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首页> 外文期刊>International journal of biomedical imaging >Computer-Aided Cobb Measurement Based on Automatic Detection of Vertebral Slopes Using Deep Neural Network
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Computer-Aided Cobb Measurement Based on Automatic Detection of Vertebral Slopes Using Deep Neural Network

机译：基于深神经网络自动检测椎体斜坡的计算机辅助COBB测量

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Objective. To develop a computer-aided method that reduces the variability of Cobb angle measurement for scoliosis assessment. Methods. A deep neural network (DNN) was trained with vertebral patches extracted from spinal model radiographs. The Cobb angle of the spinal curve was calculated automatically from the vertebral slopes predicted by the DNN. Sixty-five in vivo radiographs and 40 model radiographs were analyzed. An experienced surgeon performed manual measurements on the aforementioned radiographs. Two examiners used both the proposed and the manual measurement methods to analyze the aforementioned radiographs. Results. For model radiographs, the intraclass correlation coefficients were greater than 0.98, and the mean absolute differences were less than 3°. This indicates that the proposed system showed high repeatability for measurements of model radiographs. For the in vivo radiographs, the reliabilities were lower than those from the model radiographs, and the differences between the computer-aided measurement and the manual measurement by the surgeon were higher than 5°. Conclusion. The variability of Cobb angle measurements can be reduced if the DNN system is trained with enough vertebral patches. Training data of in vivo radiographs must be included to improve the performance of DNN. Significance. Vertebral slopes can be predicted by DNN. The computer-aided system can be used to perform automatic measurements of Cobb angle, which is used to make reliable and objective assessments of scoliosis.
机译：客观的。开发一种计算机辅助方法，可降低Cobb角度测量的可变性，用于脊柱侧凸评估。方法。深度神经网络（DNN）培训，用从脊柱模型射线照片提取的椎骨贴片培训。脊柱曲线的COBB角度从DNN预测的椎骨斜坡自动计算。分析了六十五片和40个模型射线照片。经验丰富的外科医生对上述射线照相进行了手动测量。两位审查员使用建议和手动测量方法来分析上述X线片。结果。对于型号X光片，腹部相关系数大于0.98，平均绝对差异小于3°。这表明所提出的系统显示出型号射线照相测量的高可重复性。对于体内X线片，可靠性低于模型射线照片的可靠性，并且计算机辅助测量与外科医生的手动测量之间的差异高于5°。结论。如果具有足够的椎骨贴片的DNN系统培训，可以减少COBB角度测量的可变性。必须包括在Vivo射线照片中的培训数据，以提高DNN的性能。意义。 DNN可以预测椎体斜坡。计算机辅助系统可用于执行COBB角度的自动测量，用于对脊柱侧凸的可靠性和客观评估进行可靠和客观的评估。

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