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Comparison between computed tomography and dissection for calibrating pig classification methods

机译:标定猪分类方法的计算机体层摄影术与解剖学的比较

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Since 2009 the EU regulation concerning pig classification has authorised dissection as well as Computed Tomography (CT). The aim of this study was to compare the errors in both references when calibrating the French classification methods. A new CT procedure, which is both accurate and simple to use, was tested.A representative sample of sixty-three pig carcases were measured using two French classification methods, CGM and ZP. Left sides were jointed into the four primal cuts and scanned using a spiral CT, before dissection. The four cuts were then fully dissected.The Lean Meat Percentage (LMP) was calculated according to the EU definition. LMPdis was calculated from -the dissected weight of the lean meat. LMPct was calculated from the muscle volume multiplied by a constant density. Muscle volume was first measured by automatic thresholding, in the Hounsfield range 0-120.Bias between LMPdis and LMPct was not significant.The RSD value for the estimation of LMPct was slightly lower than the RSD for LMPdis. The same was observed from ZP depths. Nevertheless, these differences between RSD values were likely not significant.The current French classification methods CGM and ZP have about the same error whatever the LMP reference is, either from this CT procedure or from partial dissection. Therefore, this CT procedure will be adopted in France when checking periodically the current equations and for calibrating the future classification methods, which will be based on ZP depths.
机译:自2009年以来,欧盟有关猪的分类的法规已批准解剖和计算机断层扫描(CT)。这项研究的目的是在校准法国分类方法时比较两个参考文献中的误差。测试了一种新的CT程序,该程序既准确又易于使用。使用法国的两种分类方法CGM和ZP测量了63个猪pig体的代表性样品。解剖前,将左侧连接成四个原始切口并使用螺旋CT进行扫描。然后将四个切块全部切开,根据欧盟定义计算瘦肉率(LMP)。 LMPdis是根据瘦肉的重量计算得出的。 LMPct由肌肉体积乘以恒定密度计算得出。肌肉体积首先通过自动阈值测量,在Hounsfield范围0-120之间.LMPdis和LMPct之间的偏差不显着.LMPct估计的RSD值略低于LMPdis的RSD。从ZP深度观察到相同的结果。尽管如此,RSD值之间的这些差异可能并不显着。当前的法国分类方法CGM和ZP不论使用该CT程序还是部分解剖法,无论LMP参考是什么,都具有大约相同的误差。因此,在法国,当定期检查当前方程并校准将来的基于ZP深度的分类方法时,将在法国采用此CT程序。

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