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首页> 外文期刊>Journal of Computers >Cardio-Thoracic Ratio Measurement Using Non-linear Least Square Approximation and Local Minimum
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Cardio-Thoracic Ratio Measurement Using Non-linear Least Square Approximation and Local Minimum

机译：心动胸部比测量使用非线性最小二乘近似和局部最小值

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—This paper presents a method to automatically measure cardio-thoracic ratio (CTR) from a chest radiographic images using non-linear least square approximation and local minimum. The proposed method consists of initial boundary point identification, cardiac diameter measurement, thoracic diameter measurement and cardio-thoracic ratio measurement. First, the initial boundary points used to approximate the region of thoracic cavity are identified using general human anatomy features. Then the non-linear least square approximation and local minimum are used to detect the heart boundary. Finally, the thoracic cage boundary is detected and the cardio-thoracic ratio can be measured. The proposed method is tested on a set of 255 chest radiographs. The experimental results are evaluated using correlation test between two sets of numerical measurement which are measured by our proposed method and by the radiologists. The evaluation reveals that the correlation result on CTR is about 78%.
机译：- 这篇论文呈现了一种使用非线性最小二乘近似和局部最小值从胸部放射线图像自动测量心脏胸腺量（CTR）的方法。所提出的方法包括初始边界点识别，心直径测量，胸直径测量和心脏胸部比率测量。首先，使用一般人体解剖学特征识别用于近似近似胸腔区域的初始边界点。然后，非线性最小二乘近似和局部最小值用于检测心脏边界。最后，检测到胸笼边界，可以测量心肌胸部比。所提出的方法在一组255胸部射线照片上进行了测试。使用两组数值测量之间的相关试验评估实验结果，这些数值测量由我们所提出的方法和放射科医师测量。评估表明，CTR上的相关结果约为78％。

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