结合LBP和Gabor特征评价面神经麻痹程度

Fei Xie, Yuchen Ma, Zeting Pan, Xinmin Guo, Jun Liu, G. Gao
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引用次数: 1

摘要

背景:面瘫严重影响患者的身心健康。现有的研究大多是基于主观判断来评估面瘫的程度,而面瘫的定义是模糊的。这将导致评估精度低,甚至误诊。目的:提出一种考虑面部静态不对称和动态变形因素的面瘫程度评估方法。方法:该方法通过对比面部两侧相应局部区域的差异,有效分析异常面部的不对称性。面部不对称的定量评估包括三个步骤:局部面部区域定位、不对称特征提取和不对称双侧表面的量化。我们使用静态和动态量化相结合来生成面瘫分级模型来评估面瘫的程度。结果:我们对40名患者的320张图片进行了实证研究。即使实验测试的准确度没有达到理想的效果,也达到80%以上。结论:利用40例面瘫患者的数据库,实验表明该方法取得了令人鼓舞的效果。
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Degree Evaluation of Facial Nerve Paralysis by Combining LBP and Gabor Features
Context: Facial paralysis affects both mental and physical health of patients severely. The most of existing researches are based on subjective judgments in evaluating the degree of facial paralysis, regardless that the definition of facial paralysis is ambiguous. This will result in low evaluation accuracy and even misdiagnosis. Objective: We propose a method of assessing the degree of facial paralysis considering static facial asymmetry and dynamic transformation factors. Method: This method compares the differences of the corresponding local areas on both sides of the face, thereby analyzes the asymmetry of the abnormal face effectively. Quantitative assessment of facial asymmetry concerns the following three steps: local facial area location, extraction of asymmetric features, and quantification of asymmetrical bilateral surfaces. We use a combination of static and dynamic quantification to generate facial palsy grading models to assess the extent of facial palsy. Results: We then report an empirical study on 320 pictures of 40 patients. Even the accuracy of the experimental tests do not achieve the ideal effect, it reaches more than 80%.Conclusion: Using our facial paralysis database of 40 patients, the experiment shows that our method gains encouraging effectiveness.
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