAGREF, 17 Avenue de Cucillé, 35044 Rennes Cedex, France; UMR INRA-Agrocampus SENAH, 35590 Saint Gilles, France.
Meat Sci. 2006 Jan;72(1):146-54. doi: 10.1016/j.meatsci.2005.06.018. Epub 2005 Sep 6.
The aim of this study was to determine the suitability of magnetic resonance imaging (MRI) to predict tissue composition of pig carcasses and cuts. Twenty-four pig carcasses were cut into the four primary cuts that were analyzed with a low field MRI imager before a total dissection. Images were then processed to identify and quantify pixels representing muscle, subcutaneous fat and intermuscular fat fractions. MRI provided a good prediction of muscle content in cuts and carcasses, with R(2) ranging from 0.970 to 0.997. The prediction was slightly less accurate for total fat (0.951⩽R(2)⩽0.986) or subcutaneous fat (0.918⩽R(2)⩽0.994). Finally, the prediction of intermuscular fat content in considering intermuscular fat classified pixels was acceptable only for the belly (R(2)=0.837).
本研究的目的是确定磁共振成像(MRI)预测猪胴体及切块组织成分的适用性。将24头猪胴体切成四个主要切块,在进行完全解剖之前,使用低场MRI成像仪对其进行分析。然后对图像进行处理,以识别和量化代表肌肉、皮下脂肪和肌间脂肪部分的像素。MRI对切块和胴体中的肌肉含量具有良好的预测能力,R²范围为0.970至0.997。对于总脂肪(0.951⩽R²⩽0.986)或皮下脂肪(0.918⩽R²⩽0.994)的预测准确性略低。最后,仅对于腹部,在考虑肌间脂肪分类像素的情况下,肌间脂肪含量的预测是可以接受的(R² = 0.837)。