In vivo measurements of muscle volume by automatic image analysis of spiral computed tomography scans
In vivo measurements of muscle volume by automatic image analysis of spiral computed tomography scans
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DOI：
10.1079/asc200662
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发表时间：
2006-06-01
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影响因子：
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通讯作者：
Simm, G.
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作者：
Navajas, E. A.;Glasbey, C. A.;Simm, G.
本研究探讨了一种自动图像分析方法的准确性，该方法是为螺旋计算机断层扫描（SCTS）开发的，其目的是计算羔羊后腿（HLMVCT）和腰部（LRMVCT）的肌肉体积。图像分析方法的第一步是使用在绵羊断层扫描分析软件（星星）中实施的新程序隔离（分割）SCTS的每个图像中的肌肉区域。由于所研究区域中肌肉形状的差异，新的分割程序在特定子区域中应用不同的分割路径。这些都是由程序根据骨骼标志自动识别的。分割完成后，通过对每个图像中代表肌肉的像素进行计数来自动测量肌肉面积;通过将每个图像的肌肉面积乘以图像深度（切片间距离）来计算体积。使用回归分析，通过比较HLMVCT和LRMVCT与2003-04年屠宰的Texel（TEX）和Scottish Blackface（SBF）雌性和雄性羔羊解剖后测量的后腿和腰部肌肉重量（分别为HLMWD，编号=240和LRMWD，编号=50），评价了这些肌肉体积测量值的准确性。品种，性别和年的影响的协会（SCTS诉解剖）进行了评估。HLMVCT和HLMWD之间存在强相关性（hairspR（2）=97中心点4%），当模型中包括品种时，其仅略微增加（hairspR（2）=97中心点7%）。这表明HLMWD可直接从HLMVCT估计，具有较高的准确度。对于腰椎区域，相关性较高（hairspR（2）=83中心点0%至88中心点8%，取决于模型），但低于后腿，可能是因为自动分割仅隔离了腰最长肌和多裂肌区域。品种有一个显着的影响，预测LRMWD从LRMVCT，以及性别的TEX羔羊的情况下。结果表明，从LRMVCT预测LRMWD需要不同的方程非常不同的品种，如TEX和SBF。
This study investigates the accuracy of an automatic image analysis method that was developed for spiral computed tomography scans (SCTS), with the objective of calculating the volume of muscle in the hind leg (HLMVCT) and lumbar region (LRMVCT) in lambs. The first step in the image analysis method was the isolation (segmentation) of the muscle regions in each image of the SCTS, using a new program that was implemented in the Sheep Tomogram Analysis Routines software (STAR). Due to the differences of muscle shape in the regions investigated, the new segmentation program applies different segmentation paths in specific subregions. These were automatically identified by the program based on skeletal landmarks. After the segmentation was completed, the muscles areas were automatically measured by counting the pixels representing muscle in each image; the volumes were calculated by adding the muscle areas of each image multiplied by the depth of the image (inter-slice distance). The accuracy of these measures of muscle volume was evaluated, using regression analysis, by comparing HLMVCT and LRMVCT to the hind leg and lumbar region muscle weights measured after dissection (HLMWD, no. =240, and LRMWD, no. =50, respectively) of Texel (TEX) and Scottish Blackface (SBF) female and male lambs slaughtered in 2003-04. The effects of breed, sex and year on the association (SCTS v. dissection) were evaluated. There was a strong association between HLMVCT and HLMWD (hairspR(2)=97 center dot 4%), which only increased slightly (hairspR(2)=97 center dot 7%) when breed was included in the model. This indicates that HLMWD can be estimated directly from HLMVCT with a high degree of accuracy. For the lumbar region, the association was high (hairspR(2)=83 center dot 0% to 88 center dot 8% depending on the model) but lower than in the hind leg, probably because the automatic segmentation isolates only the areas of the longissimus lumborum and multifidi muscles. Breed had a significant effect on the prediction of LRMWD from LRMVCT, as well as sex in the case of the TEX lambs. The results indicated that the predictions of LRMWD from LRMVCT require different equations for very divergent breeds such as TEX and SBF.